Data Engineer

Koda Tech; Luik; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Koda Tech is seeking a Data Engineer for a Liege-based client to join the team on a 12-month contract.

The role focuses on building cloud data pipelines, ensuring data quality, and collaborating with the Migration Expert and data owners to ensure smooth handovers through documentation and shared workflows.

The position is hybrid with two days on-site and requires English language proficiency.

Qualifications

• 3+ years building cloud data pipelines with solid SQL, Python/PySpark and PowerBI.
• Demonstrated experience implementing idempotent/merge based ingestion patterns.
• Familiarity with automated testing frameworks for data.
• Strong soft skills: mentoring, documentation, willingness to “leave the campsite cleaner”, collaborative mindset.

Responsabilités

• Capability Focused QA – Implement data quality tests that reflect business rules and technical tests.
• Collaboration & Handover – Pair program with the cluster’s existing Data Engineer, document steps (readme.md, Confluence) and conduct knowledge transfer sessions.
• Performance Tuning – Optimize jobs and implement data contracts; surface schema tweaks that reduce long-term compute.
• Issue Resolution – Quickly investigate failed loads or QA breaches and coordinate fixes with the Migration Expert and source system owners.

Connaissances

SQL

Python/PySpark

PowerBI

Data pipelines

Data quality testing

Mentoring / Documentation

Outils

AWS

Description du poste

One of our valued clients based in Liege is looking for Data Engineer to join their team.

12 month contract (open to permanent)

Based in Liege

Hybrid working - 2 days a week onsite

English speaking only

The role:

• Capability Focused QA – Implement data quality tests that reflect business rules of that capability (completeness, thresholds, referential checks) and technical tests.
• Collaboration & Handover – Pair program with the cluster’s existing Data Engineer, document every step (readme.md, Confluence), and conduct knowledge transfer sessions before roll off.
• Performance Tuning – Optimize jobs and implement data contracts; surface schema tweaks that reduce long-term compute.
• Issue Resolution – Quickly investigate failed loads or QA breaches and coordinate fixes with the Migration Expert and source system owners.

I have listed the requirements for this role below:

• 3 + years building cloud data pipelines with solid SQL, Python/PySpark and PowerBI. Worth noting that they have an AWS cloud environment (not mandatory)
• Demonstrated experience implementing idempotent/merge based ingestion patterns.
• Familiarity with automated testing frameworks for data.
• Strong soft skills: mentoring, documentation, willingness to “leave the campsite cleaner”, collaborative mindset.