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# Senior Databricks Data Engineer

- **Company:** Laco
- **Location:** Diegem (Machelen), Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, DevOps, Apache Hive, Python (Programming Language), SQL Databases, Azure Data Factory, Apache Spark, Pyspark, Data Pipelines, Databricks
- **Published:** June 7, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=5cd1800e0026e50b

## About the Role

Do you have experience in Spark?, * You have 5+ years of experience as a data engineer, with strong project ownership

 * You have deep expertise in the Microsoft Azure ecosystem
 * You are an expert in Databricks and Spark (PySpark, Spark SQL)
 * You're an expert in SQL and Python, and fluent in building complex ETL/ELT pipelines
 * You know your way around data modelling techniques and best practices
 * You understand cloud architecture and DevOps workflows, including CI/CD for data engineering
 * You communicate fluently in Dutch and/or French and English, written and spoken

## Description

Do you enjoy taking full ownership of complex data solutions? Are you the kind of engineer who not only builds scalable pipelines but also sets the bar for best practices in Databricks and Azure? Then this one's for you., As our Senior Databricks Data Engineer, specialising in Databricks, you take ownership of the end-to-end delivery of scalable, high-performance data solutions on Microsoft Azure. You work closely with cross-functional teams to architect, develop, and optimize data pipelines and Databricks environments that enable reliable, enterprise-grade analytics and drive measurable business value., * Lead the design, development and optimisation of scalable data solutions on Azure, with a strong focus on Databricks and Spark

 * Architect and implement end-to-end data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainability
 * Oversee and optimise Databricks environments and Azure data platforms, including CI/CD automation and cloud infrastructure best practices
 * Ensure all solutions meet enterprise standards for security, governance and compliance
 * Collaborate with stakeholders and cross-functional teams to deliver data solutions with measurable business value
 * Mentor medior and junior engineers, sharing best practices in Databricks, Spark and cloud architecture
 * Stay at the forefront with Azure, Databricks and big data technologies and promoting innovative approaches within the team, You'll meet one of our team leads or a subject-matter expert. Together, we explore your technical knowledge, your strengths and the topics you feel most confident in. Sometimes we include a small, practical exercise to understand how you think and how approach data challenges.


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