Data Engineer

Primus Connect; Vlaanderen; Hybride; EUR 39 000 - 65 000; Plein temps

Avantages offerts par ce poste

Company Car

Excellent Benefits

Résumé du poste

Primus Connect is seeking an experienced Data Engineer to own the technical evolution of a Databricks-powered Lakehouse platform, driving analytics, reporting, AI, and data-driven decision making in a transformational journey.

You will design scalable pipelines in Azure Databricks, build Bronze-Silver-Gold layers, integrate diverse data sources, and collaborate with stakeholders to deliver trusted datasets while moving from legacy reporting to modern data architectures.

Qualifications

• Proven experience as a Data Engineer or Analytics Engineer.
• Hands-on Databricks experience and BI dashboards.
• Python and/or PySpark expertise.
• Experience building production-grade ETL/ELT pipelines.
• Experience with cloud data platforms and Azure services.
• Strong data modelling and analytics-ready datasets.

Responsabilités

• Designing, building and optimising scalable data pipelines in Azure Databricks.
• Developing and maintaining Bronze, Silver and Gold data layers using a Medallion Architecture.
• Integrating new data sources including APIs, databases, external datasets and file-based feeds.
• Improving platform performance, reliability, monitoring and observability.
• Driving data quality, governance and engineering best practices.
• Working closely with business stakeholders, analysts and data teams to deliver trusted, consumption-ready datasets.
• Supporting the transition from legacy reporting environments to a modern Databricks Lakehouse platform.
• Identifying opportunities to automate processes, reduce costs and increase the value delivered through data.

Connaissances

Data engineering

Stakeholder management

Communication

Analytical mindset

Outils

Databricks

Python

PySpark

Azure Data Factory

Git

Azure DevOps

Description du poste

up to €65,000 + Company Car + Excellent Benefits

Are you passionate about building modern data platforms that drive real business value?

We're supporting an organisation on an exciting data transformation journey, implementing a Databricks-powered Lakehouse platform that will become the foundation for analytics, reporting, AI, and data-driven decision making.

We're looking for an experienced Data Engineer who can take ownership of the technical evolution of the platform, helping shape the future of data across the business.

What You'll Be Doing

• Designing, building and optimising scalable data pipelines in Azure Databricks
• Developing and maintaining Bronze, Silver and Gold data layers using a Medallion Architecture
• Integrating new data sources including APIs, databases, external datasets and file-based feeds
• Improving platform performance, reliability, monitoring and observability
• Driving data quality, governance and engineering best practices
• Working closely with business stakeholders, analysts and data teams to deliver trusted, consumption-ready datasets
• Supporting the transition from legacy reporting environments to a modern Databricks Lakehouse platform
• Identifying opportunities to automate processes, reduce costs and increase the value delivered through data

What We're Looking For

• Proven experience as a Data Engineer or Analytics Engineer
• Strong hands-on experience with Databricks, including AI/BI Dashboards and Genie
• Python and/or PySpark expertise
• Experience building production-grade ETL/ELT pipelines
• Azure Data Factory (or equivalent orchestration tools)
• Experience with cloud-based data engineering and storage technologies
• Understanding of data modelling and analytics-ready datasets
• Experience with Git, Azure DevOps and modern delivery practices
• Excellent stakeholder management and communication skills
• Fluent English and Dutch/French

Nice To Have

• Unity Catalog and data governance tooling
• Azure Functions and event-driven architectures
• Experience in healthcare, retail, service or multi-country environments

Working Model

• Hybrid working model: 3 days onsite per week and 2 days remote
• Collaborative environment with significant exposure to business stakeholders and Global senior data teams

Why Apply?

This is an opportunity to join a business investing heavily in its data capabilities and play a key role in shaping a modern Databricks platform from the ground up. You'll have real influence over architecture, engineering standards, optimisation, governance, and the future direction of data within the organisation.