Data Engineer
Role Overview
As a Data Engineer at Playson, you will build and maintain scalable data pipelines to support gameplay and analytics. This senior-level role involves optimizing ETL processes, ensuring data quality, and partnering with product owners and analysts to drive key performance indicators. You will play a crucial role in making data reliable and impactful for decision-making across the organization.
Perks & Benefits
Playson offers a fully remote work environment, accommodating EU-friendly time zones, and the option to work from their Bratislava office. Employees enjoy unlimited vacation, paid sick leave, and quarterly performance bonuses, fostering a culture of real ownership and impact without micromanagement. There is also a budget for conferences and professional growth, promoting a product-led culture.
Full Job Description
🎯 What You’ll Actually Do
Build and run scalable pipelines (batch + streaming) that power gameplay, wallet, and promo analytics.
Model data for decisions (star schemas, marts) that Product, BI, and Finance use daily.
Make things reliable: tests, lineage, alerts, SLAs. Fewer surprises, faster fixes.
Optimize ETL/ELT for speed and cost (partitioning, clustering, late arrivals, idempotency).
Keep promo data clean and compliant (PII, GDPR, access controls).
Partner with POs and analysts on bets/wins/turnover KPIs, experiment readouts, and ROI.
Evaluate tools, migrate or deprecate with clear trade-offs and docs.
Handle prod issues without drama, then prevent the next one.
🧠 What You Bring
4+ years building production data systems. You’ve shipped, broken, and fixed pipelines at scale.
SQL that sings and Python you’re proud of.
Real experience with OLAP and BI (Power BI / Tableau / Redash — impact > logo).
ETL/ELT orchestration (Airflow/Prefect or similar) and CI/CD for data.
Strong grasp of warehouses & lakes: incremental loads, SCDs, partitioning.
Data quality mindset: contracts, tests, lineage, monitoring.
Product sense: you care about player impact, not just rows processed.
✨ Nice to Have (tell us if you’ve got it)
Kafka (or similar streaming), ClickHouse (we like it), dbt (modular ELT).
AWS data stack (S3, IAM, MSK/Glue/Lambda/Redshift) or equivalents.
Containers & orchestration (Docker/K8s), IaC (Terraform).
Familiarity with AI/ML data workflows (feature stores, reproducibility).
iGaming context: provider metrics bets / wins / turnover, regulated markets, promo events.
🔧 How We Work
Speed > perfection. Iterate, test, ship.
Impact > output. One rock-solid dataset beats five flaky ones.
Behavior > titles. Ownership matters more than hierarchy.
Direct > polite. Say what matters, early.
🔥 What We Offer
Fully remote (EU-friendly time zones) or Bratislava if you like offices.
Unlimited vacation + paid sick leave.
Quarterly performance bonuses.
No micromanagement. Real ownership, real impact.
Budget for conferences and growth.
Product-led culture with sharp people who care.
🧰 Our Day-to-Day Stack (representative)
Python, SQL, Airflow/Prefect, Kafka, ClickHouse/OLAP DBs, AWS (S3 + friends), dbt, Redash/Tableau, Docker/K8s, GitHub Actions.
👉 If you know how to make data boringly reliable and blisteringly fast — hit apply and let’s talk.
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