Reads like a Data Engineer role: pipelines and data infrastructure.
Lëtzebuerg, Lëtzebuerg, Luxembourg
Open 5 months, first seen by us 157 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and build ELT/ETL pipelines across SSIS, Azure Data Factory and Microsoft Fabric
Model and maintain Power BI semantic layers that serve as the single source of truth
Migrate BI environments from SQL Server to Synapse, Fabric and ADLS Gen2/OneLake
Apply data testing, documentation, version control and T-SQL performance tuning
Advise clients on data modeling strategy (Kimball/Inmon) and analytical architecture
Design and build ELT/ETL pipelines across the Microsoft stack — from on-prem SSIS workflows to Azure Data Factory and Microsoft Fabric
Model and maintain semantic layers in Power BI (DAX, RLS, deployment pipelines, Apps) that serve as the single source of truth for reporting
Migrate and modernise BI environments: SQL Server → Synapse Analytics / Microsoft Fabric / ADLS Gen2 / OneLake
Implement Analytics Engineering standards: data testing, documentation, version control, and performance tuning (T-SQL optimisation, stored procedures)
Support clients in defining their data modeling strategy (Kimball / Inmon) and analytical architecture
Open 5 monthsWe first saw this posting 157 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 157
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Devoteam’s usual: its jobs come down by about day 22.
From 13,630 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.
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Nice-to-have Databricks • Azure AI Foundry • Python/PySpark • dbt (Data Build Tool) • Microsoft/DBT certifications (DP-600, PL-300, DP-700, DP-203 Additional Information
- Model and maintain semantic layers in Power BI (DAX, RLS, deployment pipelines, Apps) that serve as the single source of truth for reporting; - Migrate and modernise BI environments: SQL Server → Synapse Analytics / Microsoft Fabric / ADLS Gen2 / OneLake; - Implement Analytics Engineering standards: data testing, documentation, version control, and performance tuning (T-SQL optimisation, stored procedures);
- Migrate and modernise BI environments: SQL Server → Synapse Analytics / Microsoft Fabric / ADLS Gen2 / OneLake; - Implement Analytics Engineering standards: data testing, documentation, version control, and performance tuning (T-SQL optimisation, stored procedures); - Support clients in defining their data modeling strategy (Kimball / Inmon) and analytical architecture;
- At least 3 years of hands-on experience; - T-SQL (optimization, stored procedures, functions); - Power BI Desktop and Service (DAX, RLS, Apps);
- Data warehousing : proficiency in modeling concepts(Kimball/Inmon); - On-Prem stack : SQL Server, SSIS, SSAS; - Cloud stack : Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric;
What you will do : - Design and build ELT/ETL pipelines across the Microsoft stack — from on-prem SSIS workflows to Azure Data Factory and Microsoft Fabric; - Model and maintain semantic layers in Power BI (DAX, RLS, deployment pipelines, Apps) that serve as the single source of truth for reporting;
- Support clients in defining their data modeling strategy (Kimball / Inmon) and analytical architecture; - Prototype and evaluate emerging capabilities — Copilot Studio, Azure AI Services, Azure AI Foundry — and translate them into production-ready recommendations. Qualifications
- On-Prem stack : SQL Server, SSIS, SSAS; - Cloud stack : Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric; - Storage : ADLS Gen2, OneLake;
- Storage : ADLS Gen2, OneLake; - AI Integration : Copilot Studio, Azure AI Services; - Fluent in both English and French (spoken and written).
Join a community where technology meets humanity. We believe that a job should be more than just a to-do list; it should be a place where you grow, connect, and make an impact. With us, you will find: - 🚀 A playground for innovation: You will work with the latest Microsoft tech (Fabric, Copilot, Azure AI) to build future-proof solutions. This is your chance to stay ahead of the curve. - 🤝 A culture of connection: We are 140+ tech enthusiasts from 30+ countries. We don't just work together; we celebrate diversity and win together.
Devoteam is an AI-driven tech consulting firm with nearly 30 years of expertise in cloud platforms, data, cyber and sustainable digital transformation. With 11,000 tech professionals across 25+ countries, we leverage technology to create real value for people and organisations. As a leading Microsoft Partner in EMEA—1200+ Microsoft experts, 6 solution designations and 18 advanced specialisations—we support clients at every stage of their cloud and AI journey. From Azure architecture to managed services and AI-powered modernisation, we help organisations accelerate their transformation and build a future-proof digital ecosystem.
- Design and build ELT/ETL pipelines across the Microsoft stack — from on-prem SSIS workflows to Azure Data Factory and Microsoft Fabric; - Model and maintain semantic layers in Power BI (DAX, RLS, deployment pipelines, Apps) that serve as the single source of truth for reporting; - Migrate and modernise BI environments: SQL Server → Synapse Analytics / Microsoft Fabric / ADLS Gen2 / OneLake;
- T-SQL (optimization, stored procedures, functions); - Power BI Desktop and Service (DAX, RLS, Apps); - Data warehousing : proficiency in modeling concepts(Kimball/Inmon);
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
You will help clients build modern, reliable, and AI-ready data platforms using the full Microsoft stack. You balance hands-on delivery with strategic advisory, and you work in hybrid environments where legacy systems meet modern cloud architectures. If you are passionate about data engineering, analytics, and the future of AI in enterprise environments, we’d love to meet you.
What you will do :
Must-have:
Soft skills:
Analytical thinker • Structured & autonomous • Clear communicator • Curious and proactive
Nice-to-have
Databricks • Azure AI Foundry • Python/PySpark • dbt (Data Build Tool) • Microsoft/DBT certifications (DP-600, PL-300, DP-700, DP-203
Life at Devoteam ✨
Join a community where technology meets humanity. We believe that a job should be more than just a to-do list; it should be a place where you grow, connect, and make an impact. With us, you will find:
Who thrives here? 💡
We are looking for problem-solvers who turn challenges into elegant solutions and curious minds who never stop learning. If you love combining deep technical work with human interaction, you will fit right in.
Devoteam stands for equal opportunities. We are convinced that diversity contributes to the creativity, dynamism, and excellence of our organization. All our positions are open to people with disabilities.
Devoteam is an AI-driven tech consulting firm with nearly 30 years of expertise in cloud platforms, data, cyber and sustainable digital transformation. With 11,000 tech professionals across 25+ countries, we leverage technology to create real value for people and organisations.
As a leading Microsoft Partner in EMEA—1200+ Microsoft experts, 6 solution designations and 18 advanced specialisations—we support clients at every stage of their cloud and AI journey. From Azure architecture to managed services and AI-powered modernisation, we help organisations accelerate their transformation and build a future-proof digital ecosystem.
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Lëtzebuerg, Lëtzebuerg, Luxembourg
Job Description You will help clients build modern, reliable, and AI-ready data platforms using the full Microsoft stack. You balance hands-on delivery with strategic advisory, and you work in hybrid environments where legacy systems meet modern cloud architectures. If you are passionate about data engineering, analytics, and the future of AI in enterprise environments, we’d love to meet you. What you will do :
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