Data Platform Engineer - Azure

Job Description

I am looking for a Freelance, Finnish-speaking, Azure Data Platform Engineer to take ownership of a modern Azure-based data platform, with a focus on standardisation, security, and operational excellence. This role sits at the platform level, enabling multiple data teams to deliver data products quickly, securely, and consistently.

Key Responsibilities

Design, build, and evolve a standardised Data Landing Zone / Lakehouse platform in Azure *

Create reusable frameworks, patterns, and "golden paths" to enable uniform ways of working across data teams *

Build metadata- and configuration-driven ingestion frameworks to onboard new data sources efficiently *

Ensure strong security and governance across the platform, including identity and access management (RBAC, managed identities, Key Vault, policies, logging) *

Establish and maintain CI/CD pipelines, deployment patterns, and environment structures (dev/test/prod, multiple domains) *

Own platform operability, including monitoring, incident management, and continuous improvement *

Drive cost transparency and optimisation (FinOps), performance tuning, and resource efficiency *

Support and enable data teams through documentation, templates, onboarding flows, and technical guidance

Required Experience

Strong hands-on experience with Azure data services such as Synapse Analytics, Azure Data Factory, and ADLS Gen2 *

Solid programming skills in Python (and/or C#/.NET) and strong SQL *

Experience with Infrastructure as Code using Bicep and/or Terraform *

CI/CD experience with Azure DevOps Pipelines or GitHub Actions *

Good understanding of Lakehouse architecture, metadata-driven ingestion, and data governance concepts *

Experience implementing secure, reliable platforms using Azure IAM, managed identities, and network controls