Public summary
Seeking a Senior Data Engineer to design and operate scalable data pipelines and platforms enabling analytics and AI/ML applications, primarily using Microsoft Azure. Role involves managing large-scale scientific data, integrating simulation and laboratory systems, ensuring data quality and governance, and supporting CI/CD and cloud infrastructure. Candidates should have 3+ years experience, strong Python and SQL skills, and familiarity with advanced data technologies. English communication required; German language skills are a plus. Offers flexible work arrangements and a collaborative environment.
Location and work setup
- Location
- Hamburg
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Design, implement, and manage scalable data pipelines and platforms for structured and unstructured data; develop cloud-native and on-premises data architectures, mainly on Microsoft Azure; integrate diverse scientific datasets including simulations and lab data; ensure data quality, traceability, and governance; collaborate with cross-functional teams to translate product goals into data solutions; maintain CI/CD pipelines and infrastructure for data and AI workloads; ensure reliability, security, GDPR compliance, and cost efficiency; provide technical leadership and mentoring.
Qualifications
Degree in Computer Science, Data Science, Mathematics, Natural Sciences, or similar; minimum 3 years professional data engineering experience; expertise in designing unified data ecosystems with governance; strong skills in Python, SQL, data modeling; experience with vector databases, semantic search, LLM/AI workflows; familiarity with message brokers (RabbitMQ a plus); strong knowledge of Microsoft Azure data services and cloud technologies; understanding of DataOps, CI/CD, distributed data processing; excellent English communication; German language skills advantageous.