Devoteam
Technology
MicrosoftData&AIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Microsoft Data & AI Engineer at Devoteam. Skills: Data Engineering, Cloud Platforms, DevOps, Data Architecture. Design data solutions. Build data pipelines”
Industry & Context.
Problem solving; Analytical thinking; Troubleshooting
What They're Looking For.
Must Have
3+ years experience, Bachelor's degree, Experience with Azure, Experience with AWS, Experience with GCP, Experience with Python, Experience with SQL, Experience with data modeling, Experience with ETL processes, Experience with data warehousing, Experience with data pipelines, Experience with data visualization, Experience with CI/CD, Experience with Docker, Experience with Kubernetes, Experience with Terraform, Experience with Git, Experience with Agile methodologies
Nice to Have
Master's degree, Experience with machine learning, Experience with AI, Experience with Power BI, Experience with Tableau, Experience with Databricks, Experience with Snowflake, Experience with Azure Data Factory, Experience with Azure Synapse, Experience with AWS Glue, Experience with AWS EMR, Experience with GCP Dataflow, Experience with GCP Dataproc, Experience with Azure DevOps, Experience with GitHub Actions, Experience with Jenkins
What You'll Do.
Design data solutions
Implement ETL processes
Manage data warehouses
Deploy cloud infrastructure
Monitor system performance
Collaborate with stakeholders
Stay updated on technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile teams; Stakeholder collaboration
Communication Scope
Technical documentation; Stakeholder communication
Process & Methodology
Agile methodologies, Scrum
Full Job Description
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. 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 : * 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; * Prototype and evaluate emerging capabilities — Copilot Studio, Azure AI Services, Azure AI Foundry — and translate them into production-ready recommendations. ## Qualifications Must-have: * At least 3 years of hands-on experience; * T-SQL (optimization, stored procedures, functions); * Power BI Desktop an
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