Sökresultat för "data engineering"

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will step into a key role in a BI and data warehouse modernization initiative where a legacy Microsoft environment is being analyzed, reshaped and moved toward a modern cloud-based data platform. This is an early-phase assignment where you get to combine discovery work with hands-on delivery, helping define how existing data flows, dependencies and models should evolve. The environment is complex and calls for someone who understands more than implementation alone. You need to be comfortable looking at traditional DWH and BI solutions in depth, identifying how ETL flows, stored procedures, views, tables and integrations fit together, and turning that understanding into a practical modernization path. What makes this role especially interesting is the opportunity to influence both direction and implementation from the very start. Job DescriptionYou will take a leading role in the early stages of the modernization and help shape the technical path forward. You will analyze legacy SQL Server and SSIS-based data warehouse flows, including ETL, stored procedures, views, tables and dependencies. You will contribute to discovery and analysis work as well as hands-on implementation. You will help modernize existing data flows toward platforms such as Microsoft Fabric, Azure Synapse, Databricks or Snowflake. You will work with data modeling and help apply concepts such as Kimball, Data Vault, star schema and data marts in a practical way. You will document technical solutions, mappings, data flows and key design decisions in a structured manner. You will work closely with architects, BI developers, business experts and other data engineers. You will support and guide more junior data engineers in the team. RequirementsExperience working as a Senior Data Engineer. Very strong SQL skills, especially in SQL Server and T-SQL. Documented experience with SSIS and traditional Microsoft DWH and BI environments. Experience analyzing ETL flows, stored procedures, views, tables and dependencies. Experience of modernization or migration from a legacy DWH to a cloud-based data platform. Experience with at least one of the following: Microsoft Fabric, Azure Synapse, Databricks or Snowflake. Good understanding of Kimball, Data Vault, star schema and data marts. Experience with CI/CD, Git and structured development flows. Ability to document technical solutions, data flows, mappings and design decisions. Ability to collaborate closely with architects, BI developers, business experts and other data engineers. Ability to contribute in both analysis and discovery work as well as hands-on implementation. Ability to lead more junior data engineers. Nice to haveExperience with dbt. Experience with SSAS, SSRS or Power BI. Experience with Purview, Unity Catalog or DataHub. Experience from retail, supply chain, finance, HR or similar domains. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

In this role, you will work with our customers on various data engineering projects. This role is perfect for those with a good foundation in data engineering, and a passion for operational excellence in data management and analytics. You will design, build, and maintain efficient, scalable data pipelines and work closely with data scientists, analysts, and stakeholders to deliver customized data solutions that drive impactful business decisions. Develop and manage scalable data pipelines, ensuring efficient and reliable data flows. Implement processes and solutions to improve data quality, accuracy, and consistency. Create scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work. Build and maintain data integrations, including file, messaging, and API-based systems. Develop data models tailored to meet business requirements. Contribute to implementing infrastructure as code solutions. Collaborate with data scientists, architects, and software developers to support the creation of data architecture and governance models. Enhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval. Implement security measures to protect data from unauthorized access. Ensure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage. Monitor cost efficiency and identify areas for optimization. You are passionate about building data products and enabling data-driven decisions. You enjoy sharing knowledge and learning new things in the data, analytics & AI area. You want to develop and maintain robust, scalable data and analytics systems. You have the ability to work both independently and collaboratively within a team environment. Fluent in English both written and verbal. You are eager to learn and have a basic understanding of working with data sets You are gaining experience with ETL workflows and excited to improve your skills in streamlining these processes. You have a foundational knowledge of big data concepts, cloud technologies, and data modeling. Your skills in SQL and Python are strong, with a focus on writing efficient queries. You are gaining hands-on experience with cloud platforms like AWS, Azure, or Google Cloud and are keen to expand your knowledge.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. As an Engineering Manager, you will lead the team behind Truecaller's Recommendations and adVantage, our AI-powered performance advertising platform. It is a multi-disciplinary team of ML engineers, data scientists, backend engineers, and data engineers building the retrieval, ranking, and contextual-bandit systems, and the real-time serving and data infrastructure beneath them, that decides what Truecaller recommends and shows to hundreds of millions of users. The role sits at the intersection of technical depth and people leadership: you will set direction across an applied-ML stack, keep a highly specialized team healthy and growing, and turn a research-heavy roadmap into shipped, reliable systems. What you'll do: * Lead, grow, and retain a high-performing team of ML engineers, data scientists, backend engineers, and data engineers, investing deliberately in each person's development and career path. * Set technical direction across the recommendation and advertising ML stack - retrieval, ranking, contextual bandits, and conversion modeling - along with the real-time serving and data platforms that support them. * Own team planning, prioritization, and delivery, balancing near-term product and campaign commitments against long-term platform health. * Partner closely with product, data science, and other engineering teams to translate business goals - revenue, engagement, advertiser outcomes - into a clear technical roadmap. * Push for reuse: config-driven, composable platforms and closed feedback loops rather than one-off models and pipelines. * Drive rigor in experimentation and evaluation, from offline metrics to online A/B tests, so model changes ship on measured impact. * Keep production systems reliable at scale, owning the latency, quality, and cost of models serving hundreds of millions of users. * Run regular 1:1s, performance reviews, and career development conversations, and recruit and onboard new talent as the team grows. * Stay close enough to the technical detail to make informed calls, unblock your team, and earn credibility with senior ML and backend engineers. What you bring in: * Proven experience leading or managing engineering or ML teams, ideally in recommendations, ranking, ads, search, or a similarly ML-heavy domain. * A solid grasp of applied ML in production - retrieval and ranking, experimentation, model serving, and the data that feeds them - enough to engage credibly on technical trade-offs. You do not need to be the strongest modeler in the room; you need to lead the people who are. * Working knowledge of backend and data engineering practices - architecture, real-time systems, pipelines, and warehousing - enough to reason about the full stack your team owns. * Strong leadership and communication skills, with the ability to align specialists with different skill sets toward shared goals. * A track record of delivering complex technical projects on time and at scale. * Comfort operating in ambiguity and making pragmatic trade-offs between speed and quality. * A collaborative mindset and the ability to work closely with cross-functional stakeholders. It would be great if you also have: * A hands-on background in ML engineering, data science, or backend development before moving into management. * Experience with recommender systems, contextual bandits or reinforcement learning, or performance advertising and ad-serving systems. * Familiarity with large-scale data and ML platforms (Spark, Kafka, Airflow, feature stores, model serving). * Familiarity with cloud infrastructure (GCP preferred; AWS or Azure also fine). * Experience scaling teams in a high-growth tech environment. What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

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 are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands. In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams. You will join the Data & AI organization in the Data Product Engineering team, 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 are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products. You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey. What you will do Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working Help improve reliability, performance, cost-efficiency, and scalability of our data solutions 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 are looking forMust have 3+ years experience as a Data Engineer, Analytics Engineer, or similar role Strong SQL skills and good understanding of data warehousing concepts Experience building data pipelines or data models for analytics, reporting, or product use cases Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar 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 Python or scripting for data engineering workflows Experience with Snowflake, dbt, Airflow, or similar tools Experience with CI/CD, version control, and engineering best practices Experience with cloud platforms such as AWS, GCP, or Azure Interest in data quality, observability, governance, or access control Experience working in a cross-functional or product-oriented environment Why join us? Opportunity to build trusted data products with real impact across Schibsted Media A role with ownership, learning opportunities, and support from experienced colleagues 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 media products, including premium news and podcasts About you You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value. You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful. When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content. If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.

Vill du ta din expertis inom data engineering till nästa nivå? Brinner du för att skapa värde genom data och AI? Är du en person som trivs med att både bygga tekniska lösningar och skapa starka teamrelationer? Då är det här rollen för dig! HiQ växer inom AI, data och cloud – och vi letar nu efter en Data Engineer som vill vara en nyckelspelare i att både utveckla våra kunders lösningar och driva vår egen AI-affär framåt. Om rollen Vi söker dig som är en driven och passionerad data engineer som vill vara med och bygga och optimera datalösningar som möjliggör effektiv datainsamling, bearbetning och distribution. Hos oss får du chansen att arbeta med moderna teknologier och stora datamängder för att skapa robusta och skalbara system som stöder avancerad analys och affärsbeslut. I rollen ansvarar du för att säkerställa hög teknisk kvalitet i leveranserna och fungera som teknisk expert i projekt, samtidigt som du designar och optimerar datamodeller och dataflöden. Tillsammans med våra team och kunder bygger du de dataplattformar och pipelines som lägger grunden för datadrivna insikter och smartare beslut i hela verksamheten. Vem är du? Vi söker dig som har: * Minst 5 års erfarenhet av data engineering * Erfarenhet av både molnlösningar (AWS, Azure, GCP) och on-premise-miljöer. * Goda kunskaper i Python och starka färdigheter i SQL för att hantera och optimera dataflöden * Erfarenhet av Databricks, Snowflake eller liknande plattformar * Erfarenhet av AI/ML-workflows * Förmåga att designa dataarkitektur och göra tekniska vägval i komplexa miljöer * Erfarenhet av att arbeta med ETL/ELT-verktyg och ramverk  * Civilingenjörsexamen eller motsvarande relevant utbildning * Flytande svenska och engelska i tal och skrift Vi tror att du är en person som älskar att både bygga teknik och skapa värde för kunder. Du gillar att vara rådgivande, dela med dig av din expertis och har en naturlig förmåga att driva projekt framåt. Varför HiQ? Att vara HiQare är både utmanande och omväxlande. Vi är alla konsulter vilket innebär att vi i våra projekt hos kund eller in-house får prova nytt och bli exponerad för nya branscher, arbetsplatser och tech-stacks. Variationen är stor och utvecklingstakten snabb. Hos oss får du bidra och bemästra dina starkaste kompetenser, men även utforska och utveckla nya. Med rätt attityd och kompetens bidrar du med värde både i ditt uppdrag och till dina kollegor på HiQ.    Hos oss hittar du allt från marknadens vassaste utvecklare, testare och hackers, till projektledare, agila coacher och designers. Även om våra kompetenser är många och olika så har vi mycket gemensamt – vi tycker om att driva utveckling, att förbättra och förenkla... och framför allt – att ha kul på vägen!    HiQ är kulturdrivet, inte regelstyrt, och det gör att man kan vara sig själv till 100%. En följd av det är att man som HiQ:are tar sitt jobb seriöst, men inte alltid sig själva :) Det som genomsyrar oss alla är viljan och ambitionen att bidra till att göra världen lite bättre med hjälp av teknik och kommunikationslösningar som förenklar människors liv. På riktigt.  Redo att ta nästa steg? Skicka in din ansökan idag! Hoppas vi hörs!

När elsystemet blir allt mer komplext ökar kraven på hög datakvalitet och robusta systemstöd. I denna roll bidrar du till att utveckla och förvalta strukturerad data och datamodeller som möjliggör tillförlitliga och långsiktiga beslut för att säkerställa ett driftsäkert elsystem. Vill du vara med och stärka Svenska kraftnäts datadrivna arbetssätt, samtidigt som du fördjupar din förståelse för det nordiska kraftsystemet? Här får du möjlighet att göra verklig skillnad i energiomställningen – där rätt data i rätt struktur är avgörande. Om tjänsten Som ingenjör inom data engineering och modellering bidrar du till att säkerställa att verksamhetskritiska data är korrekt, tillgänglig och långsiktigt förvaltningsbar i ett allt mer komplext elsystem. Du arbetar med modellering av kraftsystemmodeller, data management och systemstöd för driftplanering och uppföljning, samt är med och utvecklar teamets förmåga inom strukturerad datahantering. Du möjliggör ökad digitalisering och automation och bidrar till Svenska kraftnäts uppdrag i energiomställningen och utvecklingen av det nordiska kraftsystemet genom att skapa förutsättningar för datadrivenhet. I tjänsten ingår att kunna bygga och underhålla mindre script byggda med Python och C# samt att arbeta med SQL-frågor och datavyer. Dina arbetsuppgifter: Modellera och vidareutveckla kraftsystemmodeller för driftplanering samt säkerställa datakvalitet genom validering och analys med användning av mindre script i C# och Python. Utforma och förvalta rapporter för planering och uppföljning. I detta ingår att bygga databasvyer (SQL) och att arbeta med strukturerade data i JSON och XML-format som resultat från OData-queries till REST API:er. Kravställa systemstöd för nätdrift, inklusive data- och informationsmodellering, test och viss konfiguration. Fungera som en brygga mellan elnät, data och IT genom att översätta verksamhetens behov till robusta tekniska lösningar samt etablera arbetssätt och dokumentation för dataförvaltning. Du blir en del av enheten Nätdriftutveckling på avdelning Drift. Enheten bildades 2025 och ansvarar för att driva utvecklingsarbete för den operativa nätdriften. Här arbetar elva medarbetare med olika roller och kompetenser, bland annat verksamhetsutvecklare, processledare, produktägare och kraftsystemspecialister. Arbetet präglas av nära samarbete, kunskapsutbyte och många kontaktytor mot driftverksamheten och IT-organisationen. Om dig Skallkrav: För att lyckas i rollen är du analytisk och strukturerad med förmåga att se helheter och omsätta komplex information till väl genomtänkta lösningar. Du är nyfiken och har ett intresse för att förstå och utveckla verksamheten över tid. Du trivs i samarbete med andra och bidrar aktivt i gemensamma arbetsprocesser och forum. Samtidigt är du initiativtagande och målmedveten, samt tar ansvar för att driva frågor framåt när du ser behov eller förbättringsmöjligheter. Du ska också leva upp till https://www.statskontoret.se/forvaltningskultur/den-statliga-vardegrunden/ I denna rekrytering lägger vi stor vikt vid dina personliga egenskaper. Du har en civilingenjörs- eller masterexamen från universitet eller högskola inom data/informationsteknologi eller motsvarande utbildning och/eller arbetslivserfarenhet som Svenska kraftnät bedömer likvärdig. Du har även: Arbetslivserfarenhet inom data engineering och/eller data management, exempelvis med frågor om datakvalitet, infrastruktur eller dataanalys. Mycket god förmåga att kommunicera, både skriftligt och muntligt, på svenska och engelska. Meriterande Det är meriterande om du har: Kunskap om elsystemets uppbyggnad, dataflöden och tekniska beroenden. Erfarenhet av arbete med strukturerade data i JSON eller XML format, med Postman, REST API:er och OData eller med MSSQL-databaser. Erfarenhet av att dokumentera processer och strukturerade arbetssätt gällande datamodeller och informationsflöden. Erfarenhet av verksamhetsutveckling och/eller förvaltning av data. Erfarenhet av modellering av tekniska system. Bra att veta Tjänsten är placerad i Sundbyberg. Möjlighet till distansarbete upp till 50 % #LI-hybrid. Resor kan förekomma någon gång per år. Tjänsten är en tillsvidareanställning. Sista ansökningsdag är den 31 augusti 2026. Istället för att bifoga ett personligt brev till din ansökan besvarar du ett antal frågor i ansökningsformuläret. I denna rekryteringsprocess tillämpas tester på slutkandidater. Individuell lönesättning tillämpas och sker i enlighet med de centrala löneavtalen RALS/RALS-T. https://www.svk.se/jobba-har/var-arbetsplats/formaner/ Vid frågor, kontakta gärna följande personer: Vid frågor om tjänsten: Jonas Bergman, rekryterande chef, 010 475 86 86. Vid frågor om rekryteringsprocessen: Linda Mattsson, ansvarig rekryterare, 010 350 91 47. Annika Ingeborn, facklig representant SACO, 010 475 87 72. Erica Midfjäll, facklig representant ST, 010 475 87 31. Under semestertider nås vi via e-post: Förnamn.Efternamn@svk.se, och svarstiden kan under denna period vara längre än vanligt. Vi går igenom ansökningar och återkopplar om du går vidare i processen först efter sista ansökningsdag. https://www.svk.se/jobba-har/ Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt säljare i samband med rekrytering, vi har upphandlade avtal som gäller för Svenska kraftnät som statlig myndighet. Övrig information Vi ställer höga krav på våra medarbetares säkerhets- och sekretess-medvetenhet. Inför anställning genomförs säkerhetsprövning enligt säkerhetsskyddslagen (2018:585) vilket innefattar grundutredning och om anställningen avser befattning i säkerhetsklass kommer säkerhetsprövningen även att innefatta en registerkontroll. För anställning på Svenska kraftnät kan det vara ett krav på svenskt medborgarskap i vissa befattningar. Med anställningen följer en skyldighet att krigsplaceras. För mer information om personalsäkerhet på svenska kraftnät. https://www.svk.se/sakerhet-och-beredskap/sakerhetsskydd/personalsakerhet

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

På Trice vill vi göra skillnad på riktigt och skapa något som håller över tid. Hos de flesta konsultbolag blir du en resurs. Hos oss blir du en problemlösare som faktiskt påverkar. Vi är ett nyfiket och kompetent team som bygger något annorlunda, där teknik möter affär och ledarskap. Just nu växer efterfrågan på data engineering i flera av våra projekt, därför söker vi fler nyfikna problemlösare som vill växa med oss!    Om rollen  Som Data Engineer hos Trice bygger och underhåller du inte bara data pipelines och data-plattformar i molnet, du bidrar med helhetslösningar som löser våra kunders behov av relevant data av hög kvalitet, redo att användas av både människor och AI-system.  Du dyker djupt in i datan, hittar mönster och hjälper användarna att se saker de inte såg förut. Du jobbar nära projektledare, utvecklare och arkitekter för att utveckla våra lösningar, håller dig uppdaterad på ny teknik och nya verktyg och bidrar till att höja den tekniska nivån i projekten.   Om dig  Du har 5 år+ erfarenhet av data engineering och dataanalys, med fokus på att leverera relevanta, högkvalitativa dataprodukter som stöd för både mänskligt beslutsfattande och automatiserade flöden  Du har arbetat med moderna dataplattformar i molnmiljöer (t.ex. data lakehouses, data meshes eller liknande)  Du har god förståelse för både batch- och strömbaserad databehandling  Du har erfarenhet av att klassificera data och hantera åtkomstkontroll och informationssäkerhet  Du är bekväm med att använda AI-assisterade verktyg (t.ex. Cursor, Claude Code, GitHub Copilot) där det är relevant – och att granska kod och arkitektur  Det är meriterande om du har erfarenhet från flera molnplattformar (AWS, GCP, Azure) och verktyg som Snowflake, Databricks och dbt   Flytande svenska och engelska i tal och skrift    Om oss på Trice  Välkommen till ett konsultbolag som kombinerar digital spetskompetens med ett långsiktigt värdeskapande för kunder som också bryr sig om meningsfull utveckling. Vi är ett lyhört och snabbrörligt bolag med ca 12 medarbetare på en rolig expansionsresa. Grundade av erfarna ledare med bakgrund från växande scale-up-företag, är vår mission att driva positiv förändring i stor skala. Vi tar oss an komplexa utmaningar med innovativa lösningar och jobbar för en bättre framtid för organisationer i den digitala eran.    START: Enligt överenskommelse  PLATS: Göteborg   OMFATTNING: Heltid   LÖN: Fast lön   KONTAKT: Senior Recruiter, Mikaela Ehk mikaela.ehk@oddwork.se (för frågor om tjänsten, ej ansökningar)  SISTA ANSÖKNINGSDATUM: Urval sker löpande    Som ledande byrå inom employer branding och rekrytering är vi här för att revolutionera vår bransch, matcha talanger med företagskulturer och stärka organisationers arbetsgivarvarumärken. Nyfiken på att veta mer? Välkommen in i Oddworks värld genom att klicka här eller hitta fler karriärmöjligheter här.

We’re looking for a Senior Data Engineer to join Apadmi and establish a high-performing data engineering capability for one of our key strategic healthcare accounts. In this senior, hands-on role, you will provide technical leadership across a specialist team of engineers working with cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. This is the perfect opportunity for someone technically deep who has the patience, credibility, and leadership skills to embed modern engineering discipline into a growing data function. You will sit at the intersection of technology delivery and data engineering, owning the data platform roadmap and governing the quality of all data outputs. Operating as an agile team leader, you will collaborate closely with operational, clinical, and commercial stakeholders to ensure the delivery of trusted, scalable, and beautifully documented data products. You'll be responsible for bringing software engineering rigour to a team expanding its technical maturity, establishing the right ways of working from the outset. As a Senior Data Engineer, you will define and own the data platform architecture while establishing team-wide standards across source control, environment management, peer reviews, and release processes. You will blend high-level strategy with hands-on automation, ensuring data quality checks are built-in from day one. Additionally, you will guide your squad through Agile sprint ceremonies and line-manage engineers to foster a culture of quality. What you'll be working on * Define and own the technical architecture of the cloud data platform, ingestion pipelines, and semantic reporting layer. * Establish and enforce core engineering standards, including Git-based source control, branching strategies, environment management, and peer code reviews. * Design scalable, maintainable data models and pipeline architectures that shift the function from reactive data handling to reusable data products. * Line-manage and mentor a team of three engineers, supporting their professional development in modern engineering discipline through collaborative working. * Drive the adoption of Agile methodologies, including sprint planning, stand-ups, retrospectives, and structured backlog refinement. * Proactively automate recurring workflows, forecasting processes, and ingestion monitoring to reduce manual effort and increase reliability. * Embed strict data quality checks at the point of ingestion and establish data dictionaries to secure strict metric governance before data reaches external audiences. * Translate complex business requirements into deliverable user stories, providing accurate effort estimates and managing technical dependencies. What you’ll bring to the team You are a solution-driven data leader who has spent time working within or alongside structured software development teams. You understand the rigour of technology delivery functions and possess a low tolerance for ambiguous data definitions. You are highly collaborative, capable of managing complex roadmaps, and excel at translating technical trade-offs into clear insights for non-technical stakeholders. * Proven experience in a senior data engineering or tech lead role with direct line management responsibility. * Strong hands-on experience with cloud data platforms, ideally utilizing Azure Data Factory, Azure SQL, or Synapse Analytics. * Demonstrable experience implementing CI/CD pipelines, automated testing, environment management, and Git practices within a data team. * Deep understanding of fact/dimension design, semantic layers, and advanced BI tool development (ideally Power BI and DAX). * Solid coding or scripting experience (ideally Python) used to automate data workflows and solve complex pipeline challenges. * Track record of introducing and sustaining agile delivery practices, backlog management, and iterative delivery metrics. * Exceptional communication skills to engage credibly with senior operational, clinical, and commercial business leaders. * Experience establishing data functions from a low baseline, familiarity with dbt, or experience working within highly regulated data environments like healthcare would be beneficial.

FEQ327R156 Mission  As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: * Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.   * Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems * Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains * Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks * Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: * 7+ years of hands-on industry ML experience in at least one of the following: * ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. * AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Experience with data engineering, or a good understanding of the concept of data engineering * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through ML & AI * [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About the Role We are looking for a Senior Embedded CI/CD Engineer with a strong background in software integration, continuous deployment, and embedded systems development. You will join a highly skilled engineering team working with software solutions for electrified vehicles. The role focuses on developing and improving CI/CD processes, integrating embedded software components, and enabling efficient software deliveries for complex automotive systems. This is an opportunity for an engineer who enjoys working at the intersection between software development, automation, integration, and future vehicle technologies. Responsibilities As a Senior Embedded CI/CD Engineer, you will be responsible for: Developing and improving software release and continuous deployment processes. Integrating embedded software components at application and BSW (Basic Software) level. Supporting and improving CI/CD pipelines and automation frameworks. Maintaining and developing CI toolchains. Taking ownership of software releases and ensuring high-quality deliveries. Supporting automated integration testing and continuous verification. Working with variant management and configuration handling for different product solutions. Collaborating with software developers, system engineers, and other stakeholders to improve development processes. Your Background We are looking for someone who has a strong passion for embedded software development and complex automotive systems. You have experience working with software integration and automation and enjoy taking technical challenges from concept through implementation and production readiness. You are a proactive and structured engineer who takes ownership, communicates effectively, and enjoys working in a collaborative environment. Required Qualifications Bachelor’s or Master’s degree in: Electrical Engineering Electronics Control Systems Signals & Systems Computer Science Data Engineering Mechatronics Or equivalent field Minimum 4 years of relevant professional experience. Experience working with: CI/CD or DevOps environments Embedded software integration Automated integration testing Software build and release processes Programming experience in one or more of: Python C C++ MATLAB/Simulink Strong understanding of AUTOSAR and related toolchains. Experience working with calibration tools and scripting for automated testing. Ability to work with complex software systems and troubleshoot integration issues. Fluent English communication skills. Meritorious Skills Experience with: Automotive powertrain or electrification systems. Git-based development workflows. Jenkins. Makefiles. Build environments. Software configuration management. Continuous Integration frameworks. European driving license (B). Personal Profile We are looking for someone who is: Passionate about embedded software and vehicle electrification. A natural problem solver who enjoys technical challenges. Quality-focused with strong attention to detail. Comfortable taking ownership and driving improvements. A collaborative team player who contributes to a positive engineering culture. Able to communicate clearly with both technical and non-technical stakeholders. Language Requirements Professional English communication skills are required. Swedish language skills are considered a strong advantage but are not mandatory. Location: Gothenburg, Sweden Start date: According to agreement

Vilka är Predictly?  Predictly är ett konsultbolag som arbetar med allt från molnteknik (Google Cloud, AWS och Azure), data engineering och avancerad analys till fullstackutveckling, integration, AI-lösningar och infrastruktur som kod. Hos Predictly får du arbeta nära seniora kollegor med djup kompetens genom hela systemutvecklingens livscykel och ta del av skräddarsydd kompetensutveckling baserad på dina mål och intresseområden. I kombination med generösa Work/Life-balance-policys och ett modernt kontor på Birger Jarlsgatan i centrala Stockholm erbjuder vi en arbetsmiljö där både människor och teknik får utrymme att växa.  Vad ingår i rollen?  Som Data Engineer på Predictly har du en nyckelroll i att bygga moderna dataplattformar i Google Cloud – från första arkitekturskiss till färdig leverans. Du arbetar nära kunderna och tar ofta helhetsansvar för plattformens tekniska uppsättning, inklusive IAM, datainsamling, strukturering och förädling av data för olika behov.  Du utvecklar och underhåller robusta datapipelines med verktyg som Airflow, och BigQuery blir en central komponent i ditt dagliga arbete. Rollen är bred och kombinerar teknik, arkitektur och problemlösning i en dynamisk miljö där du kontinuerligt utmanas och utvecklas. Predictly samarbetar främst med medelstora kunder, där teamen ofta ansvarar för hela lösningen, något som ger dig stor möjlighet att påverka och skapa verkligt värde.  Vem är du?  För att lyckas i rollen tror vi att du har:  En relevant eftergymnasial utbildning  Minst 2–3 års erfarenhet av Molnplattformar, särskilt inom data engineering  Kunskap inom Data Warehouse och molnbaserade dataplattformar  Erfarenhet av att bygga och underhålla datapipelines  Förmåga att arbeta brett i teknikstacken, från arkitektur till implementation  Goda kunskaper i både svenska och engelska  EU-medborgarskap  Vi tror att du känner dig trygg i utvecklarrollen och är lika självklar framför datorn som i ett modernt kontorslandskap. Du tar gärna ansvar för helheten hos kund och trivs i tvärfunktionella team där du snabbt anpassar dig till nya tekniska utmaningar.  Det är meriterande om du har:  Förståelse för, eller erfarenhet av, DBT (Data Build Tool)  Arbetat genom olika faser av utvecklingsprojekt, från krav till förvaltning  Erfarenhet av agila arbetssätt  Om du läst ända hit är chansen god att du är precis den vi söker. Vi ser fram emot att ta del av din ansökan!  Så här ser rekryteringsprocessen ut  Vi går igenom hur din profil matchar rollen  Passar du in? Då bjuds du in till intervju med oss på Envoke Talent  Eventuellt arbetsprov och sedan intervju med rekryterande chef  Rätt match? Då väntar ett nytt jobb på dig!  Om du inte går vidare i just denna rekrytering behåller vi gärna dina uppgifter för framtida möjligheter som bättre matchar din profil.   Urval sker löpande och tjänsten kan komma att tillsättas innan sista ansökningsdag.

Vilka är Predictly? Predictly är ett konsultbolag med bred specialistkompetens inom digital transformation. Vi arbetar med allt från molnteknik (Google Cloud, AWS och Azure), data engineering och avancerad analys till fullstackutveckling, integration, AI-lösningar och infrastruktur som kod. Våra team består av erfarna och nyfikna specialister som brinner för teknik, innovation och att skapa verkligt affärsvärde. Hos Predictly får du arbeta nära seniora kollegor med djup kompetens genom hela systemutvecklingens livscykel och ta del av skräddarsydd kompetensutveckling baserad på dina mål och intresseområden. I kombination med generösa Work/Life-balance-policys och ett modernt kontor på Birger Jarlsgatan i centrala Stockholm erbjuder vi en arbetsmiljö där både människor och teknik får utrymme att växa. Vad ingår i rollen? Som konsult hos Predictly blir du en central del i moderniserings- och transformationsprojekt med fokus på Google Cloud och andra ledande molnleverantörer. Du arbetar med allt som ingår i dagens moderna IT-plattformar: databasdesign, Java-utveckling, integrationer och containerhantering. I rollen bygger, underhåller och optimerar du system samt deltar i allt från felsökning till driftsättning. Utifrån kundens behov och din erfarenhetsnivå kan du även få möjlighet att kliva in i mer ansvarstagande roller, exempelvis Lead Developer eller arkitekt. Vem är du? För att lyckas i rollen tror vi att du har: En relevant eftergymnasial utbildning Minst 3 års erfarenhet av systemutveckling i Java Erfarenhet av Google Cloud eller någon annan molnleverantör. Erfarenhet av containers och containerorkestrering i exempelvis Kubernetes. Goda kunskaper i svenska och engelska EU-medborgarskap Vi tror dessutom att du är trygg i utvecklarrollen och trivs i en dynamisk miljö där du får växla mellan fokusarbete och samarbete. Du är nyfiken på att utöka din verktygslåda och ser det som en fördel att få arbeta med tekniker som Spring Boot, Docker, Kubernetes, Google Cloud och Terraform. Det är meriterande om du har: Mer än 5 års erfarenhet av systemutveckling Arbetat genom flera faser av utvecklingsprojekt, från kravhantering och nyutveckling till förvaltning Erfarenhet av agila arbetssätt Har du tagit dig hela vägen hit? Då är chansen stor att du är precis den vi söker. Vi ser fram emot din ansökan! Så här ser rekryteringsprocessen ut Vi går igenom hur din profil matchar rollen Passar du in? Då bjuds du in till intervju med oss på Envoke Talent Eventuellt arbetsprov och sedan intervju med rekryterande chef Rätt match? Då väntar ett nytt jobb på dig! Om du inte går vidare i just denna rekrytering behåller vi gärna dina uppgifter för framtida möjligheter som bättre matchar din profil.  Urval sker löpande och tjänsten kan komma att tillsättas innan sista ansökningsdag.

Vilka är Predictly? Predictly är ett konsultbolag med bred specialistkompetens inom digital transformation. Vi arbetar med allt från molnteknik (Google Cloud, AWS och Azure), data engineering och avancerad analys till fullstackutveckling, integration, AI-lösningar och infrastruktur som kod. Våra team består av erfarna och nyfikna specialister som brinner för teknik, innovation och att skapa verkligt affärsvärde. Hos Predictly får du arbeta nära seniora kollegor med djup kompetens genom hela systemutvecklingens livscykel och ta del av skräddarsydd kompetensutveckling baserad på dina mål och intresseområden. I kombination med generösa Work/Life-balance-policys och ett modernt kontor på Birger Jarlsgatan i centrala Stockholm erbjuder vi en arbetsmiljö där både människor och teknik får utrymme att växa. Vad ingår i rollen? Som Cloud Engineer hos Predictly är du med och bygger, migrerar och vidareutvecklar moderna och skalbara molnlösningar. Du arbetar brett – från IAM, nätverk och säkerhet till övervakning, CI/CD, containerhantering och orkestrering med Kubernetes (exempelvis GKE). Du skapar stabila pipelines i GitLab eller GitHub, använder verktyg som ArgoCD för deployment och jobbar kontinuerligt med automation och infrastruktur som kod. Beroende på erfarenhet får du även möjlighet att axla ansvarsfulla roller, exempelvis Lead Engineer eller Cloud Architect, och vara drivande i arkitektur- och teknikbeslut hos kund. Vem är du? För att lyckas i rollen tror vi att du har: En relevant eftergymnasial utbildning Minst 3 års erfarenhet av arbete med GCP, AWS eller Azure God förståelse för molnarkitektur, nätverk, säkerhet och IAM Praktisk erfarenhet av Kubernetes, gärna i GKE Kunskap om CI/CD och erfarenhet av pipelines i GitLab CI/CD eller GitHub Actions Erfarenhet av containerhantering och deploymentverktyg som ArgoCD Praktisk erfarenhet av Terraform Goda kunskaper i svenska och engelska EU-medborgarskap Vi tror dessutom att du är trygg i rollen, trivs i moderna arbetsmiljöer och är van vid att arbeta både självständigt och i team. Du är nyfiken, ansvarstagande och gillar att lösa komplexa tekniska utmaningar. Det är meriterande om du har: Erfarenhet från flera molnplattformsprojekt; från krav till ny- och vidareutveckling. Vana att arbeta enligt agila metoder Har du tagit dig hela vägen hit? Då är chansen stor att du är precis den vi letar efter. Vi ser fram emot din ansökan! Så här ser rekryteringsprocessen ut Vi går igenom hur din profil matchar rollen Passar du in? Då bjuds du in till intervju med oss på Envoke Talent Eventuellt arbetsprov och sedan intervju med rekryterande chef Rätt match? Då väntar ett nytt jobb på dig! Om du inte går vidare i just denna rekrytering behåller vi gärna dina uppgifter för framtida möjligheter som bättre matchar din profil.  Urval sker löpande och tjänsten kan komma att tillsättas innan sista ansökningsdag.

The Data Engineer role exists to ensure that all test‑lab data is trustworthy, accessible, scalable, and usable for engineering, validation, analytics, and decision‑making. The function provides the technical backbone that enables reliable testing, advanced analysis, automation, and long‑term product improvement. The Data Engineer is responsible for designing and operating the data infrastructure that supports all laboratory test activities. This includes connecting test equipment, building pipelines for high‑frequency and large‑volume datasets, ensuring data quality, and enabling engineers, analysts, and scientists to work efficiently with accurate data. As the laboratory and organization expand, the role will evolve into a leadership function that guides the long‑term data strategy and leads a multidisciplinary data team. Key Responsibilities Key responsibilities include (but are not limited to) Design, build, and maintain data pipelines for high‑frequency lab data Integrate test equipment such as battery cyclers (Chroma, Keysight, PEC, PNE), chambers, DAQ systems, and PLCs Develop ETL/ELT processes to transform raw → validated → curated datasets Build scalable data storage solutions (data lakes, time-series DBs, structured metadata stores) Implement data validation, anomaly detection, and quality monitoring Automate data processing for reporting, dashboards, and analysis Ensure data traceability, version control, and audit compliance Work closely with test and validation engineers to understand test profiles, metadata, and measurement methods Support lab technicians with tools that simplify workflows and reduce manual data tasks Integrate with MES, LIMS, PLM, and other enterprise systems Troubleshoot data-related issues in test execution or equipment communication Take increasing ownership of data architecture and long‑term data roadmap Contribute to documentation standards, data governance, and best practices Requirements Qualifications and Experience Engineering in technical data role (Data Engineering, Data Science, Machine Learning) including processing, storage, quality, and management on GCP or AWS +4 years of relevant experience Project management experience Experience in large manufacturing or industrial enterprises with heterogeneous, distributed data sources, demonstrating ability to navigate complexity at scale Specific skills & Knowledge Proven experience scaling and re‑architecting data platforms and infrastructure to handle rapid growth and increasing data volumes Hands-on experience designing and building highly scalable and reliable data architectures using modern cloud and data tooling (e.g., AWS Kinesis, Lambda, Redshift, GCP equivalents; Airflow, dbt; Parquet, Protobuf, Avro) Strong programming skills in Python, SQL, and general-purpose scripting for automation, data processing, and integration Deep understanding of ETL/ELT frameworks (Airflow, dbt, Spark, etc.) and experience building production-grade data pipelines Familiarity with time-series and high‑frequency measurement data, particularly from industrial or test environments Cloud engineering experience in AWS, GCP, or Azure, including serverless architectures, distributed storage, and stream processing Experience with CI/CD, Git-based workflows, Docker, and robust software engineering practices Knowledge of data serialization formats (Parquet, Avro, Protobuf, JSON) and best practices for efficient storage and retrieval Experience integrating systems via APIs; familiarity with hardware communication protocols such as REST, OPC-UA, and Modbus is a strong plus Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets Domain knowledge (Preferred) Solid engineering foundation (electrical, mechanical, chemical, physical), preferably within the energy, electrical testing, or battery domain Understanding of sensor calibration, noise, drift, and data validation