S Rating und Risikosysteme GmbH | Germany | 10xxx, 14xxx, 13xxx, 12xxx Berlin | Permanent position | Full time / Home office | Published since: 21.08.2026 on stepstone.de
Senior Data Engineer – Banking / Data Analytics Personalisierung (m/f/d)
The Savings Banks Rating and Risk Systems (SR) is the central service provider for risk management procedures in the Savings Bank Financial Group. We support institutes with standard solutions in the areas of risk measurement and control, regulatory banking control and data analytics solutions. Together with our partners, we offer the institutes, from the conception of procedures, their further development, IT implementation and implementation support, central and standardized solutions. Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalization from now on we are looking for customer information
* After clicking the Read more button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the Show full translation button.
Your tasks • Your profile • What we offer
You design, implement and operate robust data pipelines and platforms to provide high-quality data to sales and specialist areas in the Sparkassen financial group You develop and optimize ETL/ELT streams, data warehouse and (Lakehouse) architectures for reporting, analytics and machine learning applications You model data (e.g. according to DWH standards) and ensure data quality, consistency and traceability along the entire data path You work closely with Data Scientists, Analyst:inside, specialist departments and IT to meet requirements and translate them into scalable technical solutions You monitor and optimise performance, stability and costs of the data platforms and ensure a high level 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 in the team
Complete study of (economic) informatics, mathematics, physics, engineering or equivalent knowledge acquired through professional experience and training Multiannual professional experience as Data Engineer, DWH/BI developer:in or in a comparable role, ideally in the banking environment or in the financial sector Lateral / professional leadership experience or project management with own project team Finded knowledge in SQL as well as a programming language such as Python (even Scala/Java) and safe handling of relational and ideally distributed database systems Experience in building and operating ETL/ELT processes, in data modeling (e.g. Star Schema, Data Vault) and in handling large amounts 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-premise solutions) Knowledge of CI/CD, version management (Git) and container technologies (e.g. Docker, Kubernetes) are advantageous Very good knowledge of German in word and writing on C1 level
An unlimited activity in a highly experienced working environment with demanding tasks and an attractive compensation package 30 days holiday + 2 bank holidays and additional special holidays for special occasions Occupational pensions and benefits Individual internal | external training via our Academy Flexible working hours with sliding time and option for mobile work for a real work-life balance Operational health management Payment to the job ticket and food vouchers Service bike leasing (JobRad) as an additional mobility offer Free current account management incl. Visa Card Gold at the Berliner Sparkasse Interne Events: Meet-Ups, Afterworks, Summer and Christmas Festivals Central and modern workplace in the heart and over the roofs of Berlin
Location
![]() | S Rating und Risikosysteme GmbH | |
| 10117 Berlin | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
For more information read the original ad