Remote job
Data Engineer (m/f/d)
Job details
About this role
Role overview Build and operate a modern data platform, shaping its architecture, pipelines, quality controls, and support for AI and machine learning use cases. The role combines hands-on engineering with ownership of production systems and collaboration with business, platform, risk, and compliance teams.
Responsibilities - Operate and develop a Databricks-based platform, including its workspaces, jobs, and permissions. - Build ETL and ELT pipelines that connect data from banking, treasury, payments, export finance, and other sources. - Design data lake and lakehouse structures, scalable data models, and automated quality checks. - Set up monitoring and alerts for pipeline failures, latency, and other operational issues. - Document data flows and lineage, and support data classification, access controls, and regulatory needs. - Prepare data and interfaces for AI and MLOps use cases, working with business and technical partners.
Requirements - Several years of experience in data engineering and building production data platforms. - Strong knowledge of Databricks, SQL, and modern ETL and ELT practices. - Experience with data lake or lakehouse architectures, data modeling, and data quality. - Experience using infrastructure as code in cloud environments; Azure or AWS knowledge is useful. - Familiarity with monitoring, error handling, and operating production pipelines. - Strong communication skills and English proficiency at C1 level.
Nice to have Experience in banking or finance, or familiarity with Power BI, DORA, SFTP, or AI and machine learning data pipelines.
Benefits and work setup The role offers substantial input into the design of a data platform being built from the ground up. Work is largely flexible and remote within Germany, with attendance at key meetings or workshops as needed. Other stated offerings include up to four weeks of workation, an occupational pension with a 50% employer contribution, and individual training and language learning. German and English are used in the international working environment.