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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

Job Description

I'm supporting a client who is seeking an experienced Finnish-speaking Azure DevOps Engineer with a strong focus on identity, access management, and secure cloud operations within Azure. This role will play a key part in ensuring platforms are scalable, automated, and aligned with security best practices.



Key Responsibilities



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Design, build, and maintain CI/CD pipelines using Azure DevOps
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Implement and manage Azure identity and access management, with a strong focus on Azure AD / Entra ID
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Define and maintain RBAC, service principals, managed identities, and access policies across environments
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Automate Azure infrastructure using Infrastructure as Code (Terraform preferred; Bicep/ARM acceptable)
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Support secure application deployments across multiple environments
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Work closely with engineering and security teams to enforce least-privilege access and governance standards
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Monitor, troubleshoot, and improve platform reliability and security
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Maintain documentation, access models, and operational runbooks



Technical Requirements



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Strong hands-on experience with Microsoft Azure in production environments
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Proven experience with Azure DevOps (pipelines, repos, artifacts)
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Deep understanding of Azure AD / Entra ID, IAM concepts, and access governance
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Experience implementing RBAC, managed identities, service principals, and conditional access
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Infrastructure as Code experience (Terraform preferred)
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Experience with containers and orchestration (Docker, Kubernetes / AKS)
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Scripting experience (PowerShell, Bash, or similar)
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Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics, Application Insights)



Nice to Have



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Experience working in regulated or security-conscious environments
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Knowledge of Azure Policy, PIM, and access reviews
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Experience supporting microservices architectures
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Background working closely with security or platform teams

Job Description

My customer is seeking an experienced Freelance Azure Data Engineer with Data Architecture experience to design, build, and optimise enterprise-scale data platforms on Microsoft Azure.

This role is hands-on but requires strong architectural ownership - you'll be responsible for shaping data solutions end to end, from ingestion through to analytics and consumption.

Finnish-speaking is mandatory.



Key Responsibilities



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Design and implement scalable Azure-based data architectures
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Build and maintain reliable data pipelines (batch and streaming)
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Lead architectural decisions across data ingestion, storage, and analytics
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Develop data models optimised for performance and analytics use cases
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Ensure best practices around data governance, security, and compliance
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Optimise cost, performance, and reliability of Azure data platforms
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Collaborate closely with engineers, analysts, and business stakeholders



Required Experience



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Strong background as a Data Engineer with architect-level responsibility
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Proven experience designing and delivering data platforms on Microsoft Azure
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Hands-on experience with:

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Azure Data Factory
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Azure Synapse Analytics
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Azure Databricks
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Azure Data Lake (Gen2)

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Strong SQL and data modelling expertise
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Experience with CI/CD and infrastructure-as-code in Azure
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Ability to work independently in a freelance/contract environment



Nice to Have



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Streaming experience (Azure Event Hubs, Kafka)
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Azure Purview / Microsoft Fabric experience
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Terraform or Bicep
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Experience in large enterprise or regulated environments

Lead Data Engineer - Azure & DataBricks

Location: Helsinki (Hybrid)



About the Company

I am now working a SaaS provider with a strong focus on data-driven decision making. The mission is to help customers unlock the true value hidden in their data by giving them the tools, platforms, and insight needed to make better, faster, and more confident decisions.

Data is at the core of everything we do - both internally and in how we support our customers.



The Role

I am looking for a Lead Data Engineer to take a central role in the design, development, and leadership of our cloud-based data platform.

This position combines hands-on technical delivery with people leadership, project ownership, and a clear pathway toward a formal management role.

You will act as a technical authority within the team while also helping to shape how the data engineering function grows over time.



Key Responsibilities

Hands-on Data Engineering

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Lead the design, build, and evolution of scalable data pipelines and platforms using Azure data services
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Work extensively with Azure Databricks for data processing and analytics
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Drive architectural decisions, data modelling standards, and engineering best practices
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Ensure high standards for data quality, reliability, performance, and security



Technical & People Leadership

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Take ownership of data engineering projects end to end
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Act as a mentor and technical leader for other data engineers
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Support planning, estimation, and prioritisation of engineering work
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Collaborate closely with product, analytics, and business stakeholders



Team Growth & Management Potential

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Play an active role in recruitment and onboarding of future team members
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Help define team structure, processes, and ways of working
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Demonstrate leadership capability with a clear opportunity to grow into a Data Engineering Manager or Team Lead role



What We're Looking For

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Strong experience in a Lead or Senior Data Engineer role
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Hands-on expertise with Azure data services, including Databricks
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Deep understanding of modern data architectures and cloud-based analytics platforms
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Proven experience leading projects and mentoring engineers
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Motivation to take on people leadership and team-building responsibilities
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Strong communication skills and a collaborative, pragmatic mindset
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Fluent English



What's in It for You

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A lead-level role with real influence over technology, delivery, and team direction
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A clearly defined path toward formal management
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Work in a SaaS company where data and engineering excellence are core to the product
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Opportunity to shape both the platform and the future data engineering team
* Dedicated time to independent study and growth
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Flexible working model with a Helsinki-based team



We know when searching for someone who will have such a large impact on a business we have to focus on ambitions and mindset just as much as the technica background.



I will be inviting selected candidtaes to an informal chat where I can learn more about these chararcteristics on an ongoing basis.

d.nichol@tenthrevolution.com