6 months
18/05/2026 - 30/11/2026 Belgium
Requirements
Roles
  • Business Intelligence (BI) Engineer Senior
Languages
  • Dutch Nice to have
  • French Full professional proficiency
  • English Full professional proficiency
Skills
  • • Python Expert
  • • SQL (advanced !) Expert
  • • AWS (Glue, S3, Redshift) Expert
Description

Thank you for not contacting Athora directly. You can reach out to ProUnity via info@pro-unity.com.   

Do NOT try and contact the Hiring Manager directly please.  It is not appreciated.  

Only the applications that meets’ Athora’s predefined criteria (skills, work experience, language skills and availability) in this job post will be considered. If the above is not respected, Athora and/or ProUnity reserves the right to reject the candidate.   

In attachment you can find different annexes part of the Framework Agreement of Athora. When proposing (a) candidate(s) you confirm you accept the conditions being part of the Framework Agreement. 

 

MISSION DESCRIPTION & CONSULTING PROFILE

 

Description of The Mission

Title of the mission:

Data Engineer in the IT Front Data Team

Goal of the mission:

Support the projects: Transparency, Arizona, Verdi and BAU support tasks in the area of IT Front Data Management & Engineering

Expected deliveries:
  • Data Pipelines
  • Data Modelling & Storage
  • Complex SQL Qeuries
  • Tune SQL and jobs
  • Maintain existing jobs, fix failures, manage changes/releases, and support new onboardings.

Expected role & responsibilities during the mission:
  • Building and operating the data foundation that analytics, reporting depend on.
  • Build, maintain, and optimize batch/streaming pipelines (ingestion → transformation → serving
  • Design schemas and models (e.g., dimensional, Data Vault), and manage & interrogate data lakes/warehouses (e.g. S3/ADLS + Redshift)
  • Handle incident troubleshooting/root-cause analysis
  • Orchestration & Automation
  • Stakeholder collaboration

 

Description of The Expected Profile

Knowledge:

SQL (advanced), Python, AWS (Glue, S3, Redshift)

Competencies:

Strong experience building and maintaining large-scale data pipelines and optimizing complex queries across big datasets. Hands-on Data Engineering, ETL/ELT pipelines, data ingestion, transformation, optimization, debugging & incident resolution.

Proven experience and ability working with project managers, business – and functional analysts, and source-system owners to clarify requirements and deliver datasets/data products.

Mindset:

Positive mindset including a will-can-do mentality, ability to work independently and manage / prioritize his/her own work. Efficient and transparent communicator, teamplayer. Demonstrate a proactive attitude.

Seniority expected:

Senior

Years of Experience:

10 yr +