DATA ENGINEER (LIEGE-BELGIUM)

Gaming1; Abée; On-site; EUR 52,000 - 70,000; Full time

Job summary

Gaming1 in Belgium is seeking a Data Engineer to build reliable, scalable data products that support decision‑making across the company.

You will design, develop and operate data pipelines and models using SQL and PySpark, create dimensional models for analytics, and own data quality from source to reporting in a gaming environment, sharing knowledge in the Git repository to help teams trust data.

Qualifications

• Strong SQL skills with ability to write and optimise complex queries.
• Experience with PySpark (or Python) in data engineering.
• Solid data modelling knowledge including Kimball-style star schemas.
• 3–6 years of hands-on data engineering experience with end-to-end ownership.
• Collaborative mindset, clear communication, and comfort in gaming industry.
• Professional English.

Responsibilities

• Build data products: design and develop pipelines and models in SQL and PySpark.
• Model data: create clear dimensional models for analytics and Power BI usage.
• Own quality: implement tests, investigate failed loads, improve reliability.
• Improve existing pipelines: tune jobs, evolve schemas, reduce costs.
• Share knowledge: document work in Git for maintainability.

Skills

SQL

PySpark

Data modelling

ETL pipelines

English

Collaboration

Tools

Power BI

dbt

Airflow

Job description

Gaming1 is looking for a Data Engineer to help us build reliable, scalable data products that support decision‑making across the company while offering you a transparent career ladder and support to grow into your next role.

We use a data mesh approach: domains are accountable for their data, while shared platforms, standards and engineering practices help make it trusted and reusable. As part of the Data Engineering team, you will design, build and operate the data products and models that analysts and business teams rely on.

YOUR ROLE

• Build data products: design and develop pipelines and models in SQL and PySpark, from ingestion to analytics-ready tables.
• Model data: create clear dimensional models that analysts and Power BI reports can use directly.
• Own quality: implement tests based on business rules, investigate failed loads and improve reliability.
• Improve what exists: tune jobs, evolve schemas and pipelines, reduce compute costs, and leave the codebase better than you found it.
• Share knowledge: document your work in the project’s Git repository so it is easy to understand, maintain and reuse.

YOUR PROFILE

Must have:

• Strong SQL skills and the ability to write and optimise complex queries.
• Experience with PySpark (or Python) in a data-engineering context.
• Solid data-modelling knowledge, including Kimball-style star schemas.
• Around 3–6 years of hands‑on data‑engineering experience, with the autonomy to own work from source to reporting‑ready data.
• A collaborative mindset, clear communication skills and comfort working in the gaming industry.
• Professional English.

Nice to have:

• Power BI experience, including semantic modelling, reporting or governance.
• Experience working in a data-mesh or other decentralised data organisation.
• Airflow or a similar orchestration tool.
• Automated data‑quality testing, such as Great Expectations, Soda or dbt tests.