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Data Engineer

Apollo Solutions ‱ 🌐 In Person

In Person Posted 1 day, 9 hours ago

Job Description

We’re looking for an experienced Data Warehouse Engineer (freelancer) to join a leading telecommunications and digital services company in Brussels. You’ll help implement an enterprise-wide data warehouse blueprint and shape a modern, scalable data platform built on Data Vault 2.0 principles.

This is a long-term freelance role within a dynamic, forward-thinking data team, driving the delivery of high-impact analytics solutions.

Logistics

Position:

Freelance Data Warehouse Engineer

Duration:

12-month contract (with potential extension)

Day Rate:

Competitive

Location:

Brussels, Belgium (Hybrid – 2–3 days onsite)

Start Date:

Mid-November 2025

Core Responsibilities

Implement prioritised business use cases based on the enterprise data warehouse blueprint.

Develop and maintain a

Data Vault-based

warehouse using

VaultSpeed

or similar tools.

Write and optimise complex

SQL

queries for data processing and reporting.

Ensure adherence to governance, quality, and security standards.

Collaborate with

Data Engineers, Architects, and business stakeholders

to bring the reference architecture to life.

Troubleshoot and resolve data ingestion and transformation issues.

Essential Skills \& Experience

Proven experience as a

Data Warehouse Engineer

or similar.

Strong

Data Vault modelling

and implementation skills.

Advanced

SQL

proficiency (tuning, joins, window functions).

Solid understanding of

ETL/ELT

and data integration patterns.

Hands-on experience with

Snowflake, Azure Synapse, BigQuery

, or

Redshift

.

Strong analytical and problem-solving mindset; experience in

Agile/Scrum

environments.

Nice to Have

Experience with

VaultSpeed

or other automation tools.

Familiarity with

GCP

,

CI/CD pipelines

, and

data governance frameworks

.

Exposure to

BI tools

such as Power BI or Tableau.

Why Join?

Join a major enterprise data transformation using cutting-edge

Data Vault methodologies

. You’ll collaborate with skilled engineers and architects to build a future-proof data ecosystem that enables smarter, data-driven decisions.

If you’re passionate about data engineering and eager to make an impact,

we’d love to hear from you.

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