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

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  Design, build, and evolve a standardised Data Landing Zone / Lakehouse platform in Azure
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  Create reusable frameworks, patterns, and "golden paths" to enable uniform ways of working across data teams
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  Build metadata- and configuration-driven ingestion frameworks to onboard new data sources efficiently
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  Ensure strong security and governance across the platform, including identity and access management (RBAC, managed identities, Key Vault, policies, logging)
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  Establish and maintain CI/CD pipelines, deployment patterns, and environment structures (dev/test/prod, multiple domains)
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  Own platform operability, including monitoring, incident management, and continuous improvement
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  Drive cost transparency and optimisation (FinOps), performance tuning, and resource efficiency
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  Support and enable data teams through documentation, templates, onboarding flows, and technical guidance

Required Experience

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  Strong hands-on experience with Azure data services such as Synapse Analytics, Azure Data Factory, and ADLS Gen2
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  Solid programming skills in Python (and/or C#/.NET) and strong SQL
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  Experience with Infrastructure as Code using Bicep and/or Terraform
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  CI/CD experience with Azure DevOps Pipelines or GitHub Actions
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  Good understanding of Lakehouse architecture, metadata-driven ingestion, and data governance concepts
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  Experience implementing secure, reliable platforms using Azure IAM, managed identities, and network controls