Senior Data Engineer

• Lead design discussions around data architecture, modeling strategy, and platform evolution
• Identify opportunities to simplify and scale the data platform
• Drive improvements to data reliability, observability, and data quality
• Establish and promote best practices for data modeling, testing, and code review
• Help the team prioritize work and balance speed with technical quality
• Develop and optimize ETL processes
• Integrate data sources across the product portfolio to provide stakeholders with key information
• Mentor other data engineers
• Evaluate how business use cases fit together and fit into the product
• Determine and proactively communicate future impacts of proposed or ongoing work
• Help mitigate issues in the product and its ecosystem
• Model data and metadata for ad-hoc and pre-built reporting and BI tools
• Provide technical guidance on data platform access
• Work with engineering to integrate tracking of new functionality into the data ecosystem
• Optimize business-critical query performance
• Explain project prioritization decisions

• 7+ years of data engineering experience
• Experience with data warehouses and large-scale analytics systems, including Redshift, Snowflake, or BigQuery
• Strong experience designing and building data pipelines and data platforms
• Cloud infrastructure experience; AWS preferred
• Experience building and maintaining relational, document, key-value, and other NoSQL databases
• Advanced Python and SQL skills
• Experience working with third-party APIs for data integration
• Experience with business process automation
• Bachelor's degree or higher in a technical field, or similar combination of education and experience
• Spark and Redshift experience; PySpark preferred
• Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster
• Experience with Infrastructure as Code, including Terraform or CloudFormation
• Experience with event or streaming systems, including Kafka or similar
• CI/CD experience
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation
• Preferably based in Brno, Czech Republic

• Performance bonus opportunities and employee referral rewards
• Flexible Time Off (FTO)
• 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations
• Additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage
• Access to Coursera (including Gen AI Academy)
• Ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement
• Opportunities to travel for company events, including potential U.S. visits
• Local events, outings, and community initiatives
• Company swag
• Programs focused on wellness, learning, and connection