Senior Data Platform Engineer

Senior Data Platform Engineer – (Level 5)

Description: About the role

Our client is currently undergoing a major modernization of its digital ecosystem — where data is at the center. The organization is building a modern, decentralized data platform inspired by data mesh principles, with the aim of empowering teams to self-publish, discover, and consume high-quality datasets.

The cross-functional Foundry team acts as both a platform builder and a partner in concrete business cases. The team develops common platform capabilities (e.g. catalog, governance, orchestration, and SDKs), while working closely with the business to ingest, model, and deliver data products. This creates both early business value and a platform that is validated in practice.

We are now looking for a Senior Data Platform Engineer who can help scale this work. The role involves both strengthening the platform’s foundations and participating in early pilots — in close collaboration with development and analytics teams to deliver secure, reliable, and reusable data products.

In this role, you will work with...

Data ingestion and modeling: building pipelines, applying anonymization, and creating reusable datasets in Databricks

Platform foundation development: designing and implementing secure workspace structures, Unity Catalog strategies, access controls, and orchestration patterns in Azure environment

Creating golden paths: defining standard patterns and tools for publishing, versioning, and consuming datasets — including SDKs, documentation, and templates

Operationalizing compliance: building in privacy and governance features (e.g., GDPR, RtBF, data classification, anonymization frameworks)

Cross-functional collaboration: working closely with platform, infrastructure, engineering, and analytics teams to make the platform usable, secure, and value-creating from day one

You fit the role if you…

Have 5+ years of hands-on experience as a software or data engineer, preferably with a focus on platform/infrastructure

Have deep experience with Databricks, including Unity Catalog, Delta Lake, workspace setup, and data engineering

Are familiar with Azure, especially in secure network design, identity (RBAC), storage, and VNet setup

Has worked with Terraform and other Infrastructure as Code tools

Understands data governance and privacy requirements, and has implemented solutions for anonymization, pseudonymization, or access control

Has experience orchestrating pipelines and jobs in a Databricks environment

Is comfortable with Python, SQL, CLI tools, and Git-based workflows

Is pragmatic and likes to deliver iteratively, with a balance between structure and speed

Enjoys collaboration, documentation, and helping others succeed

Extra plus if you…

Have built or integrated dataset catalogs, metadata tracking tools or Backstage plugins

Have knowledge of data mesh, internal platform design or developer experience

Have experience with Power BI, data modeling for analysis and end-user data needs

Why this role?

This is an opportunity to contribute to one of Sweden's most important modernization journeys, with a focus on sustainability and societal benefit. You will be part of an initiative that is not just about technology — but about changing how data is used and shared in an entire organization.

Here you get to work on the border between platform development and concrete business needs — where you both build a modern data foundation from the ground up and deliver value from day one.

desired start: 2025-10-01

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