We’re seeking a Data Engineer to help build and advance a modern data backbone that empowers board-level and top management decision-making. In our organization, data isn’t just stored it drives strategy. Join a high-revenue company where bureaucracy is minimal and your work makes a real impact.

JOB DESCRIPTION

As our Data Engineer, you will ensure that data flows fast, clean, and reliably from sources like SAP, Google Analytics, and others, through Keboola, into scalable, well-designed data models. You won’t just move data or build dashboards you’ll create robust, automated pipelines and maintain high-quality data that truly supports business strategy.

• ETL Ownership: Manage end-to-end ETL processes, optimize pipelines in Keboola, refactor code, and improve reliability.
• Advanced SQL Development: Design, write, and debug complex SQL transformations; handle large volumes and performance-critical queries.
• Python Scripting: Integrate APIs, parse non-standard/semi-structured data, and develop custom scripts and components.
• Data Quality & Monitoring: Implement automated data quality checks, set up monitoring/alerting, and prevent business-impacting issues.
• Data Architecture Collaboration: Co-design new data flows and integrations; contribute to evolving our data platform and infrastructure.

WHAT WE EXPECT FROM YOU

• Truly understands data pipelines, automation, and data quality, not just moving data or building dashboards.
• Is proficient in SQL and Python for handling complex transformations and integrations.
• Can work with large-scale, performance-critical datasets.
• Enjoys collaborating on data architecture and improving existing processes.
• Thrives in a fast-moving, low-bureaucracy environment with room for innovation.

WE OFFER

• Real Impact: Your work directly influences logistics, inventory, and finance decisions.
• Minimal Bureaucracy: Fast decision-making, clear priorities, flexible working hours, no unnecessary corporate layers.
• Modern Technologies: Work with Keboola, Snowflake/BigQuery, Python, and a modern, scalable data stack.
• Growth & Innovation: Opportunities to introduce new approaches, automation, and shape how systems are built, not just maintained.