Medior Databricks Data Engineer

LACO; Belgique; Sur place; EUR 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

40-hour week

32 days off

Hybrid flexibility

Continuous learning and growth

Résumé du poste

A leading data solutions company in Belgium is seeking a Medior Databricks Data Engineer. In this role, you'll design and optimise data solutions using Azure Databricks & Spark and implement reliable data pipelines for batch and streaming workloads. The ideal candidate is experienced in data engineering, strong with Databricks, Spark, SQL, and Python, and is fluent in Dutch and/or French and English. The position offers a 40-hour workweek, 32 days off, and hybrid flexibility.

Qualifications

• 2+ years of experience in data engineering.
• Strong knowledge of Databricks, Spark (PySpark/Spark SQL), SQL, and Python.
• Experience with ETL/ELT, data modelling, and cloud/CI-CD practices.
• Fluency in Dutch and/or French + English.

Responsabilités

• Design and optimise data solutions in Azure Databricks & Spark.
• Implement data pipelines (ETL/ELT) for batch and streaming workloads.
• Improve performance, reliability, CI/CD, and cloud architecture.
• Collaborate with engineers, analysts, and stakeholders.

Connaissances

Databricks

Spark (PySpark/Spark SQL)

SQL

Python

ETL/ELT

Data engineering

Description du poste

Build scalable Data platforms with Databricks, Spark, and Azure.

LACO is looking for a Medior Databricks Data Engineer who enjoys turning raw data into reliable, production-grade pipelines and helping shape modern cloud data platforms for real clients.

What you’ll do

• Design and optimise data solutions in Azure Databricks & Spark
• Implement data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainability
• Improve performance, reliability, CI/CD, and cloud architecture
• Collaborate with engineers, analysts, and stakeholders to deliver impact

What you gain

✔ Work on cutting-edge Microsoft data & AI projects

✔ Real hands‑on ownership, not just maintenance

✔ Continuous coaching, learning, and career growth

✔ Supportive team with freedom to take initiative

✔ 40‑hour week + 32 days off + hybrid flexibility

Your background

• ~2+ years in data engineering
• Strong Databricks, Spark (PySpark/Spark SQL), SQL, and Python
• Experience with ETL/ELT, data modelling, and cloud/CI‑CD practices
• Fluent in Dutch and/or French + English
• This role is also open to freelance consultants

Don’t meet every requirement? We still encourage you to apply.

Ready to build real data platforms with Databricks? Let’s talk.