Senior Data Engineer

This job ad was AI-translated from German. See original What to expect

• Design and implementation of a scalable, domain-independent data infrastructure on the Google Cloud Platform (GCP) using technologies such as BigQuery, Iceberg, Apache Beam, Spark, and Airflow
• Development of reusable blueprints and templates so that engineering teams can build, operate, and maintain data ingestion, data transformations, and data quality checks
• Close collaboration with engineering teams in the introduction of data products and the development of complex data models (snowflake models) for their business domains
• Conducting workshops and training sessions to educate domain teams on the use of our data platform and best practices (including ETL/ELT and orchestration tools)
• Integration of data catalogue tools as well as support in building a federated data governance structure to ensure corporate policies and regulatory requirements
• Continuous development of the data architecture through feedback from business units and monitoring of new technological trends, Sercan Ugur is happy to assist you with any questions., * You create your profile in our career portal and apply directly online for the advertised position.
• You will immediately receive a confirmation of receipt and within a maximum of 10 working days you will receive feedback on the next steps.
• While you show us your patience, we take personal time to review your application and define the next steps.
• Your documents convince us, then we get to know each other via live video call or in a personal interview.
• The "match" is mutually confirmed. Then we go into the second interview round where you get to know your future workplace and the team.
• YES - we have decided on each other! The employment contract will be sent to you digitally and after signing the contract you will receive access to our internal communication channels and at the same time we prepare your onboarding process.

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• Completed studies (Bachelor or Master) in computer science, data science, information systems, or a comparable field
• At least 5 years of professional experience in data engineering or a similar role with a focus on cloud platforms (preferably GCP)
• Proven experience in building data platforms, data lakehouses, or data warehouses as well as knowledge of data mesh principles
• Very good knowledge of technologies such as BigQuery, GCS, Apache Beam, Spark, Airflow, Kafka, and data catalogue tools
• Experience in building and implementing data governance frameworks as well as working in agile environments (Scrum, Kanban)
• Strong communication and teamwork skills as well as the ability to work cross-functionally
• Analytical and strategic thinking combined with high initiative
• Very good German and English skills, both spoken and written

"Together we shape the trade of tomorrow" Brack.Alltron employs around 1300 people and generates over one billion in revenue. The company exists because one person had the courage to find new ways and to take them. Our success story shows that through each individual, something great is created together and we love our uniqueness. We set ambitious goals, and it is very important to us that we act responsibly, support and challenge each other, and enjoy what we do every day. Our hiring process