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.

Popis pozice:

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 a 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.

Profil kandidáta:

• 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.

Nabízíme:

• 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 a Innovation: Opportunities to introduce new approaches, automation, and shape how systems are built, not just maintained.