Data & Platform Engineer (m/f/d)
Berlin, Germany
About the role
Company description We are looking for a collaborator for the Cloud and Data Engineering specialist area. The classification according to the TV-N Berlin collective agreement is based on professional experience. What you will love about us We are the beating heart of Berlin! We think about the mobility of tomorrow today and shape our capital sustainably with you. For people and the climate, with heart and reason. ✓ future-proof job ✓ work-life balance (flexible working hours with time-off compensation, up to 10 days of mobile work per month) ✓ 30 days of vacation + 24.12. off ✓ €2,100 Christmas bonus and €500 vacation bonus per year as well as €350 for our health portal in 2026 (including sports courses, massages) ✓ personal transport ticket ✓ company pension scheme (VBL) ✓ capital-forming benefits (VL) Job description The Cloud and Data Engineering specialist area is responsible for the strategic development as well as the operation of cloud and data platforms across the company. It continuously develops modern cloud services, container platforms, and data engineering solutions, and ensures a high-performance, secure, and future-oriented IT landscape. It thus creates the basis for efficient data usage and the digital transformation of the BVG. Your tasks in detail: ✓ You are responsible, together with your team, for the setup, operation, and continuous development of the company-wide data platform on Microsoft Azure, with a focus on Azure Databricks, modern Lakehouse architectures, and Microsoft Fabric ✓ Within the framework of central Data Engineering, you develop and operate ETL/ELT processes with Spark, Python, and SQL, integrate data from the most diverse source and specialist systems, and ensure their reliable, high-performance processing in compliance with quality requirements ✓ Together, you ensure stable, secure, and economical operation of the data platform and advance the automation of deployments, tests, and operational processes via CI/CD pipelines and Infrastructure as Code ✓ You work closely with specialist departments on data-driven projects, advise on data usage, and support the implementation of business requirements ✓ Establishing standards and best practices in Data Engineering, as well as ensuring and complying with governance, data protection, and security requirements, complete your tasks Qualifications ✓ university degree* in computer science, business informatics, or business administration or equivalent skills and knowledge based on long-term professional experience in the field of data science / data engineering / business analysis ✓ several years of experience in setting up, operating, and developing modern data platforms on Microsoft Azure as well as in-depth knowledge of Azure Databricks, Apache Spark, and Data Lakehouse architectures ✓ very good knowledge of SQL and Python as well as practical experience in the development and optimization of ETL/ELT processes, data integrations, and scalable data solutions ✓ experience in operating business-critical platforms, in collaborating with specialist departments as well as with DevOps/DataOps practices, CI/CD pipelines, and data governance requirements ✓ very good knowledge of German (minimum C1 language level) and secure knowledge of technical English in spoken and written form In addition, we look forward to ✓ experience with Microsoft Fabric, Power BI, and self-service analytics solutions ✓ knowledge of machine learning, MLOps, generative AI, or infrastructure as code solutions (e.g., Terraform) ✓ an analytical and solution-oriented way of working as well as enjoyment in collaborating with specialist departments and interdisciplinary teams *Are you missing the university degree? Apply anyway. We will be happy to clarify in a personal interview what this means for your...