Data Platform Engineer

We are looking for a Hybrid Senior Data Platform Engineer to join our growing data team. This is a highly impactful role focused on infrastructure, operations, and scalability rather than pure analytics. You will play a critical part in ensuring our streaming-first, self-service data platform is stable, reliable, and optimized for high performance, enabling teams across the business to make data-driven decisions.

This role requires strong cloud infrastructure expertise (GCP, BigQuery, Kubernetes) and experience in building and maintaining complex data platforms.

Key Responsibilities

• Design, build, and optimize data platform infrastructure with a focus on reliability, scalability, and performance.

• Manage and evolve data pipelines (batch and streaming) ensuring robustness and low-latency delivery.

• Own BigQuery optimization, including cost/performance tuning, schema design, and efficient query structuring.

• Implement best practices for monitoring, logging, and alerting across data services and pipelines.

• Collaborate with software engineers, data scientists, and analysts to enable self-service and effective use of data.

• Develop and maintain infrastructure as code (Terraform, Kubernetes, Docker).

• Support incident management and resolution for data-related outages or performance issues.

• Ensure compliance, data governance, and security standards are adhered to within the data platform.

Requirements

• Proven experience as a Data Platform Engineer / Infrastructure Data Engineer / DataOps Engineer.

• Expertise with Kubernetes, Docker, and Terraform.

• Strong knowledge of data pipeline technologies (e.g., Apache Flink, Spark, Beam, or equivalent).

• Experience with monitoring and observability tools for data systems.

• Strong experience within cloud environments such as AWS, Azure etc

• Understanding of data modeling, warehouse optimization, and cost management.

• Proficiency in SQL and comfort working with large datasets.

• Ability to work in a fast-paced, scaling environment with cross-functional teams.

Nice-to-Have

• Experience with DBT or similar transformation tools.

• Strong experience with GCP (Google Cloud Platform), especially BigQuery.

• Exposure to Kafka or other event streaming platforms.

• Background in distributed systems and high-throughput data environments.

• Strong documentation and communication skills.

What We Offer

• Competitive salary plus 5% pension.

• Opportunity to work on a high-impact data platform used across multiple teams and products.

• A collaborative, innovative environment in a fast-growing company.

• Relocation support may be considered for exceptional candidates.

• Great office location in Copenhagen