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Senior Data Platform Engineer

Confidential company · Berlin · Posted Jul 30, 2026

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Public summary

We are seeking a Senior Data Platform Engineer to enhance and develop cloud-based data platforms supporting business analytics and insights. The role involves building scalable data pipelines, ensuring data quality, and collaborating with a data-focused team. The company is a leading fintech firm operating multiple financial services and portals, committed to innovation, diversity, and inclusive workplace culture, based in Berlin.

Location and work setup

Location
Berlin
Remote status
On-site
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Develop and improve cloud-based data platforms for analytics; build end-to-end data pipelines from ingestion to clean, structured data; implement data quality monitoring; architect, code, and deploy data infrastructure; collaborate with data engineers, analysts, and product teams; stay current with data cloud architecture advancements and share knowledge.

Qualifications

University degree in computer science, mathematics, natural sciences, or related field; several years of experience in data engineering with strong skills in building scalable and maintainable data platforms; hands-on experience with AWS or GCP and data-native services; familiarity with data warehousing and containerization tools; advanced knowledge of cloud networking and security; expertise with Infrastructure as Code; strong software engineering fundamentals including version control, CI/CD, testing, deployment, and monitoring; excellent SQL and Python skills (including Airflow and PySpark); knowledge of data streaming technologies; fluent English communication skills; German language skills are a plus; interest in finance and fintech industry.

Skills

Data platform engineering Cloud data platforms (AWS, GCP) Data pipelines Data warehousing Containerization (Kubernetes, Docker) Cloud networking & security (IAM) Infrastructure as Code Software engineering practices SQL Python Airflow PySpark Data streaming technologies (Kafka, Kinesis, Flink) English communication