About the company
Sparkassen Rating und Risikosysteme (SR) is the central service provider for risk management procedures within the Sparkassen Finance Group. SR supports the institutions with standard solutions in the areas of risk measurement and management, regulatory bank management, and sales with data analytics solutions. Together with partners, SR offers institutions central and standardized solutions, from the design of procedures through their further development and IT implementation to implementation support.
Responsibilities
•You design, implement, and operate robust data pipelines and platforms to provide sales and specialist departments in the Sparkassen Finance Group with high-quality data.
•You develop and optimize ETL/ELT workflows, data warehouse and lakehouse architectures for reporting, analytics, and machine learning applications.
•You model data (e.g., according to data warehouse standards) and ensure data quality, consistency, and traceability throughout the entire data pipeline.
•You work closely with data scientists, analysts, specialist departments, and IT to gather requirements and translate them into scalable technical solutions.
•You monitor and optimize the performance, stability, and costs of data platforms and ensure a high degree of automation (e.g., CI/CD, Infrastructure as Code).
•You structure your work in JIRA, document architecture, data flows, and decisions in Confluence, and share your knowledge with the team.
Requirements
•Completed degree in (business) computer science, mathematics, physics, engineering, or equivalent knowledge acquired through professional experience and further training.
•Several years of professional experience as a data engineer, data warehouse/BI developer, or in a comparable role, ideally in banking or the financial sector.
•Experience in lateral or technical leadership, or project management with your own project team.
•In-depth knowledge of SQL and a programming language such as Python (Scala/Java also welcome), and confidence working with relational and ideally also distributed database systems.
•Experience building and operating ETL/ELT processes, data modeling (e.g., star schema, Data Vault), and working with large volumes of data.
•Practical experience with modern data platforms and technologies (e.g., Apache Spark, Kafka, cloud services such as Azure/AWS/GCP, or comparable on-premises solutions).
•Very good spoken and written German skills at C1 level.
Nice to have
•Knowledge of CI/CD, version control (Git), and container technologies (e.g., Docker, Kubernetes) is an advantage.
Benefits
•A permanent position in a highly skilled working environment with challenging tasks and an attractive compensation package.
•30 days of vacation, plus 2 bank holidays and additional special leave for special occasions.
•Company pension scheme and capital-forming benefits.
•Individual internal and external training through the company academy.
•Flexible working hours with flexitime and the option to work remotely for a genuine work-life balance.
•Company health management.
•Contribution toward a public transport pass and meal vouchers.
•Company bicycle leasing (JobRad) as an additional mobility option.
•Free current account management, including a Visa Card Gold from Berliner Sparkasse.
•Internal events: meetups, after-work events, summer parties, and Christmas parties.
•A central, modern workplace in the heart of Berlin, high above the city.
