Senior Data Engineer

Il y a 3 jours

Uccle, Brussels, Belgique Vivid Resourcing Temps plein

Senior Data Engineer (Geo / GIS)

Location: Belgium (Brussels or Ghent preferred)

Working Model: Hybrid (approximately 2 days per week in-office, depending on location)

About the Opportunity

We are seeking a Senior Data Engineer with an interest in geospatial data to join a growing data team responsible for one of the most critical components of a data-driven platform: the address and location data infrastructure.

This role sits at the heart of the organisation's data ecosystem. You will be responsible for building, maintaining, and improving large-scale address datasets that support search, data linking, analytics, and product functionality across multiple business areas.

The position offers the opportunity to solve complex real-world geospatial challenges involving fragmented data sources, historical location changes, inconsistent formats, and data quality issues. It is ideal for an engineer who enjoys ownership, problem-solving, and working with large, complex datasets.

Key Responsibilities

Own and continuously improve a core address and location data platform
Design, build, and maintain scalable data pipelines for ingestion, transformation, and validation
Integrate and standardise data from multiple external and internal sources
Develop solutions for address matching, enrichment, deduplication, and linking
Resolve complex geospatial and data quality challenges
Collaborate with product, engineering, and data teams to ensure reliable downstream data usage
Contribute to broader data engineering initiatives and platform improvements

What You'll Bring

Required Experience-

Strong background in Data Engineering
Experience designing and maintaining production-grade data pipelines
Advanced SQL skills and experience working with large datasets
Strong analytical and problem-solving capabilities
Ability to work independently and take ownership of critical systems
Experience with data quality, validation, and transformation processes

Preferred Experience-

Experience working with geospatial (GIS) data or a strong interest in developing expertise in this area
Familiarity with cloud-based data infrastructure, particularly AWS
Experience with Elasticsearch or OpenSearch
Exposure to integrating multiple external data sources
Experience working with complex, messy, or fragmented datasets
Knowledge of European geographic or address datasets is advantageous

Why Join?

Work on highly impactful data challenges that directly influence product quality
Solve real-world geospatial and data engineering problems at scale
Join a collaborative, experienced team with strong technical foundations
Enjoy a high level of ownership and autonomy
Build solutions that are used across multiple products and business functions
Contribute to the evolution of a growing data platform

Team-

You will join a specialist data team working closely with engineering and product stakeholders. The team values pragmatic problem-solving, collaboration, and building robust solutions that deliver measurable business impact.

Any interest? Apply here or contact me directly.