Principal Data Platform Engineer – Swedish Ad Platform

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

• Lead the technical design and architecture of a modern enterprise-scale data platform.

• Define scalable data flows transitioning from Iceberg-based event storage into analytical and operational data products.

• Evaluate and select technologies for orchestration, transformation, querying, serving, and storage solutions.

• Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains.

• Establish scalable engineering patterns for both batch and near-real-time processing.

• Build reliable and observable data pipelines capable of handling high-volume AdTech workloads.

• Implement data quality, lineage, observability, and reconciliation capabilities.

• Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards.

• Define strategies for tenant isolation, access control, and regional data boundaries.

• Establish standards for testing, deployment automation, schema evolution, and versioning.

• Optimize platform performance, scalability, and infrastructure costs.

• Mentor engineers and contribute to engineering excellence across the team.

• Partner closely with leadership and cross-functional stakeholders.

• Deliver the first production-ready version of the platform.

• Establish the initial production data foundation, including documented architectural decisions, enforceable event contracts, tested canonical entities, and observable data quality and lineage.

⛳️ Requirements

• 8+ years of experience in designing and operating production-grade data platforms.

• Strong expertise in distributed data systems and high-volume event-driven architectures.

• Deep understanding of modern lakehouse architectures and Apache Iceberg.

• Advanced SQL skills.

• Production experience with Python, Java, Scala, or similar programming languages.

• Experience with Spark, Flink, or Trino.

• Strong knowledge of data modeling, partitioning strategies, and performance optimization techniques.

• Proven experience in building both batch and near-real-time data pipelines.

• Hands-on experience with AWS cloud infrastructure.

• Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability.

• Experience implementing data contracts, schema evolution, and data quality frameworks.

• Ability to make pragmatic architectural decisions in greenfield environments.

• Upper-Intermediate or higher level of English proficiency.

• Strong communication and technical leadership skills.

🏝️ Benefits

• Remote work options available.

• Long-term growth potential.

• Opportunity to work on large-scale international products.

• Collaboration with highly skilled professionals.

• A technically ambitious environment.