Data Engineer

Liege

Contract

Job details

Data Engineer

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

Koda Staff is working exclusively with GAMING1 to hire multiple Data Engineers (3 profiles) as part of a broader scale-up of the 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 used across the organisation. This role is well suited to engineers who care deeply about data correctness, maintainability, and long-term ownership.

The Opportunity

As a Data Engineer, you will sit at the core of GAMING1’s data ecosystem, enabling analytics, decision-making, and operational use cases through robust, scalable pipelines.

You will work closely with other Data Engineers and domain stakeholders, contributing not just code, but also strong documentation, automated data quality, and sustainable handover practices.

This is a role for engineers who want to build systems that last — and leave things better than they found them.

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 ensure long-term sustainability of solutions

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

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.

If this role aligns with your experience — or you’d like a confidential conversation to explore fit — apply directly or contact us to discuss which team and scope could be the best match.