Data Engineer - Group Data Platform

Our company is building a Global Data Platform that serves the whole Group and powers its next stage of growth. We're looking for a Data Engineer to join one of the key teams shaping how data is built, moved and governed across the organization. This isn't a maintenance role. Standards, tooling and best practices for our data ecosystem are still being defined - and you'll be one of the people defining them, not just following a playbook someone else wrote.

Address: Na Florenci 2116/15
Required education: School-leaving exam
Required languages: English (advanced), Czech or Slovak is highly beneficial
Employment form: Full-time work

What will be your responsibilities?

• Design, build and optimize data pipelines and integrations on our Azure-based Lakehouse (Databricks, Delta Lake, Spark).
• Help define and gradually unify engineering standards across the Group's data teams (CI/CD for Azure Functions, deployment practices, code conventions).
• Work on performance and cost optimization - z-ordering, partitioning, caching, vacuuming, and generally taming PySpark.
• Collaborate with data engineers from other country teams and vendors to keep development from becoming siloed.
• Take part in DevOps/DataOps practices - automating build, test and deployment of data solutions.
• Contribute to architecture and design discussions for new data components and large-scale data integrations.

What do we expect from you?

• 3+ years of hands-on experience in data engineering - building and running pipelines in production, not just prototypes. (Less experience but strong fundamentals? Talk to us - we're open to a mid-level fit too.)
• Solid experience with the MS Azure data stack - Databricks, Delta Lake, Spark; familiarity with Data Factory, Event Hub or Synapse is a plus.
• Comfortable with PySpark and thinking about pipelines in terms of performance and cost, not just correctness.
• Understanding of core data concepts: pipelines, ETL/ELT, data modeling, APIs.
• A proactive, collaborative mindset - you're happy to propose a better way of doing things, and equally happy to hear why yours might not be it.
• Ability to work independently in a still-evolving environment, without needing every process pre-defined.
• Fluent English - you'll regularly work with colleagues across multiple countries.

Nice to have

• Experience with data visualization tools (Power BI, Tableau, …).
• Exposure to advanced analytics / ML / predictive analytics.
• Experience working in both project-based and agile setups.
• Retail or pharma domain experience.
• A DataOps mindset - thinking about data delivery the way you'd think about software delivery.

What do we offer?

• A fast-growing, genuinely international data & digital environment with real impact at the European level.
• The chance to help shape how a major European retail group works with data - not just execute on someone else's blueprint.
• A team that values sharing knowledge over working in silos.
• Modern cloud data platform and architecture, no legacy baggage holding you back.
• Room to grow - both technically and into broader ownership over time.
• Flexibility: A flexible working environment tailored to modern standards.
• Package: Discounts in pharmacies, fully paid Multisport Card, meal vouchers, contribution for Lítačka etc.

If you are interested in this opportunity, please send your CV to [email protected]