Data Engineer Architect - Microsoft Fabric

Context&; Helsinki; Hybrid; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Hybrid work in Helsinki

Certifications and knowledge sharing

Job summary

Context& in Finland is seeking a Data Platform Architect/Engineer to shape client data platforms on Microsoft Fabric. You will own architecture, lead migrations, and design scalable, secure lakehouse environments for analytics, AI, and real-time data.

You will work with Lakehouse, Data Factory, and notebooks, collaborate across teams, and mentor others while staying hands-on with SQL and PySpark. Hybrid Helsinki office with remote options; Finnish fluency required.

Qualifications

• Several years of experience in data engineering or data platform development with architecture responsibility.
• Strong hands-on experience with Microsoft Fabric including Lakehouse, Warehouse, Data Factory and notebooks.
• Excellent SQL and PySpark/Spark skills; deep understanding of data warehouse and lakehouse architectures.

Responsibilities

• Own the architecture of client data platforms built mainly on Microsoft Fabric: OneLake, Lakehouse, Warehouse, Data Factory pipelines, notebooks and Real-Time Intelligence.
• Lead migrations from Azure Synapse and other Azure platforms to Fabric, including planning and hands-on delivery.
• Design medallion architectures (bronze/silver/gold) and secure, scalable data models and semantic layers.
• Define how Fabric is governed and run: workspaces, capacity sizing, cost, security and CI/CD with Git.
• Build and review pipelines with SQL and PySpark; set engineering standards for the team.
• Prepare data for Power BI, Copilot and Fabric data agents.
• Act as trusted technical advisor; support pre-sales and mentor others.

Skills

SQL

PySpark

Microsoft Fabric

Lakehouse

Data Factory

Notebooks

Azure DevOps

GitHub

Data Lake Storage

Power BI

English

Finnish

Communication

Tools

Git

Power BI

Job description

Do you want to shape how organisations build their data platforms on Microsoft Fabric? Do you enjoy combining architecture with hands‑on engineering, and turning data into a foundation for analytics, AI and agentic solutions? Then this could be your next role. Become our new colleague in Finland!

At Context& we work with Microsoft solutions, always with AI as an integrated part. We are more than 330 colleagues across five offices in Finland and Denmark, working with both public and private clients on projects that deliver measurable results. You will join a community with high standards for quality, where we solve problems together through knowledge sharing and close collaboration.

Data Platform team

• You would join the Data Platform team, helping our clients with their data needs.
• We design and build data environments that support analytics, AI agents, production pipelines and machine learning.
• Some of us also teach the latest in data and analytics.

Your responsibilities

• Own the architecture of client data platforms built mainly on Microsoft Fabric: OneLake, Lakehouse, Warehouse, Data Factory pipelines, notebooks and Real‑Time Intelligence.
• Lead migrations from Azure Synapse and other older Azure platforms to Fabric, including planning, roadmaps and hands‑on delivery.
• Design medallion architectures (bronze/silver/gold), data models and semantic layers that are secure, scalable, cost‑efficient and easy to monitor.
• Define how Fabric is governed and run: workspaces and environments, capacity sizing and cost, security and access, CI/CD with Git and deployment pipelines.
• Build and review pipelines and transformations with SQL and PySpark, and set engineering standards for the team.
• Prepare data so it is ready for Power BI, Copilot and Fabric data agents.
• Act as a trusted technical advisor to clients, support pre‑sales, and coach and mentor others in the team.
• Several years of experience in data engineering or data platform development, including responsibility for architecture and technical decisions.
• Strong hands‑on experience with Microsoft Fabric, especially Lakehouse, Warehouse, Data Factory and notebooks.
• Excellent SQL skills and solid PySpark or Spark experience.
• Deep understanding of lakehouse and data warehouse architecture, dimensional modelling, data quality and performance tuning.
• Working knowledge of the Azure services that support Fabric, such as Entra ID, Key Vault, networking and private endpoints, Azure DevOps or GitHub, and Azure Data Lake Storage.
• The ability to explain technical choices clearly to both technical and business people.
• Fluent Finnish and good English.

Nice to have

• Experience migrating from Synapse or Azure SQL to Fabric.
• Real‑time and streaming data (Eventstream, Eventhouse/KQL).
• Power BI semantic models and DAX.
• Microsoft Purview and data governance.
• Integrating REST APIs.
• Microsoft certifications such as Fabric Data Engineer Associate (DP-700), Fabric Analytics Engineer Associate (DP-600) or Azure Data Engineer.

About Context&

Context& was created through the merger of Sulava, Consit, Delegate and Projectum, four of the Nordic region's leading Microsoft partners. We are built on three principles:

• People: We succeed by working in strong teams, sharing knowledge and collaborating closely with our clients.
• Innovation: We use AI and Microsoft technology to build solutions with real business and societal impact.
• Trust: We deliver on our promises and put quality and integrity at the centre of our work.

As part of The Digital Neighborhood, a network of nine specialised European IT companies, we can draw on expertise across countries and technologies when a task needs it.

What we offer

• A key role in shaping our Fabric offering and client architectures.
• Work with the latest Microsoft data and AI technologies.
• Skills development through certifications, courses and knowledge sharing.
• Hybrid work from our Helsinki office at Arkadiankatu 6, with the option to work remotely in Finland.
• A culture built on collaboration, trust, strong relationships and ambition.

If you have any questions about the role, don't hesitate to contact Area Lead, AI & Data, Timo Tuovinen via email [e-mail]