Data Engineer

Location: Liège (Hybrid)
Contract: Freelance or Permanent
Language: English

Koda Staff is working exclusively with GAMING1 to hire 3 Data Engineers as part of a broader scale-up of its data platform and analytics capabilities.

Each Data Engineer will play a key role in designing, building, and optimising reliable, high-quality data pipelines and data products that support analytics, operational decision-making, and long-term platform scalability across the organisation.

This is an opportunity to join a business investing heavily in its data capabilities, working alongside experienced Data Engineers in a collaborative, product-oriented environment.

The Opportunity

As a Data Engineer, you will sit at the core of GAMING1’s data ecosystem, enabling teams across multiple business domains through trusted, scalable, and well-engineered data solutions.

You will contribute not just code, but also strong documentation, data quality practices, performance optimisation, and sustainable handover — ensuring solutions remain robust and maintainable over time.

Your Mission

• Design, build, and maintain reliable data pipelines and data products
• Ensure data quality through automated, business-aligned validation
• Improve performance, cost efficiency, and maintainability of data workloads
• Collaborate closely with peers to strengthen GAMING1’s long-term data capabilities

Key Responsibilities

Data Quality & Validation

• Implement data quality tests aligned with business rules (completeness, thresholds, referential integrity)
• Build technical validation tests to ensure pipeline robustness
• Proactively identify and prevent data quality regressions

Data Engineering & Performance

• Design and optimise cloud-based data pipelines
• Implement idempotent and merge-based ingestion patterns
• Introduce data contracts and performance improvements
• Identify schema and pipeline changes that reduce compute cost and operational overhead

Collaboration & Knowledge Transfer

• Collaborate with domain Data Engineers and relevant stakeholders
• Document solutions clearly (e.g. README files, Confluence)
• Run structured knowledge-transfer sessions before roll-off
• Ensure solutions are understandable, maintainable, and owned long-term

Incident & Issue Resolution

• Investigate failed loads or data quality breaches quickly
• Coordinate fixes with relevant technical and business stakeholders
• Contribute to continuous improvement of monitoring and alerting

Experience & Skills

Technical Background

• 3+ years of experience building cloud-based data pipelines
• Strong SQL and Python / PySpark skills
• Experience with Airflow or similar orchestration tools
• Familiarity with idempotent or merge-based ingestion patterns
• Experience with data quality frameworks such as Great Expectations or Soda

Ways of Working

• Strong documentation and knowledge-sharing mindset
• Collaborative, team-oriented approach
• Willingness to mentor others and support collective ownership
• Pride in building sustainable, production-grade data systems

What Success Looks Like

• Reliable, trusted data pipelines used across teams
• Fewer data quality incidents and faster resolution when issues occur
• Well-documented solutions that are easy to maintain and extend
• Strong collaboration within the data engineering community

Interested in learning more?

Koda Staff is managing this search exclusively on behalf of GAMING1.

As part of a wider scale-up, we are currently hiring 3 Data Engineers across multiple product domains.

If the role aligns with your experience, or you’d like to explore fit and scope in more detail, applications and confidential conversations are welcome.