Data Warehouse specialist

Assignment description Our client is seeking a Lead Data Engineer Strong consultant that can take the role as first Lead Data Engineer within BI/DWH modernization project. Must be able to pre-form early in the project and contribute both in discovery/analysis and in the first implementation. Important that consultant is not only a developer but have strong competence to understand complex data warehouse, analyze dependencies and contribute and form the modernization of the legacy flow. Most important is the combination of SQL Server/SSIS-legacy, datamodellering and practical modernisation towards Fabric/Databricks/Snowflake/Azure.  Required Experience Senior Data Engineer  Very strong SQL-competens, especially SQL Server and T-SQL Documented experience of SSIS och traditional Microsoft DWH-/BI-environments Experience of analysing ETL-flows, stored procedures, views, tables and dependencies Experience of modernization or migration from legacy DWH cloud-based data platform Experience of at least one of: Microsoft Fabric, Azure Synapse, Databricks or Snowflake  Good understanding of Kimball, Data Vault, star schema and data marts Experience of CI/CD, Git and structured development flows Used to document technical solutions, data flows, mappings and designer decisions Ability to work close to Architect, BI Developer, Business experts and other Data Engineers. Contribute both in analyse/discovery and hands-on implementation Lead more junior Data Engineers  Meritorious - Experience of: Dbt, SSAS/SSRS/Power BI, Purview, Unity Catalog, DataHub, experience from retail, supply chain, finance, HR or similar domains

Ready to build something from the ground up? Join Cibes Lift Group and shape how a global company works with data. As our first Data Engineer, you'll create the foundation for data and AI - turning complexity into clarity and ideas into real business value. In a collaborative environment, your work will matter from day one. About Cibes Lift Group Cibes Lift Group is a global leader in low-rise lifts, with operations in Europe, North America, and Asia. We combine global reach with local expertise and continue to grow through innovation, strong partnerships, and a clear focus on quality and customer value. At Cibes Lift Group, we are on an exciting journey. As a global leader in low-rise lifts, we are now building our Data & Analytics capability from the ground up, and we are looking for the very first Data Engineer to make it happen. This is a unique opportunity to step into a role where you won't just improve something that already exists, you'll create the foundation that everything else will be built on. If you're someone who enjoys taking ownership, shaping direction, and turning ideas into reality, this role gives you exactly that. Location: You can work from the office or remotely. Our headquarters are located in Gävle, Sweden. Other possible base locations in Europe include Germany (Berlin), the United Kingdom (Leicester), Norway (Bergen), Finland (Turku), and Spain (Madrid). The role includes occasional international travel. What you will do As our Data Engineer, you will play a key role in shaping how we work with data across the entire company. You'll work closely with the Domain Manager and Global IT Director to turn today's fragmented data landscape into something structured, scalable, and trusted. You will: - Build the data foundation on Microsoft Fabric, pipelines, data models, and core data layers that bring data into one place - Turn raw and scattered data into something reliable, structured, and ready to use - Define practical standards for data quality, access, and governance, simple at first, scalable over time - Enable analytics and AI by making sure the right data is available in tools like Power BI and beyond - Document what you build and help shape how a future Data & Analytics team will work In short: you'll go from a blank page to a real, working foundation that the entire business can rely on. Who you are We believe you are someone who enjoys building, improving, and making things work in practice - not just on paper. You likely have: - Experience as a Data Engineer, building pipelines, data models and platforms - Familiarity with the Microsoft data ecosystem (Fabric, Azure Data Factory, Power BI is a strong plus) - A good understanding of how data supports analytics and AI (hands-on experience is a bonus, not a must) - A pragmatic, "builder" mindset - you get things done, learn, and improve along the way - The ability to work in an environment where not everything is defined yet - A collaborative and communicative way of working - you make complex things easy to understand. Whether you're looking to take the next step as a junior, or want more ownership as a mid-level engineer, we're focused on finding the right fit. Why join Cibes? Because here, you get the chance to build something that truly matters. - Be the first Data Engineer and shape how we work with data and AI globally - Work in a down-to-earth, collaborative environment with experienced colleagues across regions - Have real impact from day one - your work will be used and visible across the business - Help build the team and set the direction for what comes next. Enjoy working from the office or remotely within Europe, with a global organisation headquartered in Sweden Ready to build something from the start? We look forward to hearing from you. Application To be considered for this role, you must have a permanent right to work and reside in Sweden. Verification of work authorization will be required during the interview process. You apply for the position by clicking "ANSÖK NU" in the job advertisement. Due to GDPR, we do not accept applications via email. Please submit your CV and briefly describe your relevant experience and motivation for the role in a cover letter. Apply as soon as possible, but no later than 2026-08-09. This recruitment process is conducted in collaboration with Jefferson Wells, and you will be employed directly by Cibes Lift Group. For more information, please contact: Marjo Carlson, 070 377 06 64, marjo.carlson@jeffersonwells.se

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

Vill du ta nästa steg i din karriär som Data Warehouse-utvecklare? Vi söker dig som har erfarenhet av datalagerutveckling och vill arbeta med moderna datalösningar som skapar värde för verksamheten. Om tjänsten I rollen som Data Warehouse-utvecklare kommer du att ha en central funktion i utvecklingen av företagets dataplattformar. Du arbetar med hela dataflödet, från insamling och bearbetning av data till modellering och tillgängliggörande av information som stödjer analyser och verksamhetsbeslut. Du blir en del av ett kompetent team där datadriven utveckling och innovation står i fokus. Tillsammans bidrar ni till att skapa effektiva och hållbara lösningar som ger verksamheten bättre förutsättningar att fatta välgrundade beslut. Detta är ett konsultuppdrag vilket innebär att du blir anställd av Academic Work, men arbetar hos kund. För rätt person finns goda möjligheter till överrekrytering! Arbetsuppgifter Denna roll innebär att du utvecklar och underhåller datalager, skapar ETL/ELT-lösningar och modellerar data för att möta verksamhetens analysbehov. Utveckling och förbättring av databasobjekt i Teradata Hantering av ETL-pipelines med Informatica (IDMC/Cloud Data Integration eller PowerCenter) Deltagande i planering, utveckling, testning och deployment Säkerställande av datakvalitet och integritet i databasen för myndighetsrapportering Vi söker dig som Har en kandidatexamen inom datavetenskap, business intellligance, data science eller motsvarande område samt minst ett års relevant arbetslivserfarenhet Har avancerade kunskaper i SQL Har god förståelse för Data Warehouse-modellering Har kunskap och förståelse av att designa och implementera ETL/ELT-pipelines Har erfarenhet av Python eller andra scriptingspråk Har mycket goda kunskaper i svenska och engelska i såväl tal som skrift, eftersom båda språken förekommer i det dagliga arbetet Det är meriterande om du har Erfarenhet av Snowflake eller Teradata-plattformar Erfarenhet av Informatica-verktyg (IDMC, PowerCenter) Grundläggande kunskaper om molntjänster Bor i eller har anknytning till Umeå För att lyckas i rollen har du följande personliga egenskaper: Målmedveten Ordningsam Stabil Ansvarstagande 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.

Om Vimla! Vimla är den snabbfotade kusinen i Telenor-familjen som erbjuder mobiltelefoni med en twist! Vi tar kundfokus och schyssthet till en ny nivå på den svenska mobilmarknaden. Hos oss står kunden i centrum, genom enkelhet, transparens och en genuin vilja att skapa värde. Det ska vara enkelt och roligt att vara kund hos oss. Resultatet? Sveriges Nöjdaste Mobilkunder 2022, 2023, 2024 och 2025! Vi är Vimla – mobiloperatören med bra vibrationer! Vimla är en helt digital mobiloperatör där data är en kritisk del av produkten. Nu har du chansen att joina Team Vimla i rollen som Lead Data Engineer. Ta chansen och sök nu! Vad du kommer att göra Som Lead Data Engineer äger du Vimlas dataplattform. Din kärna är teknik men ditt intresse sträcker sig ut i affären och organisationen. Du balanserar hands-on-arbete med tekniskt ledarskap i en miljö där data driver allt från BI och analys till framtida AI-initiativ. Din första prioritet är att skapa en robust, skalbar och långsiktigt hållbar teknisk grund. Du blir en del av en öppen och prestigelös kultur där vi hjälper varandra, delar kunskap och prioriterar tillsammans. Huvudarbetsuppgifter: Äga och driva den tekniska utvecklingen av dataplattformen – från ingestion och transformation till warehouse och konsumtion (Airflow, Python, Redshift, Tableau) Designa, bygga och förbättra datapipelines och datamodeller hands-on Designa och vidareutveckla vår dataarkitektur i AWS Säkerställa datakvalitet, governance, lineage, testning och monitorering genom hela plattformen Äga integrationer mot marknadsautomationsplattformar (idag Adobe Campaign) end-to-end Driva CI/CD, automation och best practices för datadomänen Samarbeta tvärfunktionellt med produkt, teknik och kommersiella team Coacha och mentorera teamets Data Engineer Rollen innebär inte personalansvar, men kräver ett tydligt tekniskt ledarskap och förmåga att driva arbete genom andra. Vi tror att du kommer trivas hos oss om du… … är nyfiken, strukturerad och handlingskraftig, med djup teknisk kompetens och förmåga att växla mellan helhet och detalj … har stark erfarenhet av datamodellering, data warehousing och pipelineutveckling i en modern datastack … är bekväm med Python, SQL, Airflow och har god förståelse för molnbaserade datalösningar … har förmåga att ta tekniska beslut och driva arkitektur i miljöer med hög komplexitet över tid … har flera års erfarenhet av data engineering eller liknande i en digital miljö … kan kommunicera muntligt och skriftligt på svenska då det är vårt företagsspråk Meriterande: erfarenhet från telekom eller annan abonnemangsaffär, universitetsexamen inom datavetenskap, matematik, fysik eller annat kvantitativt område, samt erfarenhet av BI-verktyg som Tableau. Vi värderar ditt utforskande mindset, tekniska tänkande och förmåga att bygga robusta system högre än erfarenhet av vår exakta tekniska stack. Vårt löfte Rollen passar dig som vill ha reellt ansvar, korta beslutsvägar och äga en hel dataplattform i en miljö där inte allt är perfekt från början, men där du har möjlighet att påverka på riktigt. Hos oss blir du en del av ett skickligt team som delar kunskap, stöttar varandra och driver utvecklingen framåt tillsammans. Vi värdesätter olika perspektiv och erfarenheter och arbetar aktivt för en inkluderande miljö där du kan utvecklas och få mandat att göra skillnad. Dessutom får du: Kontor för samarbete, kreativitet och företagsanda - vi tror att vi är bättre tillsammans och att lagandan utvecklas när vi träffas och interagerar personligen Ett generöst hälso- och förmånspaket med friskvårdsbidrag, sjukförsäkring, "ge mig en paus"-dagar, tjänstepension och mycket mer. Utvecklingsprogram för att fördjupa dina kunskaper och bredda din kompetens Ansök idag! Om du är intresserad och vill veta mer, kontakta Marcus Jonsson, Acting Head of Tech: marcus.jonsson@vimla.se Ansök genom att följa länken "ansök" i annonsen. Vänta inte med att söka, vi går igenom ansökningar regelbundet. Vi utvärderar inte CV:n som skickas direkt till oss på e-post. Bra att veta I enlighet med Telenors policy genomför vi en bakgrundskontroll på slutkandidater i alla rekryteringar. Plats: Stockholm, Råsunda Flexibelt arbete: Ja, med 3 dagar/vecka på kontor

Join Coor in Stockholm and grow into a Tech Lead role, helping structure and develop our Databricks and Azure data platform Have you worked a few years with Databricks and feel ready to take the technical lead? Coor is building a modern Azure and Databricks platform, and we are now looking for a Data Engineer who wants to step inte technical ownership. A new Databricks environment is in place, and several large source systems, including finance and transaction platforms, are moving to SaaS, changing how data is structured, integrated, and delivered. Coor is now strengthening how we design, build, and structure our data platform. This is the right role for you who enjoy hands-on engineering and want to take ownership of how things are built. THE OPPORTUNITY - This is an opportunity to grow into technical leadership in a supportive and engaged team. We offer you: - To step into a role where your technical voice will be heard and valued - The opportunity to grow alongside a platform that is still taking shape - A team with strong collaboration, open discussions, and high engagement - To influence how we structure and mature our Databricks environment from an early stage YOUR CHALLENGE In this role, you combine hands-on data engineering with growing technical leadership. You will spend a significant part of your time building solutions in Databricks, while also shaping how the team approaches design, structure, and quality. More concretely, you will: - Design and build scalable data solutions in Azure and Databricks - Develop and refine ETL/ELT pipelines, including near real-time data flows - Contribute to architectural decisions together with architects and stakeholders - Bring clarity to coding standards, branching strategies, and documentation - Review code and promote consistency, quality, and maintainability - Support sprint planning by helping break down and refine technical solutions before development starts Beyond the day-to-day development work, you will also help structure how we apply Delta Lake, Unity Catalog, and Lakehouse principles in practice, ensuring that what we build is sustainable over time. THE TEAM AND WORKPLACE You will join Coor’s Data & Analytics team, which consists of two main focus areas: business deliveries in Qlik and platform development within Azure and Databricks. You will work closely with our Analytics Architect as well as the engineers in the team. Many of us have worked together for a long time and there is a high level of trust across roles - discussions are open, ideas are welcomed, and technical topics are explored together before decisions are made. We are based in our brand-new offices in Solna, where we meet three days a week in a hybrid setup based on the team’s needs. ABOUT YOU You have worked hands on with Databricks for a few years and feel confident building solutions in the Azure data ecosystem. You are strong in SQL and comfortable using Python when needed. You have experience building data pipelines and working with data models, and you understand how data lakes and analytical data products are structured. You may already have taken informal technical responsibility in your team (reviewing code, guiding discussions, or suggesting better ways of working) and now feel ready to formalize that role. You bring structure where needed and enjoy making technical decisions clear and understandable, both verbally and in documentation. You are comfortable working in Swedish and English. Most importantly, you are motivated to grow into a technical lead role while helping the team build sustainable and scalable solutions. About the position - Type of employment: Permanent - Scope of work: Full time - Working hours: Hybrid - Start date: TBD - Probationary period: 6 months To ensure a fair and accurate recruitment process, we use personality assessments and conduct background checks on all employees upon employment. Additional information If you have any questions, please contact: Mikaela Ströberg, mikaela.stroberg@adadigital.se We review applications on an ongoing basis, so don’t wait – apply today! To comply with GDPR, we only accept applications submitted through our advertisement. We kindly ask recruitment agencies and sales representatives to refrain from contacting us regarding this position. We look forward to receiving your application! Coor is a leading provider of workplace services in the Nordics. We are present at thousands of workplaces across the region, making us experts in smart, safe, and sustainable working life. We take care of our customers’ properties, cook food, clean, welcome guests, deliver mail, and design offices. In total, we offer more than 100 services as part of our mission – to create the happiest, healthiest and most prosperous workplace environments in the Nordic region. Together, we create value by performing, leading, and streamlining our customers’ service operations, so they can focus on what they do best. We take care of the rest.