Jobs in Valenciennes, France
Responsable technique terrain turbine à valeur
Skayl
Discover more opportunities than anywhere else. Find more jobs nowBodyshop Network Support Manager
Glen Callum Associates Ltd
Work Remotely & Travel in Greece (Relocation Support Available)!
FH Collective Academy
Connect with headhunters to apply for similar jobsDevenez Évaluateur / Évaluatrice de Marques de Luxe à Paris
CXG
Comptable copropriete - Annecy (H/F)
LABORD CONSULTANTS
Ophtalmologue en tÃlÃconsultation H/F - 130E/heure - Strasbourg 67
Annonces Medicales - Capijob
Research engineer Statistical analysis of longitudinal medical data
France Life Imaging
Consultant.e Junior en Transformation Digitale - Future of Work : Décryptage des innovations du[...]
Wavestone
PayTrip recrute pour soutenir sa croissance
Electronique Mag
Southern Europe Sales Leader - Industrial Energy Storage
KRAFTBLOCK
Femme / Homme de ménage indépendant chez particuliers (H/F)
WECASA
Data Engineer
Job summary
A dynamic gaming technology company is seeking a data engineer to build and optimize scalable data pipelines. The role emphasizes data reliability, impactful analytics, and supports both remote and in-office settings in Bratislava. Candidates should have strong experience with SQL, Python, and data orchestration tools. Benefits include unlimited vacation, quarterly bonuses, and a focus on personal growth.
Benefits
Qualifications
- 4+ years building production data systems, with experience in shipping, breaking, and fixing pipelines.
- Strong SQL and Python programming skills.
- Experience with OLAP systems and BI tools.
- Knowledge of ETL/ELT orchestration and CI/CD for data.
Responsibilities
- Build scalable pipelines for gameplay and promo analytics.
- Model data for decisions used by the Product and Finance teams.
- Ensure data reliability through tests and monitoring.
- Optimize ETL processes for speed and cost.
Skills
Tools
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.
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.
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.
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.
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.
Python, SQL, Airflow/Prefect, Kafka, ClickHouse/OLAP DBs, AWS (S3 + friends), dbt, Redash/Power BI/Tableau, Docker/K8s, GitHub Actions.
👉 If you know how to make data boringly reliable and blisteringly fast — hit apply and let’s talk.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.