Senior Databricks Data Engineer

LACO
Diegem (Machelen), Belgium
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French

Tech stack

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
+5 more
Azure Data Factory Apache Spark Pyspark Data Pipelines Databricks

Job 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. Your job 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 Your job 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

Requirements

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 Your skills 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

Benefits & conditions

A strong career opportunity with a package that reflects your expertise, leadership and impact Access to cutting-edge Microsoft data & AI projects where your skills make a difference Coaching and collaboration with experienced LACO colleagues who support your growth Plenty of freedom to take initiative and make your mark A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA Our offer A strong career opportunity with a package that reflects your expertise, leadership and impact Access to cutting-edge Microsoft data & AI projects where your skills make a difference Coaching and collaboration with experienced LACO colleagues who support your growth Plenty of freedom to take initiative and make your mark A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA Apply in 4 steps 1 Let’s meet! Time to get acquainted. We’ll dive deeper into your specific skills and expertise, and you’ll get the opportunity to ask us anything about how we work and what life is like at LACO. 2 Our second date 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. 3 The final date We’re almost there. Time to meet our HR and Operations Director in our office in Diegem. During a friendly talk, we’ll get to know you and you can get a feel of the atmosphere and culture at LACO. 4 An offer you can’t refuse Next up: getting down to the nitty-gritty. We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Welcome to the family! Apply in 4 steps 1 Let’s meet! Time to get acquainted. We’ll dive deeper into your specific skills and expertise, and you’ll get the opportunity to ask us anything about how we work and what life is like at LACO. 2 Our second date 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. 3 The final date We’re almost there. Time to meet our HR and Operations Director in our office in Diegem. During a friendly talk, we’ll get to know you and you can get a feel of the atmosphere and culture at LACO. 4 An offer you can’t refuse Next up: getting down to the nitty-gritty. We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Welcome to the family! Ready to lead as a Senior Databricks Engineer? Get in touch! LinkedIn This field is for validation purposes and should be left unchanged. Name(Required) First name Last name

About the company

Hi, I’m Anne. I look forward to getting to know you and exploring together whether LACO could be the right place for you to grow. Belgian data & analytics expert, turning data into lasting business value. Our expertise Let’s talk Ready to talk about your data? Want to join us? Want to follow us? © LACO NV 2026 | | | | Imagined by Manage Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.

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