Data Platform Engineer (Remote, Copenhagen)

Job summary

The role involves designing, building, and operating platform services and automation for data products, supporting various teams across a large-scale organization. The engineer will engage in end-to-end feature development and participate in an on-call rotation for the services managed.

Qualifications

• Proven experience in building and operating data platforms or backend services at scale.
• Proficient in Python and at least one additional programming language.
• Hands-on experience with Terraform and CI/CD in a production environment.
• Familiarity with Databricks, Spark, and Delta Lake or similar technologies.
• Strong fundamentals in software engineering, including testing and debugging.
• Experience managing services in production, including incident response and SLO tracking.

Responsibilities

• Develop and maintain platform services, SDKs, and automation for product teams.
• Implement infrastructure-as-code, CI/CD pipelines, and automated policy enforcement.
• Manage production services, including incident response and service health monitoring.
• Collaborate with product engineers to enhance platform capabilities based on recurring issues.

Skills

• Experience with policy-as-code tools, secrets management, and IAM in cloud environments is a plus.
• Knowledge of streaming technologies like Kafka or Event Hubs and event-driven architectures is beneficial.
• Familiarity with data quality and lineage tools such as Unity Catalog or Great Expectations is advantageous.
• Exposure to the Microsoft data ecosystem, including Fabric and Power BI, from a platform perspective is a plus.

Education

• Relevant degree in Computer Science, Engineering, or a related field is preferred.

Tools

• Proficiency in Terraform, CI/CD tools, Databricks, Spark, and Delta Lake.