Search results for "Cloud Data Platforms"

Knowit AB (Publ)

Build the future of data platforms with Databricks at the core Do you want to work with one of the market’s most powerful data platforms and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help create scalable, modern data solutions – with Databricks and Python at the center. About the role as a Databricks Specialist at Knowit In this role at Knowit in Gothenburg, you will help our clients design, build, and orchestrate modern cloud-based data platforms. You will work with Databricks as the core of these solutions and have the opportunity to stay at the forefront by exploring new features, ways of working, and best practices within the platform. You will be part of a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and continuous technical development are a natural part of everyday work. As a selected Databricks partner, we work closely with the platform and continuously stay up to date with new capabilities. Your main responsibilities will include: Designing and developing scalable data platforms based on Databricks and Lakehouse architecture Building, optimizing, and orchestrating data pipelines using Python and PySpark Working with data governance and management through Unity Catalog Integrating data with BI, AI, and ML solutions to create real business value Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working Data platform: Databricks Programming: Python, PySpark Cloud platforms: Azure, AWS, and Google Cloud Data architecture: Lakehouse, modern data platforms AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one – your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value. What does Knowit offer in Gothenburg? At Knowit in Gothenburg, you will be part of a culture characterized by collaboration, curiosity, and technical excellence. You will work on exciting and varied projects across industries such as retail, finance, automotive, and manufacturing, where Databricks, Python, and modern data platforms are at the core. We offer a high degree of flexibility in how you work and the opportunity to work with your preferred major cloud platform depending on client needs. At the same time, we invest long-term in your development through continuous learning, including training, certifications, and conferences. You will be based at our modern office in Gothenburg, with the possibility of a flexible work setup, and become part of a company that values work-life balance – where you also get to help shape the future of data engineering together with Knowit. Are you ready to shape the future of data platforms? We believe the future of data engineering is Databricks-driven. Do you want to help shape it together with us at Knowit in Gothenburg? Welcome to apply – we look forward to hearing from you!

Knowit AB (Publ)

Build modern data platforms with Databricks at the center Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution. About the role as a Databricks Specialist at Knowit In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform. You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities. Your main responsibilities will include: Designing and developing scalable data platforms based on Databricks and Lakehouse architecture Building, optimizing, and orchestrating data pipelines using Python and PySpark Working with data governance and management through Unity Catalog Integrating data with BI, AI, and ML solutions to create real business value Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working Data platform: Databricks Programming: Python, PySpark Cloud platforms: Azure, AWS, and Google Cloud Data architecture: Lakehouse, modern data platforms AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.

Knowit Group

Build the future of data platforms with Databricks at the core Do you want to work with one of the market’s most powerful data platforms and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help create scalable, modern data solutions – with Databricks and Python at the center. About the role as a Databricks Specialist at Knowit In this role at Knowit in Gothenburg, you will help our clients design, build, and orchestrate modern cloud-based data platforms. You will work with Databricks as the core of these solutions and have the opportunity to stay at the forefront by exploring new features, ways of working, and best practices within the platform. You will be part of a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and continuous technical development are a natural part of everyday work. As a selected Databricks partner, we work closely with the platform and continuously stay up to date with new capabilities. Your main responsibilities will include: * Designing and developing scalable data platforms based on Databricks and Lakehouse architecture * Building, optimizing, and orchestrating data pipelines using Python and PySpark * Working with data governance and management through Unity Catalog * Integrating data with BI, AI, and ML solutions to create real business value * Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working * Data platform: Databricks * Programming: Python, PySpark * Cloud platforms: Azure, AWS, and Google Cloud * Data architecture: Lakehouse, modern data platforms * AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one – your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value. What does Knowit offer in Gothenburg? At Knowit in Gothenburg, you will be part of a culture characterized by collaboration, curiosity, and technical excellence. You will work on exciting and varied projects across industries such as retail, finance, automotive, and manufacturing, where Databricks, Python, and modern data platforms are at the core. We offer a high degree of flexibility in how you work and the opportunity to work with your preferred major cloud platform depending on client needs. At the same time, we invest long-term in your development through continuous learning, including training, certifications, and conferences. You will be based at our modern office in Gothenburg, with the possibility of a flexible work setup, and become part of a company that values work-life balance – where you also get to help shape the future of data engineering together with Knowit. Are you ready to shape the future of data platforms? We believe the future of data engineering is Databricks-driven. Do you want to help shape it together with us at Knowit in Gothenburg? Welcome to apply – we look forward to hearing from you!

Deer Data AB

About Deerdata Deerdata AB is a Stockholm-based data & AI consultancy. We design and build modern data platforms, analytics solutions, and AI capabilities for clients across automotive, telecommunications, retail, and business process outsourcing industries. We're a tight team with short decision paths and a collaborative engineering culture. The role We're hiring a Senior Data Engineer to build and maintain data pipelines and platform infrastructure for our clients. You'll work with modern tooling, lead technical delivery, and help shape our data engineering practice. What you'll do: Design and develop data pipelines. Build and maintain dbt transformation models. Work with Azure or similar data services. Manage infrastructure with Infrastructure as Code (Terraform, Bicep, or equivalent). Implement data quality, monitoring, and CI/CD for data workflows Collaborate with analysts, architects, and client stakeholders Apply AI/ML and GenAI techniques to data platforms — from automation and intelligent pipelines to LLM-powered tooling and agentic workflows Mentor junior engineers and contribute to technical direction What we're looking for: 5–10 years of data engineering experience Consulting experience — comfortable in client-facing roles, delivering on engagements Deep expertise in Azure cloud data services or similar (AWS, GCP). Strong proficiency with Databricks and Apache Spark or similar (Snowflake, BigQuery, Redshift etc). Advanced SQL and Python skills Experience with Scala for Spark development Proficiency in dbt (or equivalent transformation frameworks) Experience with Infrastructure as Code (Terraform, Bicep, ARM, or similar) Solid understanding of data modelling and warehouse design Experience with cloud platforms (AWS, GCP) — multi-cloud familiarity valued Interest and experience in AI/ML and GenAI — LLMs, intelligent automation, agentic workflows, or MLOps Fluent English (Swedish a plus) What we offer: Start: August/September, 2026 (or by agreement) Type: Full-time, permanent (tillsvidare) Location: Solna, Stockholm

Coop Sverige AB

Coop Sverige – Together we make food-Sweden sustainable At Coop we are building the data backbone of a truly data-driven company. We run stores for our 4.2 million members, and our motto is “Relevance in every touchpoint.” Understanding our customers’ needs and behaviours is what fuels everything we do – from purchasing and logistics to personalised customer experiences. We are now strengthening our data organisation with an SAP Data Engineer who will help connect our strong SAP estate to the next generation of AI and analytics at Coop. About the role You will be part of our Data Platform team, which sits within Coop’s AI & Business Intelligence organisation – the team building the data foundation that powers analytics and AI across the company. This is a role at the intersection of two worlds. You will build and manage data models, transformations and integrations in SAP Datasphere and SAP Business Data Cloud (BDC) – and, just as importantly, make that SAP data flow into CAP, our Azure-based data platform, where it becomes available to data scientists, analysts and business users across the company. In other words: you don’t just build inside SAP. You make SAP data usable everywhere. You will be central to integrating our SAP S/4HANA and analytical data into CAP, so that high-quality, well-modelled data powers AI/ML, self-service analytics and better decisions throughout Coop. What you will do Develop data models, transformations and integrations in SAP Datasphere and SAP Business Data Cloud (BDC). Integrate and deliver SAP data into CAP, our Azure data platform, ensuring it is reliable, well-structured and ready for downstream analytics and AI/ML use. Refine data from SAP systems – ideally S/4HANA – into products and insights that drive real business value. Design and build engaging reports and dashboards in SAP Analytics Cloud (SAC) that make data accessible and easy to understand. Safeguard data quality, performance and usability across the full data flow. Partner with the business to turn requirements into robust, scalable technical solutions, and contribute across the whole development lifecycle – testing, troubleshooting and deployment included. Who are you? You are someone who is energised by turning data into insight and opportunity. You see the potential in building something new – and you want to be part of it from the start. You enjoy close collaboration, sharing knowledge and solving problems together, and you move naturally between thinking strategically and rolling up your sleeves to deliver. We believe that you Have experience developing and optimising data solutions in SAP Datasphere, SAP HANA or SAP BW. Have a solid command of SQL, data integration and data modelling, with an eye for quality and performance in data flows. Understand ETL processes and how to extract, transform and load data efficiently and reliably. Know CDS (Core Data Services) and how CDS views are designed for flexible, high-performance models. Are comfortable refining data from SAP source systems (ideally S/4HANA) into insights that support the business. Have experience building reports and dashboards in SAP Analytics Cloud. Can communicate and collaborate effectively in cross-functional teams, discussing solutions with both technical specialists and non-technical stakeholders. It’s meritorious if you Have hands-on experience with SAP Business Data Cloud (BDC). Have worked with cloud data platforms – preferably Azure (e.g. Databricks, data lake / medallion architecture) and understand how SAP and cloud estates connect. Have familiarity with core SAP S/4 business processes (sales, purchasing, inventory, finance). Have worked with DevOps and agile delivery. As a person, you are: Engaged and humble – you help out where it’s needed. Curious and solution-oriented – you see challenges as opportunities. Structured and thorough – you build for long-term sustainability. Communicative and collaborative – you create clarity and shared understanding. About us The grocery trade is a stable, long-term industry, and Coop’s offering is essential to the transition toward a greener, more sustainable future. You’ll join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. Our office in Solna Business Park offers a modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. If you have questions about the position, you are welcome to contact Hiring Manager Jakob Liljedahl (jakob.liljedahl@coop.se) or the recruiter Andreas Nilsson (Andreas.nilsson2@coop.se). Welcome with your application! For a sustainable future together:Coop is Sweden's largest cooperative and a leading player in the grocery retail sector, with over 4 million members. We focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services. We believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace. Therefore, we welcome everyone, regardless of gender, age, background, or ethnic origin.

Schibsted News Media AB

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. What you'll do Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we're looking forMust have 4+ years of experience as a Data Engineer or similar role Strong SQL skills and a good understanding of modern data warehousing concepts Experience building data pipelines and working with orchestration tools such as Airflow or similar Hands-on experience with dbt and modern data transformation practices Experience with Python for data engineering or automation Experience with Git and modern software engineering practices Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with software engineering practices such as automated testing, CI/CD, and code review workflows Experience with Snowflake or similar cloud data platforms Experience with Infrastructure as Code (Terraform or similar) Experience with AWS, GCP, or Azure Interest in data quality, observability, governance, or platform engineering Why join us? Build the platform that enables data and AI across Schibsted Media Work with modern technologies and experienced engineers across multiple teams Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted's premium media products, including news and podcasts About you You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps, with a meaningful say in the platform's technical direction. WHAT YOU'LL DO * Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform. * Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses. * Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services. * Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning. * Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features. * Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments. WHAT YOU'LL BRING * 4+ years of professional experience building and shipping production-quality software. * Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar). * Solid grounding in at least one of Java or Python, and willingness to be effective in both. * A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product. * Experience designing software for performance, scalability, and predictable cost on cloud infrastructure. BONUS POINTS * Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale. * Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.). * Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. * Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working in a distributed, remote-first team and shipping to enterprise customers. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps, with a meaningful say in the platform's technical direction. WHAT YOU'LL DO * Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform. * Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses. * Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services. * Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning. * Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features. * Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments. WHAT YOU'LL BRING * 4+ years of professional experience building and shipping production-quality software. * Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar). * Solid grounding in at least one of Java or Python, and willingness to be effective in both. * A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product. * Experience designing software for performance, scalability, and predictable cost on cloud infrastructure. BONUS POINTS * Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale. * Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.). * Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. * Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working in a distributed, remote-first team and shipping to enterprise customers. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Mpya Sci & Tech AB

Mpya Sci & Tech was created by and for people who love technology and science. We’re not here to do what everyone else is doing. We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With extensive experience and deep industry knowledge, we’ve built a forward-leaning and cutting-edge company—our way. At Mpya Sci & Tech, we believe in a sustainable working life where we build a culture together based on genuine involvement, eager curiosity, and the freedom to be yourself. Learn more at: www.mpyascitech.com . Mpya Sci & Tech is a company built by and for engineers. We have created a workplace where you as an employee are always at the center. In everything we do, we strive for a high degree of involvement and responsiveness to our employees’ thoughts about their future work and career. Together we build a strong, allowing, inclusive and curious culture with great conditions for you as an employee. We want you to have an assignment where you feel passion, develop and have balance in life. We are now looking for a Senior Data Engineer to join our Data team in Gothenburg Do you have experience building robust data platforms and pipelines that truly make a difference? Then you might be exactly who we are looking for. As a Senior Data Engineer at Mpya Sci & Tech, you will work with some of Gothenburg’s most exciting tech companies and organizations. Since we collaborate with clients of different sizes, across different industries and application areas, your preferences and skills will help shape your future assignments. We offer a role where you get to use your technical expertise and problem-solving skills, while having the freedom to influence both your assignments and your direction. What you will do Design and implement scalable data architectures and ETL/ELT pipelines Build and orchestrate reliable data workflows using modern tools for cloud data platforms, streaming and real-time analytic Take an active part in data quality, governance and security – making data trustworthy and AI-ready Collaborate with data scientists, ML engineers, developers and other specialists to create value from data Depending on the assignment, contribute to machine learning and AI initiatives – from feature pipelines and MLOps to bringing models into production We believe you have Several years of experience as a Data Engineer or in a similar role Strong skills in Python, SQL and distributed data processing such as Spark/PySpark Solid experience with modern cloud platforms such as Azure, AWS or GCP, and platforms like Databricks, Snowflake or Microsoft Fabric Experience with orchestration and transformation tools such as Airflow or dbt, and an engineering mindset including CI/CD, testing and infrastructure as code Experience with containerization and deploying applications in Kubernetes Curiosity about – or hands-on experience in – Data Science, Machine Learning or Generative AI is a plus The ability to take the lead in technical decisions and a strong interest in staying up to date within the field A prestigeless attitude, great commitment and a willingness to contribute to a good team spirit Fluent English, spoken and written – Swedish is a plus Who we are At Mpya Sci & Tech, we believe in a sustainable working life where we together build a culture where you can: Be Dedicated Be Brave and Curious Be Inclusive and Allowing We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With deep industry knowledge and extensive experience, we have built a forward-leaning and innovative company – our way. Applixcation Does this sound like an opportunity for you? Apply today via www.mpyascitech.com, or no later than August 16. Warm welcome with your application!

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations unlock value through data, AI and modern digital platforms. Our capability is end-to-end; from strategy, discovery and advisory through to architecture, delivery and optimisation. We help clients balance business ambition with technical feasibility, ensuring transformation delivers measurable outcomes, not just great ideas. Working across sectors including financial services, retail, automotive, media, healthcare, public sector and consumer brands, you'll encounter a diverse range of challenges, levels of maturity and transformation priorities. Success in this role requires the ability to adapt your approach to different client environments while maintaining a relentless focus on value and impact. As a Data Director, you'll help organisations define future-state data ecosystems, modernise cloud and data platforms, unlock AI opportunities and build scalable capabilities that drive long-term growth. You're a consulting leader who thrives in complex enterprise environments, helping organisations turn data, AI and technology into measurable business outcomes. You're equally comfortable facilitating C-suite conversations, shaping transformation roadmaps and guiding clients through large-scale change. You combine strategic thinking with hands-on technical credibility. Whether defining a data strategy, designing an operating model, modernising a cloud platform or exploring GenAI opportunities, you stay close to delivery and work alongside architects, engineers and product teams to turn vision into reality. You excel in ambiguity, bringing structure to complex challenges and aligning stakeholders around a clear path forward. You connect business objectives, customer needs, operations, technology and data to design solutions that scale across organisations, not just individual systems. You'll build trusted relationships with senior stakeholders, identify growth opportunities and contribute to new business development, while mentoring and developing consultants, architects and engineers across the wider practice. Most importantly, you're pragmatic. You focus on outcomes over theory, balancing strategic ambition with practical delivery to create lasting impact for clients. Must have qualifications * Proven experience leading enterprise-scale data transformation or AI programmes  * Strong consulting background with experience operating in complex client environments  * Experience shaping modern data strategies, architectures and operating models  * Deep understanding of cloud data ecosystems across GCP, AWS or Azure - GCP experience is essential. * Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems  * Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences  * Hands-on technical credibility across data engineering, analytics, AI or architecture disciplines  * Experience balancing strategic advisory with practical delivery leadership  * Ability to operate in ambiguity and bring structure to evolving transformation programmes  * Strong systems thinking, connecting business goals, technology, operations and data  * Commercial awareness, including experience contributing to proposals, pre-sales or account growth  * Experience working within agile, cross-functional delivery environments  * Excellent communication and presentation skills  * A collaborative and pragmatic mindset focused on measurable outcomes  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognise that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits   This is a full time position based in the UK.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Bannerflow AB

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! The challenge: Scaling data for the future Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. Are you + Bannerflow = True? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact customers and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like padel tournaments, webinars, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. Your mission Design and build scalable data pipelines for analytics and AI-driven features. Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. So, what are we looking for? 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). Experience with designing scalable architectures and pipelines that support large datasets efficiently. Passion for AI/ML-driven data features and enabling advanced analytics. Problem-solver mindset, you love optimizing performance and building robust systems. Curiosity & ownership – you thrive in an environment where you can experiment and improve. Not sure if you check all the boxes? Apply anyway! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech!

DKR

David Kennedy Recruitment is working with an innovative global Customer Experience company currently looking to hire a Data Engineer to join their growing international team. Position: Data Engineer Location: Limassol, Cyprus Employment type: Full-time DUTIES AND RESPONSIBILITIES: Develop and maintain batch and incremental ETL/ELT pipelines Build and manage data ingestion processes from APIs and relational databases Implement and optimise transformation logic within the Data Warehouse environment Support data quality validation, monitoring, auditability, and reliability initiatives Assist with containerised and automated workflows in Docker-based environments Collaborate with technical teams and business stakeholders to understand data structures and business requirements Support schema evolution, deployment processes, and system scalability Document pipeline logic, workflows, and technical decisions to support maintainability and best practices Contribute to the continuous improvement of data engineering standards and processes. REQUIREMENTS: Native/fluent in English both oral and written 3-5 years of experience in Data Engineering, Software Engineering, or backend development Strong SQL proficiency and solid working knowledge of Python Good understanding of ETL/ELT concepts and incremental loading principles Experience working with relational databases, APIs, and data integration processes Familiarity with Git and version control systems Experience with cloud data platforms such as BigQuery or Snowflake Knowledge of orchestration tools such as Airflow Familiarity with Docker and containerised environments Understanding of data modelling concepts and structured data environments Awareness of secure data handling and access control principles Strong analytical, problem-solving, and engineering fundamentals Structured, detail-oriented, and proactive approach to work Ability to quickly learn new technologies and adapt to evolving environments Effective communication skills with the ability to collaborate across technical and business teams Ability to understand and navigate technical systems holistically, even when working with unfamiliar tools or technologies. OFFER: Excellent working environment within an international organisation. Medical insurance and pension plan options. Birthday vouchers and additional perks for special occasions. Fully equipped kitchen and in-house entertainment space. Monthly lunches, corporate events, sports teams, competitions, and social activities. Daily snacks and a casual dress code. Strong opportunities for professional growth and career progression within a global organisation.

Thoughtworks

Software Developers collaborate with Business and Quality Analysts, Designers, Project Managers and more to design software solutions that will create significant change for our clients. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result. By balancing strong opinions with a willingness to find the right answer, Software Developers bring integrity to technology, ensuring all voices are heard. Our entry-level consultants jumpstart their careers with the First Year Graduate Experience: our year-long program that starts with Thoughtworks University, starts with a four-week immersive training in India. Attendance is mandatory, as this in-person experience is an essential part of the program. Candidates must be available to travel and stay in India for the full duration of this initial phase. Once participants return to their home country, the program continues with monthly sessions dedicated to specific topics and ongoing development. And it's important to call out that we consider tech talent from all walks of life. Whether you're a Computer Science major with less than one year of professional experience, a coding boot camp graduate or a career changer who is working toward becoming a software developer, you have the opportunity to grow in our community of passionate technologists. Be aware that these positions are intended for 1st September, 2026 start. JOB RESPONSIBILITIES * You will pair to write clean and iterative code using practices like TDD, SOLID principles, OO design and pair programming * You will use continuous delivery practices to improve software delivery speed * You will work in collaborative, product-focused teams to build innovative customer experiences and create meaningful change for a variety of clients * Learn, digest and subsequently apply the latest technology thinking from our Technology Radar to solve client problems * Tackle a variety of challenges for clients of all industries, while collaborating with new teammates from diverse backgrounds JOB QUALIFICATIONS TECHNICAL SKILLS * You have a strong foundation in Python and SQL, up to 1 year of professional experience, and a solid understanding of object-oriented programming (OOP) concepts. * You understand analysis, coding and object-oriented concepts. * You have a basic conceptual understanding of data modeling. * You have awareness of clean-code concepts and practices. * Conceptual knowledge of or exposure to cloud data platforms like Snowflake or Databricks is a plus. * You have working knowledge of writing and optimizing SQL queries.   PROFESSIONAL SKILLS * You thrive in a collaborative, flat environment that values transparency, openness, feedback and change * You have a passion for learning and sharing knowledge as well as a desire to create meaningful solutions for business problems * You're resilient in ambiguous situations and can approach challenges from multiple perspectives * Our interviews and work environment use English as the primary language. Candidates must be proficient in English. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.   ABOUT THOUGHTWORKS Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.   See here our AI policy.

Veritaz AB

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an experienced Technical Project Manager What You Will Work On Lead and coordinate the feasibility study and pilot initiative. Plan and manage project activities, timelines, and deliverables. Coordinate technical workstreams covering: Architecture Data Sharing Security Authorization Data Consumption Facilitate collaboration between Business Intelligence teams, Data Platform teams, architects, suppliers, and internal stakeholders. Monitor project progress, dependencies, risks, issues, and decision points. Ensure technical deliverables are completed on time and meet quality expectations. Prepare documentation and decision material for governance and executive stakeholders. Support prioritization and planning for future implementation phases. Collaborate closely with architects to define the target architecture and pilot approach What You Bring Proven experience as a Technical Project Manager within Data, Analytics, or Data Platform initiatives. Strong understanding of cloud-based data platforms, including: Microsoft Fabric Azure Synapse Analytics Lakehouse architecture Semantic Models Experience coordinating multiple technical teams and stakeholders. Strong planning, organization, and project governance skills. Ability to communicate complex technical topics to both technical and business audiences. Experience translating technical challenges into actionable recommendations and decision material. Excellent communication and stakeholder management skills.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Neo4j is the leader in graph analytics, and our cloud platform is at the heart of powering data-driven innovation for thousands of users worldwide. We are on the lookout for versatile Full-Stack Engineers to help us design and build exceptional features that lower the bar for users to perform graph analytics. In this role, you will own the user-facing surface of those products. You'll help new users get to value quickly by reducing friction in their first workflows, and make our internal tooling effective enough that the rest of the team can support and operate the service confidently. You will work closely with our internal design system at neo4j.design, and collaborate across product, design, backend, and SRE to ship cohesive, end-to-end experiences. This is a mid-to-senior role at the intersection of product UX, graph analytics, and cloud data platforms. WHAT WE VALUE We’re looking for engineers with experience in both frontend and backend development. You should have experience designing APIs, implementing data persistence, and integrating with third-party services. Familiarity with automated testing approaches, from unit testing to full-stack integration tests, is important. A willingness to learn, grow, and tackle new challenges as part of a distributed and collaborative team is essential. WHAT YOU'LL DO As a Software Engineer, you’ll play a key role in delivering impactful features that enhance how users interact with Neo4j Aura graph analytics. You’ll work on everything from user-friendly interfaces to robust back-end systems, ensuring our solutions are scalable, reliable, and adaptable to diverse user needs. * Build and evolve the Aura Graph Analytics user experience inside the Neo4j Aura console. * Develop and maintain the in-app GUI for the Neo4j Graph Analytics App for Snowflake, an application that guides users through a multi-step workflow: selecting Snowflake data, projecting them as graphs, configuring and running algorithms, and writing back. * Design the graph-projection and algorithm-configuration UX for users who are not graph experts: clear workflow steps, sensible defaults, validation, and interactive previews of sampled graphs. * Improve the internal support tooling used to inspect the state of Aura Graph Analytics deployments and diagnose customer issues. * Use our shared design system (neo4j.design) so our products feel like one family. * Partner closely with product, design, backend, and SRE to ship cohesive end-to-end experiences across team boundaries. WHAT YOU'LL BRING * Experience building and shipping production-quality software. * Strong TypeScript / JavaScript skills and significant frontend experience in production codebases. * Solid experience with React and modern frontend tooling (such as Tailwind). * Comfort collaborating with designers in Figma (or similar tools) and translating designs into accessible, responsive UI. * A user-centric mindset and a genuine interest in product UX, not just shipping components. * Experience creating API services in Golang, Java or Python BONUS POINTS * Experience working with Spotify’s Backstage framework. * Familiarity with graph data, graph algorithms, or data-science workflows. * Experience with Python-based UI tooling such as Streamlit and AnyWidget. * Experience with Snowflake, Snowpark, and building UIs that run inside a Snowflake Native App. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

PostNord Group AB

Are you passionate about the infrastructure of scalable, secure, and future-proof data platforms that power analytics, AI, and business-critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks-based data platform that enables data-driven decision-making, advanced analytics, and AI innovation at scale. About the role In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud-based platform that enables seamless data ingestion, processing, and consumption across the organization. As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices. Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency. We're looking for someone who combines a strong engineering foundation with hands-on experience building and operating the infrastructure of enterprise-scale cloud platforms. Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles. Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure. Experience supporting modern data platforms, analytics, AI, and machine learning workloads. Key technical skills We're looking for someone with strong expertise across several of the following areas: Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads. Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management. Containerized and cloud-native environments, including Kubernetes and Docker. Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls. Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments. Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps). Scripting and automation, using Python, PowerShell, or Bash. Nice to have Experience with any of the following would be considered an advantage: Microsoft Purview and Apache Airflow. MLOps and Azure AI Services. Multi-cloud environments. Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications. Experience from the logistics industry. Language requirements Fluent in English, both written and spoken Swedish, Danish, Finnish, or Norwegian is considered an advantage Who you are You are a curious and proactive engineer who enjoys solving complex challenges and building reliable platforms that create value at scale. With a strong analytical mindset and a passion for troubleshooting, you thrive in environments where continuous improvement, automation, and operational excellence are key. You take a structured approach to problem-solving, have a natural sense of ownership, and are committed to delivering high-quality solutions. At the same time, you're a collaborative team player who builds strong relationships across Engineering, Architecture, Security, and Business teams, enabling effective stakeholder engagement and driving results through cross-functional collaboration. Apply Welcome to submit your application! The selection is ongoing, but please note that due to the summer holiday period, the recruitment process may take longer than usual and response times may therefore be delayed. We appreciate your patience and understanding. If you have any questions or concerns, please email recruiting manager Linda Njeru at linda.njeru@postnord.com. We look forward to hearing from you!  Read more about our union representatives PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.