Data and Analytics Engineer

Vivid Resourcing; Vlaams-Brabant; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Health insurance

Mobility budget

Eco-vouchers

Meal vouchers

Résumé du poste

Vivid Resourcing is looking for a Data and Analytics Engineer (Mid/Senior) to join a hybrid team in Leuven. You will turn raw data into reliable, business-ready data products, operating at the crossroads of data engineering and analytics.

You will own the full journey from source to trusted metrics, building scalable pipelines in Azure, Databricks, Fabric, and dbt, while partnering with stakeholders to translate requirements into robust data models and governance.

Qualifications

• Experience in data engineering or analytics engineering.
• Strong data modeling and governance mindset.
• Excellent communication with business stakeholders.

Responsabilités

• Turn raw data into reliable, well-modeled data products.
• Own data pipelines from source to metric with governance.
• Collaborate with stakeholders to translate requirements into data models.
• Implement testing and CI/CD for data pipelines.

Connaissances

Data modeling

SQL

Stakeholder collaboration

Outils

dbt

Azure

Databricks

Microsoft Fabric

Description du poste

Data and Analytics Engineer (Mid/Senior) – Hybrid, Leuven

About the client-

A modern Data/AI driven company- looking to further develop their team with new ambitious/technical profiles.

Your mission-

As an Data and Analytics Engineer, you'll turn raw, messy data into reliable, well-modeled, business-ready data products. Sitting at the intersection of data engineering and analytics, you'll work directly with stakeholders to sharpen business logic and translate it into scalable data models, semantic layers, and reusable transformation pipelines, the foundation dashboards, self-service analytics, and AI initiatives depend on. You'll own the full journey from raw source to trusted metric: modeling, testing, documentation, and governance included.

The tech side-

You'll work across the modern Microsoft-centric data stack, Azure, Databricks, and Microsoft Fabric, building version-controlled, SQL-first transformation pipelines with dbt. You'll design dimensional and semantic models, set up automated testing and CI/CD for data, and help define metrics layers and data contracts that keep definitions consistent across BI tools and downstream AI/ML use cases, all built on reference architectures and reusable frameworks rather than one-off solutions.

Why join?

• Craftsmanship first – we invest in best practices, reference architectures, and reusable frameworks so you keep growing technically.
• Real impact – your modeling, metrics, and governance genuinely shape decision-making
• Strong community – work alongside data engineers, analytics engineers, BI and AI experts who actively share knowledge.
• Shape the direction – our way of working is constantly evolving, and you help define what analytics engineering looks like here.
• Future-ready stack – Azure, Databricks, Fabric, and dbt, built for what's next.
• AI as an accelerator, not a shortcut – we use LLMs deliberately for code generation and pipeline development, backed by guardrails, reference implementations, automated testing, and review processes, so AI-assisted coding leads to better, maintainable solutions , not technical debt.
• Full package- competitive salary, company car or mobility budget, health insurance, eco-vouchers, meal vouchers etc

Ready to shape metrics, data models, and data products while tackling modern AI technology?