Data Platform Engineer

Data Platform Engineer

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!

Data Platform Engineer, Solna

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.

Senior Data Platform Engineer

Kambi Sweden AB

About Kambi Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners. Our vision is to create the world’s leading sports betting experiences, together with our partners. Purpose Be part of a highly skilled, self-organized engineering team building scalable data and machine-learning infrastructure in the cloud. You’ll help design and evolve event-driven data pipelines and model-serving capabilities that power high-value decision-making across the business, working closely with key stakeholders and quantitative analysts to turn complex data into actionable insights and deliver Player and Risk Management products. Key Responsibilities Collaborate with engineers and analysts to design, implement, and maintain cloud-native data and ML services. Build and optimize streaming and batch data workflows with Kafka, dbt/SQL, and related technologies. Develop robust backend components and services in Java/Spring Boot and contribute to model-serving capabilities in Python where appropriate. Contribute to architectural discussions and propose practical solutions in a fast-moving, exploratory environment. Champion best practices in testing, monitoring, and observability to keep data products reliable and secure. Desired Skills & Experience (You don’t need to tick every box, strong skills in several areas plus willingness to learn are what matter most.) Java/Spring Boot expertise (core requirement). Proficiency in Python for data and ML workflows. Hands-on experience with cloud platforms (AWS, GCP, or similar) and modern CI/CD pipelines (e.g., Jenkins, Argo CD). Familiarity with Kafka and dbt/SQL for streaming and transformations. Experience with Spark or similar distributed processing frameworks is a plus. Personal Qualities (Critical for Success) Driven & Self-Motivated – thrives when goals evolve and problems are ambiguous. Communicative & Collaborative – shares ideas openly and builds trust across disciplines. Curious & Adaptive – eager to explore new tools and approaches. Humble & Team-Oriented– values collective achievement in a highly self-organized team. Interested in learning more? Please submit your CV and a cover letter — we’d love to hear from you! #wearekambi Kambi's ongoing commitment to Diversity and Inclusion in the workplace If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback. Creating an inclusive environment We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today. #wearekambi