Principal Data Platform Engineer – Swedish Ad Platform

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

📋 Description

• Oversee the technical design and architecture of a contemporary enterprise-level data platform.

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

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

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

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

• Construct reliable and observable data pipelines to handle high-volume AdTech workloads.

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

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

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

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

• Enhance platform performance, scalability, and reduce infrastructure costs.

• Mentor engineers and promote engineering excellence within the team.

• Work closely with leadership and cross-functional stakeholders.

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

• Establish a production data foundation, document architectural decisions, enforceable event contracts, tested canonical entities, and observable data quality and lineage within the first six months.

⛳️ Requirements

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

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

• Profound understanding of modern lakehouse architectures and Apache Iceberg.

• Advanced SQL capabilities.

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

• Familiarity with Spark, Flink, or Trino.

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

• Proven track record in building batch and near-real-time data pipelines.

• Hands-on experience with AWS cloud infrastructure.

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

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

• Capability to make practical architectural decisions in greenfield projects.

• Upper-Intermediate or higher proficiency in English.

• Excellent communication and technical leadership skills.

• Experience in AdTech or similar high-volume event-processing fields (an advantage).

• Experience in designing multi-tenant SaaS data architectures (an advantage).

• Familiarity with semantic layer technologies (an advantage).

• Experience supporting analytics and ML/AI workloads (an advantage).

• Understanding of privacy regulations and data residency requirements (an advantage).

🏝️ Benefits

• Full-time employment.

• Option for remote work.

• Opportunity to engage with large-scale international products.

• Collaboration with highly skilled professionals.

• Long-term growth opportunities.

• Chance to contribute to a technically ambitious environment.