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

What will you do? As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions. This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives. If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk. Areas of ownership: Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform Integrate data from a wide range of business and product systems Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools Develop robust monitoring, alerting, and observability practices to ensure platform reliability Troubleshoot, optimize, and continuously improve data workflows and platform performance Design and implement scalable ELT workflows using modern data engineering practices Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting Implement automated testing and quality controls throughout the data lifecycle Ensure data is accurate, accessible, and trusted across the organization Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions Help translate complex business challenges into scalable data products and datasets Support decision-making by making data easier to discover, understand, and use Evaluate emerging technologies, frameworks, and industry best practices Run proof-of-concepts and contribute to strategic technology decisions Help define the future architecture of Rebtel's data platform Continuously improve engineering standards, tooling, and developer experience Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 3+ years of experience in Data Engineering or a similar role Strong SQL skills and experience building production-grade data pipelines Experience with modern ELT methodologies and data warehousing concepts Experience integrating data from multiple systems and sources Experience with dbt, Python, AWS, or similar cloud-based data platforms Strong understanding of data modeling and analytics engineering best practices Ability to operate independently and take ownership of technical solutions Experience working in fast-growing technology or digital product companies is a plus It's a bonus if you've been exposured to customer analytics, marketing analytics, experimentation, or machine learning workflows Experience with BI tools such as Looker, Tableau, or Power BI is a plus It's a plus with a degree in Computer Science, Engineering, Mathematics, or a related field Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.   We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Stockholm office – are you ready to hit play on an exciting career change?  The role  The Ad Platform Solutions team sits within Viaplay Digital Ad Product, bridging commercial priorities and technical delivery in Viaplay. You will be joining a small, growing team where your work connects directly to how the sales organisation operates every day. As our new Data Engineer, you will play a central role in developing and improving the data infrastructure that powers ad sales across all Viaplay markets. We’ve built a solid foundation that supports our operations today, and we’re now looking for someone to take ownership of it - improving and strengthening what’s already in place, while also influencing architecture and shaping how the platform evolves. This is a hands-on engineering role. In a small team, you will work across the full data lifecycle - from pipeline development and orchestration to data modelling, ensuring the right data reaches the right people. Your day-to-day will include: • Building and maintaining data pipelines that power ad sales reporting and operations across Sweden, Norway, and Denmark • Structuring and modelling data so it is clean, consistent, and genuinely useful to the business • Identifying and resolving issues in existing pipelines, reducing manual work and improving reliability • Translating needs from stakeholders into solid technical solutions • Contributing to architectural decisions as the platform evolves We actively use AI-assisted tools as part of our development workflow to improve efficiency and speed up delivery. We expect engineers to use these tools effectively, while critically evaluating outputs and maintaining full ownership of the systems they build. What we’re looking for  We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:  • Solid, production-level data engineering experience - you have done this before and know what good looks like • Strong skills in Python and/or C#, with confident SQL and hands-on database experience, relational databases such as SQL Server and PostgreSQL. • Experience working with cloud-based data platforms, particularly in Azure environments. • Experience building and maintaining data pipelines using orchestration tools (such as Airflow or Meltano), along with a solid understanding of data warehouse principles (e.g. dimensional modelling, data quality, and performance optimisation) • Experience using AI-assisted coding tools (e.g. GitHub Copilot, Claude) in a development workflow • Comfortable working autonomously in a small team, with a strong sense of ownership and the ability to drive work forward without much hand-holding It’s a bonus if you have:  • Experience with ad sales, digital advertising data, or media industry systems • A can-do attitude, sense of humor and the ability to work humbly with others. What we offer you We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift. Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance. A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development. Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including series & viewing events, new release movie rentals, linear channels and more. Hit play today  If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.  Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.  Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.   We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Stockholm office – are you ready to hit play on an exciting career change?  The role  The Ad Platform Solutions team sits within Viaplay Digital Ad Product, bridging commercial priorities and technical delivery in Viaplay. You will be joining a small, growing team where your work connects directly to how the sales organisation operates every day. As our new Data Engineer, you will play a central role in developing and improving the data infrastructure that powers ad sales across all Viaplay markets. We’ve built a solid foundation that supports our operations today, and we’re now looking for someone to take ownership of it - improving and strengthening what’s already in place, while also influencing architecture and shaping how the platform evolves. This is a hands-on engineering role. In a small team, you will work across the full data lifecycle - from pipeline development and orchestration to data modelling, ensuring the right data reaches the right people. Your day-to-day will include: • Building and maintaining data pipelines that power ad sales reporting and operations across Sweden, Norway, and Denmark • Structuring and modelling data so it is clean, consistent, and genuinely useful to the business • Identifying and resolving issues in existing pipelines, reducing manual work and improving reliability • Translating needs from stakeholders into solid technical solutions • Contributing to architectural decisions as the platform evolves We actively use AI-assisted tools as part of our development workflow to improve efficiency and speed up delivery. We expect engineers to use these tools effectively, while critically evaluating outputs and maintaining full ownership of the systems they build. What we’re looking for  We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:  • Solid, production-level data engineering experience - you have done this before and know what good looks like • Strong skills in Python and/or C#, with confident SQL and hands-on database experience, relational databases such as SQL Server and PostgreSQL. • Experience working with cloud-based data platforms, particularly in Azure environments. • Experience building and maintaining data pipelines using orchestration tools (such as Airflow or Meltano), along with a solid understanding of data warehouse principles (e.g. dimensional modelling, data quality, and performance optimisation) • Experience using AI-assisted coding tools (e.g. GitHub Copilot, Claude) in a development workflow • Comfortable working autonomously in a small team, with a strong sense of ownership and the ability to drive work forward without much hand-holding It’s a bonus if you have:  • Experience with ad sales, digital advertising data, or media industry systems • A can-do attitude, sense of humor and the ability to work humbly with others. What we offer you We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift. Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance. A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development. Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including series & viewing events, new release movie rentals, linear channels and more. Hit play today  If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.  Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.

Brinner du för att förstå mekanismerna bakom finansiella instrument samtidigt som du har en naturlig fallenhet för hur data struktureras, flödar och kontrolleras? Swedbank befinner sig i en spännande expansionsfas där de nu stärker upp deras domäner för Capital Markets och finansiella instrument. Vi söker dig som vill kombinera din analytiska skärpa från studier inom exempelvis finansiell matematik eller teknisk fysik med ett genuint intresse för data management. Om tjänsten Du kommer att tillhöra teamet Market Data, en del av Capital Optimisation, där de arbetar nära trading och riskhantering för att stärka bankens datafundament. Som Data Steward får du en nyckelroll i att strukturera och styra teamets finansiella data för att möjliggöra bättre beslutsfattande och automatisering i hela banken. Du kommer att ingå i ett team på 5 personer och en konsult som ansvarar för serviceägarskap av plattformar och data-feeds. Du erbjuds Hos Swedbank får du uppleva personlig och professionell tillväxt genom självledarskap och kontinuerlig utveckling. Swedbank erbjuder ett meningsfullt arbete i en öppen och samarbetsvillig kultur som uppmuntrar lagarbete. En visstidsanställning via Academic Work med en fast månadslön. Goda möjligheter för att bli överrekryterad till Swedbank finns för rätt personer! Arbetsuppgifter Rollen som Domain Data Steward innebär att du strukturerar och förvaltar kritisk data inom finansiella instrument för att möjliggöra bättre beslutsfattande och effektivitet i banken. Definiera och underhålla datadefinitioner och styrning för kritiska dataelement. Analysera och dokumentera dataflöden (lineage) i system som stöttar prissättning, risk och PnL. Fastställa och implementera datakvalitetsregler tillsammans med affären och systemägare. Samarbeta med Trading, Kvant-team, Finance, Risk och IT för att öka transparensen. Initiera arbete med stora och komplexa domäner för finansiella instrument, valutor och derivat. Bidra till implementeringen av dataprodukter som möjliggör avancerad analys och automatisering. Vi söker dig som Universitetsexamen inom finans, data science, datavetenskap eller ekonomi. Grundläggande förståelse för datastyrning och datahantering. God förståelse för finansiella instrument såsom obligationer, aktier, valutor och derivat. Stark analytisk förmåga och intresse för komplexa datastrukturer. Förmåga att kommunicera obehindrat på svenska och engelska. God kunskap i SQL, dataanalys och datamodellering. Det är meriterande om du har Kurser inom finansiell matematik. Erfarenhet av att arbeta med datastyrning eller datakvalitetskrav. Kunskap om plattformar som Databricks, Snowflake eller specifika tradingsystem som Calypso. För att lyckas i rollen har du följande personliga egenskaper: Förändringsbenägen Målmedveten Social Ordningsam Ansvarstagande Intellektuellt nyfiken Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.

Har du ett agilt mindset, ett brinnande intresse för data och analys, och är nyfiken på AI och dess möjligheter? Då kan detta vara ditt nästa steg! Spendrups söker nu en Data Engineer till sitt team i Stockholm, en roll där du får arbeta med hela kedjan, från rådata till färdig modell, och vara med på en spännande transformationsresa. Om tjänsten Spendrups är ett riktigt familjeföretag i fjärde generationen, där flera familjemedlemmar är aktiva i verksamhetens hjärta. Med cirka 1100 medarbetare på bryggerier i Grängesberg, Hällefors och Visby, samt kontor och terminaler runt om i Sverige, är Spendrups en av landets ledande dryckesproducenter. Här bryggs öl i världsklass – men även läsk, mineralvatten och mycket mer. Som Data Engineer hos Spendrups blir du en nyckelspelare i ett mindre, tvärfunktionellt team där du arbetar nära både tekniker och verksamhetsrepresentanter, vilket ställer krav på din kommunikativa sida och din affärsförståelse. Du är med och bygger upp en modern dataplattform i Microsoft Fabric och arbetar iterativt med fokus på snabba, värdeskapande leveranser. Detta är ett konsultuppdrag vilket innebär att du blir anställd hos Academic Work och arbetar som konsult hos Spendrups. Uppdraget är långsiktigt och ambitionen är att det ska övergå i en anställning hos Spendrups efter 6-12 månader. Du erbjuds Att jobba i en fantastisk företagskultur med härliga kollegor och god stämning På Spendrups präglas kulturen av öppenhet, och dina idéer värdesätts. Här får du chansen att inte bara lösa problem utan också aktivt bidra till att förbättra och utveckla IT-supporten Arbetsuppgifter En typisk arbetsvecka kan innehålla allt från att bygga nya pipelines till att optimera befintliga modeller i dbt. Du ansvarar för att säkerställa hög kvalitet genom testning, dokumentation och kodgranskning, och du är med och driver förbättringar i både teknik och processer Utveckla och vidareutveckla moderna dataintegrationsflöden i Microsoft Fabric som möjliggör snabb och tillförlitlig tillgång till data Bygga och förvalta robusta datamodeller i dbt, med fokus på struktur, kvalitet och återanvändbarhet Aktivt bidra till Spendrups AI‑resa genom att möjliggöra tillgång till välstrukturerad data och omsätta tidigare erfarenheter inom AI och data till konkreta lösningar som driver affärsnytta Arbeta nära verksamheten för att förstå behov och omvandla dem till skalbara och hållbara datalösningar som skapar affärsvärde Säkerställa hög datakvalitet, spårbarhet och prestanda i Spendrups lösningar – från rådata till färdig analys Bidra till att utveckla Spendrups arbetssätt, tekniska val och den fortsatta utvecklingen av dataplattformen Vi söker dig som Minst 3 års erfarenhet som Data Engineer, Data Scientist eller i en liknande teknisk roll Goda kunskaper i Azure, SQL, DBT, Apache spark och Apache airflow Erfarenhet av datamodellering och att bygga och underhålla ETL/ELT-processer i molnmiljöer Vana att arbeta med Git och CI/CD för versionshantering och automatisering Har praktisk erfarenhet av att arbeta med AI, både för att effektivisera ditt eget utvecklingsarbete och för att bygga lösningar där AI skapar konkret affärsnytta En nyfiken, självgående och lösningsorienterad inställning God samarbetsförmåga och vilja att bidra till teamets gemensamma utveckling Flytande svenska i både tal och skrift. Det är meriterande om du har Erfarenhet kring AI och maskininlärning, särskilt kopplat till datadrivna beslut Kunskap om eventbaserade lösningsmönster, exempelvis med tekniker som Apache Kafka Erfarenhet från mindre team eller startupmiljöer där man ofta kombinerar strategi med praktiskt genomförande För att lyckas i rollen har du följande personliga egenskaper: Hjälpsam Social Ansvarstagande Intellektuellt nyfiken Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.

We're looking for a Integration Engineer (Overall 8–12 years) ready to take on challenges in data engineering, cloud, and AI. 💡 Working with us means being part of a creative, ambitious team that thrives on solving complex data problems and shaping the future of digital transformation. Role Description The position is hybrid, based in Stockholm, with some work from home acceptable. The Senior Developer will be responsible for designing, developing, and maintaining ETL processes, leveraging ETL tools and data integration techniques. The role involves complex data modeling, the analysis of data sets, and ensuring the accuracy and quality of data throughout the project's lifecycle. Key Responsibilities: Develop and maintain data integration processes using any of the ETL tools. Design and implement ETL (Extract, Transform, Load) workflows and processes. Work on complex data transformations, validations, and processing logic. Collaborate with business analysts and data architects to gather requirements and deliver data solutions. Monitor and optimize Ab Initio jobs and workflows to ensure maximum performance. Troubleshoot and resolve issues related to Ab Initio jobs, data processing, and performance. Perform unit testing, integration testing, and performance tuning of ETL processes. Document technical designs, code, and workflows. Work with large datasets and ensure that the solutions scale efficiently. Adhere to industry best practices in data management and software development. Required Skills and Qualifications: Proficiency in ETL processes and data integration techniques. Strong experience with Ab Initio software suite, including the development of Graphs, Plans, and DML (Data Manipulation Language). Good Experience with Databricks and Azure Cloud services. Experience with Unix/Linux operating systems and shell scripting. Solid understanding of SQL, including writing complex queries and optimizing database performance. Experience with data modeling and data warehousing concepts. Ability to work with large-scale data processing, including performance tuning of data pipelines. Familiarity with version control systems such as Git or SVN. Strong problem-solving and troubleshooting skills. Ability to work effectively in a collaborative team environment. Preferred Skills: Experience with other ETL tools such as Informatica, Talend, or DataStage. Ab Initio is primary. Knowledge of cloud platforms (e.g., AWS, Azure) and integrating Ab Initio with cloud data solutions. Experience with Agile methodologies and working in Agile development teams. Education and Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. 4+ Years of experience in ETL development and larger data integration experience. Additional certifications related to Ab Initio or data engineering are a plus. If you are interested and have relevant skills please apply through this job post or contact us through the following email ID : [email protected] Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

At the Vitrolife Group, we work every day to unlock the full potential of science and technology to reduce the barriers towards building a family. Together we help our customers and their patients to fulfill the dream of having a baby. Shape the Platform, Enable Domains, Build for Scale We are looking for a Senior Data Engineer to join our Group Analytics enabling team. This is a key role in establishing and evolving our global data platform, with Microsoft Fabric and the Azure ecosystem as the primary technology direction. You will combine hands-on data engineering with architectural responsibility, helping us build scalable, governed, and automated data platform capabilities. The role is central to our ambition to move from fragmented and manually maintained legacy solutions toward a modern, domain-oriented data platform that enables trusted analytics, self service, and future AI/ML use cases. This is an opportunity for someone who enjoys building for scale, setting technical direction, and enabling others through strong engineering standards, reusable patterns, and practical guidance. Your Mission As a Senior Data Engineer, you will help design, build, and mature our global data platform. You will work with Microsoft Fabric, lakehouse and medallion architecture, reusable data pipelines, analytical data models, and modern engineering practices. You will play an important role in enabling a federated, data mesh-inspired operating model, where domain teams can own and evolve their data products within clear technical and governance guardrails. Depending on your profile, you may also take architectural responsibility for selected platform capabilities, patterns, and technical decisions. Experience from other modern lakehouse platforms, such as Databricks, Spark, or PySpark, is highly relevant where it strengthens your ability to design scalable and automated data solutions. What You’ll Do • Help design, build, and evolve our Microsoft Fabric-based global data platform, including scalable pipelines, lakehouse patterns, and analytical data models. • Develop reusable engineering standards, templates, and governed data objects that enable domain teams to build and manage data products. • Apply modern engineering practices such as Git, CI/CD, monitoring, documentation, testing, and infrastructure-as-code principles such as Terraform. • Embed security, access control, GDPR/PII handling, lineage, and metadata requirements into platform delivery. • Work closely with enterprise architects, data engineers, data analysts, data scientists, business stakeholders, and domain teams. • Mentor colleagues and support the modernization and deprecation of legacy BI/DW solutions. What You Bring • Senior-level data engineering experience with strong hands-on delivery, architectural understanding, and ability to design scalable platform solutions. • Strong SQL and Python skills, with Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake. • Experience with production-grade data pipelines, medallion/lakehouse architecture, analytical data modeling, and domain-oriented data design. • Experience with modern engineering practices such as Git, CI/CD, DevOps, monitoring, and preferably infrastructure-as-code principles such as Terraform. • Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling. • Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions. Why Join Us? You will be part of shaping the foundation for how data is managed, governed, and used across the organization. This is a chance to help build the platform many data engineers wish they could build from the start: scalable, secure, automated, metadata-driven, and designed for future AI and agent-enabled ways of working. You will influence platform architecture, establish reusable engineering patterns, and help domain teams become more self-sufficient with data. The role contributes directly to the shift from fragmented legacy solutions toward a trusted global data platform for analytics, self-service, and future AI/ML capabilities. You will join an enabling analytics team with a clear ambition: to make data more accessible, reusable, and reliable across the business. Please note that this role is based in Valencia or Gothenburg. Applications will be reviewed on an ongoing basis, so please submit your application as soon as possible. Vitrolife Group is a global provider of medical devices and genetic services. Based on science and advanced research capabilities, we develop services and products for personalized genetic information and medical device products. We support our customers by improving their clinical practice for the patient's outcome of fertility treatment. We are currently approximately 1 100 colleagues worldwide, with headquarters in Gothenburg, Sweden. Vitrolife Group's products and services are available in more than 110 countries through our own presence in 30 countries and a network of distributors. Vitrolife Group is a sustainable market leader and aims to be the preferred partner for IVF-clinics by providing superior products and services with the vision of fulfilling the dream of having a baby. The Vitrolife share is listed on Nasdaq Stockholm.

Är du en Data Engineer som vill mer än bara leverera projekt? Vår kund bygger inte bara dataplattformar. De bygger ett bolag där skickliga konsulter får möjlighet att påverka, utvecklas och ta del av värdeskapandet. De är ett specialistbolag inom Data Analytics med stark tillväxt, stabil lönsamhet och en tydlig plan framåt. Sedan start har de vuxit till ett team av seniora konsulter som hjälper några av Sveriges mest spännande företag att utveckla moderna dataplattformar, AI-lösningar och avancerade analysförmågor. Nu söker de fler Data Engineers som vill vara med på nästa resa. Om tjänsten: Som Data Engineer arbetar du nära kunder med att designa, bygga och vidareutveckla moderna dataplattformar. Du fångar verksamhetens behov, omsätter dem till tekniska lösningar och använder moderna verktyg och AI-stöd för att leverera högkvalitativa lösningar. Uppdragen varierar från 6 månader till flera år och genomförs både självständigt och i team. Bland deras kunder finns aktörer inom bland annat bank, finans, försäkring och större svenska företag med omfattande behov inom data och analys. Du kan exempelvis arbeta med: Design och implementation av dataplattformar ETL- och ELT-flöden Datamodellering och informationsarkitektur Cloud-native lösningar Automatisering och DevOps för data AI-drivna datalösningar Modernisering av befintliga analysplattformar Tekniker som ofta används: Dataplattformar Azure, Microsoft Fabric, Snowflake, Databricks, AWS, GCP Programmering SQL, Python, Scala, Java Data Engineering DBT, Airflow, Azure Data Factory, Kafka, Spark DevOps GitHub Actions, Azure DevOps, CI/CD Dataarkitektur Data Lake, Lakehouse, Medallion Architecture, Data Vault, Data Mesh Vi söker dig som:Har relevant högskole- eller civilingenjörsexamen Har minst 4 års arbetserfarenhet som data engineer Har erfarenhet av moderna dataplattformar i molnet Har arbetat med exempelvis Azure, Snowflake eller Databricks Har goda kunskaper i SQL och Python Har erfarenhet av ETL/ELT, datamodellering och pipelineutveckling Erfarenhet av Git, CI/CD och moderna utvecklingsmetoder Talar och skriver flytande svenska och engelska, då båda språken nyttjas i det dagliga arbetet Det viktigaste är dock inte exakt vilka verktyg du använt – utan att du har byggt lösningar på riktigt och förstår hur data skapar affärsvärde. Vi tror att du är en person som trivs i konsultrollen och känner dig bekväm i dialogen med både kunder, verksamhet och tekniska team. Du har lätt för att bygga förtroende, kommunicera komplexa frågor på ett enkelt sätt och representerar alltid din arbetsgivare på ett professionellt sätt. Samtidigt drivs du av att lösa problem och tycker om att ta dig an komplexa utmaningar där du behöver analysera, förstå och hitta smarta lösningar. Du är nyfiken av naturen och håller dig uppdaterad kring utvecklingen inom data, molnteknik och AI. Kanske är du en av dem som gärna testar nya verktyg, bygger egna projekt eller utforskar ny teknik även utanför arbetstid. Framför allt tror vi att du har ett genuint intresse för teknik och en vilja att ständigt utvecklas tillsammans med kunder, kollegor och den snabbt föränderliga marknaden. Om kundföretaget: Vår kund är ett specialistkonsultbolag inom Data Engineering och AI med tydlig tillväxtplan. Under de kommande åren ska de fortsätta växa tillsammans med sina kunder och bygga ett av Sveriges mest uppskattade specialistbolag inom data och analys. De arbetar med moderna tekniker, seniora konsulter och kunder med stora behov inom dataplattformar och AI-transformation. Hos dem får du en senior och hjälpsam miljö med hög trivsel, möjlighet till hybridarbete, marknadsmässig lön samt bonusmodeller och möjlighet till delägarskap i deras dotterbolag. Stort fokus läggs även på kompetensutveckling och kunskapsdagar - de tror på långsiktighet, entreprenörskap och att duktiga människor vill vara med och påverka på riktigt. Om anställningen: Detta är en rekrytering där du kommer bli anställd direkt hos kundföretaget. Friday ansvarar för rekryteringsprocessen och alla frågor hänvisas till Friday. Övrig info:Omfattning: Heltid Start: Enligt överenskommelse Placering: Stockholm Rekryteringsansvarig: Alice Tegebro, [email protected] Lön: Fast månadslön samt bonusmodeller Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängs ner innan tjänsten är tillsatt om vi gått över till urvals och intervjufasen. Vi tar inte emot ansökningar via mail. Om Friday: På Friday hjälper vi Tech-talanger att hitta roller där de trivs, utvecklas och gör skillnad. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över  5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

This recruitment is conducted by Forefront Amplify on behalf of Verisure. Verisure is a global leader in professionally monitored security solutions, protecting over five million customers across 17 countries. We combine the drive of a startup with the scale of a global company - fast-paced, high-performing, and deeply value-driven. Now we’re looking for a BI Developer who wants to play a key role and be the bridge between data and decision-making. Ready to turn data into insights that truly make a difference? The Role As a BI Developer, you’ll be part of a dynamic, collaborative team where you work closely with stakeholders across both tech and business. You’ll transform complex, real-time data into actionable insights that support innovation, product development and strategic decision-making within the organization - ultimately helping to protect homes and save lives. Your main focus will be on SQL, PowerBI and our modern data platform (Snowflake, Azure). Your work will include designing data models and pipelines, building powerful dashboards and ensuring data quality across multiple sources. You will be responsible for: Working extensively with databases and advanced SQL to ensure high data quality, availability and performance across multiple data sources. Developing impactful dashboards and reports in Microsoft Power BI. Designing and maintaining scalable data models and BI solutions within a modern Azure/Snowflake-based data platform. Collaborating closely with business stakeholders to understand needs and turn them into data-driven solutions. We are looking for experience with: Strong SQL and database knowledge. Power BI and experience working with BI/data platforms and data modeling. Curiosity and eagerness to develop further within BI and cloud platforms, ideally Azure and Snowflake. A collaborative mindset and the desire to contribute to a culture of teamwork and growth. Support to Succeed We know stepping into a fast-paced role with big responsibilities can feel overwhelming. Through Forefront Amplify, you’ll receive mentorship in your daily work and professional development, training to strengthen your technical expertise, and coaching to build both confidence and skills. About Verisure Verisure offers industry-leading security solutions that protect homes and save lives. Our unique business model integrates product development, installation, service, and 24/7 professional monitoring – all under one roof. That means fast decisions, real impact, and plenty of opportunities for tech talent to thrive. Today, we’re over 25,000 colleagues across Europe and South America – and growing rapidly. The Process Forefront Amplify is leading this recruitment process. We work closely with Verisure and strive to build diverse, high-performing teams. If this sounds like your kind of challenge - we’d love to hear from you.