Senior Data Engineer (all genders)

The software market is rapidly evolving, and our development team is always at the forefront. To strengthen our Research & Development departments, we are looking for creative minds and passionate developers who will take our cloud solutions to the next level. Our success story is written 100 percent in Germany, and at our Augsburg location, well-coordinated teams of software developers, testers, Scrum Masters, Product Owners, and Agile Coaches work on the software products of tomorrow. The only thing we are missing at the moment is you.

In addition to a great team, we offer you the opportunity to work from home, actively participate in product development, and contribute your ideas at any time.

Do what you do best:

• HELP SHAPE OUR DATA PLATFORM FROM THE GROUND UP You’ll play a key role in building our future data infrastructure and, together with the architecture, development, product management, and other stakeholders, help shape the technological foundation for data-driven decisions, products, and services
• FINDING THE RIGHT DATA ARCHITECTURE Together with us, you’ll evaluate which architecture and technologies best fit our requirements-whether an OLAP database, data lake, lakehouse, streaming platform, or a hybrid solution. You’ll leverage your experience to prepare sound decisions regarding scalability, operations, costs, performance, and future scalability
• DATA PIPELINES THAT DELIVER RELIABLY You design, develop, and operate robust, scalable, and maintainable data pipelines-from connecting various data sources through transformation and validation to delivery for analytics, product, and AI use cases
• DATA ENGINEERING WITH PRODUCTION-GRADE STANDARDS You approach data engineering like professional software development: automated, tested, versioned, monitorable, documented, and reliable in operation. In doing so, you set standards for quality, security, governance, and traceability of our data flows
• BUILDING TEAMS You’ll have the opportunity to actively shape our data engineering landscape in close collaboration with product owners, software development, DevOps, cloud architecture, and other stakeholders
• SHARE YOUR SUCCESSES You’ll bring your experience to the team and beyond, establish best practices, and help others make data secure, efficient, and useful
• HAVE FUN You’ll find your place in our diverse and collaborative environment and enjoy helping to shape a new area of focus, taking on responsibility, and growing alongside us

Do you have experience in Scala?, Do you have a Master’s degree?, * A degree in computer science, business informatics, data engineering, or a comparable qualification gained through practical experience

• At least 5 years of experience in building, developing, and operating production-ready data platforms, data pipelines, or analytical systems
• Strong proficiency in at least one relevant programming language for data engineering, e.g., Python, Scala, Java, C#
• Solid experience with SQL, data modeling, and performance optimization in analytical or data-intensive systems
• Experience with modern data architectures and platforms, e.g., data lakes, data lakehouses (e.g., open table formats (Iceberg, Hudi, Delta Lake), query engines (Trino, Azure Synapse)), data warehouses, OLAP databases (e.g., ClickHouse, Apache Doris, Apache Druid), or column-oriented systems
• Experience in the design and operation of batch and, ideally, streaming data pipelines
• Strong understanding of observability, monitoring, alerting, data quality, testing, schema evolution, lineage, and governance in production data platforms
• Ability to communicate technical concepts clearly to various stakeholders
• Team-oriented personality with high standards for quality, analytical thinking, and a passion for building out a new area of expertise within the company, establishing standards, and actively sharing knowledge
• Very good English skills; German skills are a plus
• Bonus: Experience with data-intensive product, telemetry, analytics, or AI use cases-particularly in building data platforms that can also be used for machine learning, LLM/RAG scenarios, or data-driven product development, We believe in values and live them: togetherness and trust. Courage, enthusiasm, and competence. Our communication culture is open and honest. Just like the regular team feedback sessions.