Data Engineer – Build Scalable ETL Pipelines

About the role

Join a fast‑growing B2B product and technology organisation in Mechelen, building data‑driven solutions that help businesses operate more efficiently and make better decisions.

Key responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines powering B2B products, analytics, and operational processes.
• Build and optimise cloud‑based data lakes, data warehouses, and modern data platforms.
• Integrate data from APIs, databases, SaaS platforms, IoT devices, and other enterprise systems.
• Develop robust data models and transformation layers for product analytics, reporting, forecasting, and business intelligence.
• Ensure high standards of data quality, reliability, monitoring, governance, and orchestration across the data platform.

Required profile

• 2–5 years of experience as a Data Engineer or in a similar data‑focused engineering role.
• Strong hands‑on experience with Python and SQL.
• Proven experience building and maintaining production‑grade ETL/ELT pipelines.
• Comfortable working in a product‑led, agile environment and collaborating with software engineers, product teams, and business stakeholders.
• Experience with B2B products, SaaS, IoT, industrial, energy, or time‑series data is a plus.
• Strong communication skills, collaborative mindset, and fluency in English.

Required skills

• Python
• SQL
• Databricks
• Snowflake
• dbt
• Airflow
• Microsoft Fabric
• Azure, AWS, GCP
• Apache Spark
• Docker
• Git
• CI/CD
• Kubernetes

What we offer

• Salary up to €6,000 gross per month, depending on experience.
• Company car or mobility budget.
• Hybrid working model with a modern office in Mechelen.
• Meal vouchers, group insurance, and hospitalisation insurance.
• Ongoing technical training and certification opportunities.
• Clear career progression towards Senior Data Engineer, Data Architect, or Tech Lead.
• Opportunity to work with modern technologies such as Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow, and Spark.
• Direct impact on the development of a growing B2B technology product and data platform.