Koho hledáme
- Bachelor's degree in Computer science, Information Technology, or equivalent experience.
- 5+ years building data pipelines and data infrastructure, ideally in the context of GRC.
- Strong, practical SQL and Python skills, specifically for data transformation and ETL.
- A track record of building and maintaining production pipelines — not just prototypes or coursework.
- Solid grasp of relational data modelling, normalization, and performance-aware SQL design (including warehouse-style SQL such as BigQuery or Redshift).
- Hands-on experience with at least one cloud data platform (AWS, GCP, or Azure).
- Comfort with Git-based workflows and automated deployment pipelines.
- Clear thinking about data problems, expressed in clean, maintainable code.
Co budeš dělat
- Data transformation and engineering
- Design, write, and maintain high-quality SQL and Python for data transformations across development and production environments.
- Implement DDL and advanced data operations: enrichment, cleansing, parsing, normalization, and schema evolution.
- Own existing transformations and continuously improve them as data volume, variety, and complexity grow.
- Write code that is readable, testable, and maintainable, so other engineers can understand, extend, and support it.
- Platform and pipeline execution
- Work hands-on with cloud data services such as AWS (Glue, Lambda, Redshift), GCP (BigQuery, Dataflow, Cloud Functions), or equivalent platforms such as Azure Data Factory.
- Build and operate reliable, automated pipelines deployed through our Terraform-based CI/CD setup.
- Partner with platform, DevOps, and analytics teams to ensure smooth deployment, monitoring, and day-to-day operation of data workloads.
- Engineering quality and collaboration
- Apply core engineering disciplines: version control (Git), code review, and structured change management.
- Communicate clearly about data logic, assumptions, and trade-offs with both technical and non-technical stakeholders.
- Contribute to shared standards and best practices for SQL, Python, and ETL development.
- Operate with the data quality, reliability, and compliance discipline expected in a regulated enterprise environment.
O pozici
We're looking for a hands-on Data Engineer who genuinely enjoys the craft — someone who writes SQL and Python every day, takes pride in pipelines that just work, and wants their code to matter. The transformations you build here won't sit in a sandbox. They'll feed the analytics, reporting, and decisions that help protect our company.
This isn't a role for learning the fundamentals on the job. It's a role for someone who already has them and wants the space to do their best work.
Benefity
- Exciting work in a great team, global projects, international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model, flexible role pattern
- Competitive salary & incentive pay
- Pension and health insurance contributions
- Internal reward system and referral scheme
- 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
- Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card
- Vodafone, Raiffeisen Bank, Foodora, and discount programmes
- Up-to-date laptop and iPhone
- Parking in the garage, showers, refreshments, massage chairs, library, music corner
