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-scale data platform.

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

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

• 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.

• Develop reliable and observable data pipelines suitable for high-volume AdTech workloads.

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

• Work in collaboration with Platform Engineering teams to introduce 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 infrastructure cost-efficiency.

• Mentor engineers and promote engineering excellence within the team.

• Collaborate closely with leadership and cross-functional stakeholders.

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

• Establish the foundational data architecture, 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 proficiency in distributed data systems and high-volume event-driven architectures.

• In-depth knowledge of modern lakehouse architectures and Apache Iceberg.

• Advanced SQL proficiency.

• Experience in production environments using Python, Java, Scala, or similar programming languages.

• Familiarity with Spark, Flink, or Trino.

• Comprehensive understanding of data modeling, partitioning strategies, and performance optimization.

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

• Practical 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.

• Ability to make pragmatic architectural decisions in greenfield settings.

• Upper-Intermediate or higher level of English proficiency.

• Strong communication and technical leadership capabilities.

• Experience in AdTech or similar high-volume event-processing sectors is a plus.

• Experience in designing multi-tenant SaaS data architectures is advantageous.

• Familiarity with semantic layer technologies is beneficial.

• Experience in supporting analytics and ML/AI workloads is a plus.

• Understanding of privacy regulations and data residency requirements is advantageous.

🏝️ Benefits

• Option for remote work.

• Opportunity to contribute to large-scale international products.

• Collaboration with highly skilled professionals.

• A technically ambitious work environment.

• Long-term growth potential.