Senior Data Engineer (all genders)

About Us

baramundi software is a leading innovator in the field of Unified Endpoint Management and provides companies and organizations with efficient, secure, and cross-platform management of their workstation and mobile environments. Over 5,000 customers worldwide of all sizes and from every sector benefit from the German manufacturer's many years of experience and outstanding products.Since our founding in 2000, we have been developing and distributing innovative endpoint management software and services made in Germany. Our core product is the baramundi Management Suite. Currently, administrators in nearly 5,500 medium-sized companies and organizations worldwide use it to manage nearly 3.5 million endpoints securely and efficiently.

More than 300 employees currently work at our headquarters in Augsburg and in Austria, Switzerland, the USA, the UK, Poland, and Italy, and they look forward to meeting you!

What We're Looking For

• 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

What You'll Do

• 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

Benefits

• Onboarding buddy
• Welcome breakfast
• Fully equipped workplace
• Free coffee, fruit, and drinks
• Mail and package handling
• Monthly team pizza and chat
• Open and honest communication culture
• Regular team feedback sessions
• Success bonuses
• Christmas bonuses
• Company pension plans
• Team events
• Flexible working hours
• Home office
• Sabbatical options
• Ergonomic furniture
• Health days
• Massages
• Yoga
• Running groups
• Personal and professional advancement support
• Payment for training and coaching during working hours
• Possibility of two-year work stays at our branch in the USA
• Daycare subsidies
• Holiday care
• Family summer festival
• Honest feedback is valued