Our client is a leading organisation active in the critical infrastructure and utilities sector, playing a key role in supporting a reliable, sustainable, and future-oriented energy ecosystem across Europe.
Driven by innovation, sustainability, and operational excellence, the organisation continuously invests in digital transformation initiatives to support its long-term strategic ambitions. Diversity, inclusion, and collaboration are considered essential drivers of innovation and success.
About the Digital & Data Department
The Digital & Data department enables the organisation to leverage data as a strategic asset. Its mission is to support decision-making, drive innovation, facilitate business transformation, and ensure compliance through modern data capabilities.
The department operates within a highly agile environment and focuses on:
- Enterprise Data Platforms
- Data Integration & Engineering
- Business Intelligence & Analytics
- Master Data Management
- Data Governance, Data Quality & Data Lineage
- Cloud-based Data Solutions
Team Structure
The data organisation consists of:
- Product Teams supporting business initiatives and value streams
- Platform Teams building and maintaining core data capabilities
- Cross-functional Competency Teams supporting technology and best-practice adoption
All teams operate according to Agile principles with a strong focus on collaboration, ownership, and continuous improvement.
The Opportunity
As a Data Engineer, you will join one of the data product teams and contribute to the development and evolution of a modern enterprise data platform.
You will work closely with business stakeholders, analysts, and fellow engineers to deliver robust, scalable, and value-driven data solutions.
Key Responsibilities
- Design and develop data pipelines and integration solutions
- Build and maintain efficient data storage structures
- Create performant datasets and materialised views
- Develop data exchange interfaces and APIs
- Contribute to data governance initiatives, including:
- Data Quality
- Data Lineage
- Data Modelling
- Business Glossaries
- Collaborate with business stakeholders to translate requirements into data solutions
- Apply testing best practices and support DevOps-driven delivery
- Produce and maintain clear technical documentation
Required Experience
You have at least 3 to 5 years of hands-on experience in a minimum of two of the following areas:
Data Engineering & Integration
- Microsoft SQL Server
- Azure Data Factory
- Azure Databricks
- Azure Functions
- Azure Stream Analytics / Log Analytics
- Azure DevOps
Data Processing & Development
- Python development within a Databricks environment
- Building and maintaining data pipelines
- Data transformation and enrichment processes
Additional Technologies
Experience with, or willingness to learn, technologies such as:
- Redis
- RabbitMQ
- Neo4j
- Apache Arrow
- Other modern data platform technologies
What We’re Looking For
Technical Competencies
- Strong analytical and problem-solving skills
- Ability to think across the enterprise data landscape and identify reusable solutions
- Results-driven mindset focused on continuous improvement
- Pragmatic and business-oriented approach
- Customer-focused and iterative way of working
- Experience working in Agile environments
Personal Competencies
- Strong communication and stakeholder management skills
- Team player with an open and collaborative mindset
- Respectful, proactive, and solution-oriented
- Product-focused rather than technology-focused
- Comfortable sharing knowledge and contributing to collective success
Languages
- Fluent English is required
- Dutch, French, or German is considered a strong asset
Working Environment
The organisation offers:
- A modern and collaborative Agile environment
- A flat organisational structure with empowered teams
- Continuous learning and innovation opportunities
- Exposure to a wide variety of data technologies
- A culture that challenges the status quo and encourages initiative
Location & Hybrid Working
- Brussels region
- Hybrid model:
- 2 days onsite per week
- 3 days remote per week (following onboarding)
