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Medior Databricks Data Engineer

Laco -
Diegem

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 4 jours

Qualifications

Français
CI/CD
Infrastructure cloud
Azure
Architecture cloud
DevOps
Spark
SQL
ETL
Intelligence artificielle
Python

Description complète du poste

Do you enjoy working hands-on with Databricks and Spark to turn raw data into scalable pipelines? Ready to help shape the future of cloud-native data platforms? Then LACO has a role you’ll want to dig into.

As our Medior Databricks Data Engineer, you support the design, development and deployment of data solutions within the Databricks ecosystem on our clients’ Azure platforms. You work closely with other data engineers, analytics specialists, and developers to build scalable, reliable, and high-performance data pipelines and architectures.

Your job

Contribute to the design, development and optimisation of scalable data solutions in Microsoft Azure, with a strong focus on Databricks and Spark
Implement data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainability
Support the setup and optimisation of Databricks and Azure environments, including CI/CD automation and cloud infrastructure practices
Help ensure solutions meet enterprise standards for security, governance and compliance.
Collaborate with stakeholders and cross-functional teams to deliver data solutions that drive business impact
Share knowledge and best practices with junior engineers, while continuing to grow your own expertise in Databricks, Spark, ETL and cloud architecture

Your job

Contribute to the design, development and optimisation of scalable data solutions in Microsoft Azure, with a strong focus on Databricks and Spark
Implement data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainability
Support the setup and optimisation of Databricks and Azure environments, including CI/CD automation and cloud infrastructure practices
Help ensure solutions meet enterprise standards for security, governance and compliance.
Collaborate with stakeholders and cross-functional teams to deliver data solutions that drive business impact
Share knowledge and best practices with junior engineers, while continuing to grow your own expertise in Databricks, Spark, ETL and cloud architecture

You have at least 2 years of experience as a data engineer
You have a solid understanding of the Microsoft Azure ecosystem
You have hands-on experience with Databricks, including Spark (PySpark, Spark SQL)
You have strong SQL and Python skills
You have a solid understanding of data modelling concepts
You have experience with building robust ETL/ELT pipelines
You’re familiar with cloud architecture and DevOps practices, including CI/CD for data engineering
You communicate fluently in Dutch and/or French and English, written and spoken

Your skills

You have at least 2 years of experience as a data engineer
You have a solid understanding of the Microsoft Azure ecosystem
You have hands-on experience with Databricks, including Spark (PySpark, Spark SQL)
You have strong SQL and Python skills
You have a solid understanding of data modelling concepts
You have experience with building robust ETL/ELT pipelines
You’re familiar with cloud architecture and DevOps practices, including CI/CD for data engineering
You communicate fluently in Dutch and/or French and English, written and spoken

Your skils

Our offer

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards
Access to cutting-edge Microsoft data & AI projects that keep your knowledge sharp
Continuous learning and coaching from experienced LACO colleagues
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

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards
Access to cutting-edge Microsoft data & AI projects that keep your knowledge sharp
Continuous learning and coaching from experienced LACO colleagues
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

3

The final date

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 build better data solutions with Databricks? Get in touch!

Soumettre votre candidature

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