Databricks Engineer

Koda Tech

Vlaams-Brabant

Hybride

EUR 70 000 - 110 000

Plein temps

Il y a 8 jours
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Résumé du poste

Koda Tech in Belgium (Vlaams-Brabant) is seeking an experienced Databricks Engineer to design and deliver modern cloud-based data platforms enabling analytics, AI and data-driven decisions for enterprise clients.

You will work on large-scale data transformation projects using Databricks, Apache Spark, Delta Lake and Unity Catalog, collaborating with data scientists, architects and business stakeholders to build scalable, reliable data products in a hybrid work environment.

Qualifications

  • Proven experience with Databricks in production environments.
  • Strong knowledge of Spark, Delta Lake and Unity Catalog.
  • Experience with IaC, CI/CD and version control.
  • Experience on Azure or AWS cloud environments.
  • Fluent Dutch (spoken and written).

Responsabilités

  • Design, build and maintain scalable data platforms using Databricks.
  • Develop robust data pipelines ingesting data from multiple systems.
  • Build and optimise data solutions with Spark, Delta Lake and Unity Catalog.
  • Ensure data reliability and accessibility for analytics and AI.
  • Contribute to platform architecture decisions and best practices.
  • Apply software engineering practices including testing, version control, and CI/CD.
  • Collaborate with stakeholders to deliver high-value data products.
  • Explore AI-driven capabilities to improve development efficiency and performance.

Connaissances

Python
SQL
Dutch language
Problem solving
Stakeholder empathy

Outils

Databricks
Apache Spark
Delta Lake
Unity Catalog
IaC
Git
CI/CD
Azure
AWS

Description du poste

A growing Data & AI consultancy is looking for an experienced Databricks Engineer to join its expanding Data Engineering practice. You'll play a key role in designing and delivering modern cloud-based data platforms that enable advanced analytics, AI, and data-driven decision-making for leading organisations across Belgium.

This is an opportunity to work on large-scale data transformation projects, leveraging the latest technologies within the Databricks ecosystem while collaborating closely with Data Scientists, AI Engineers, Architects, and business stakeholders.

Key Responsibilities
  • Design, build and maintain scalable data platforms using Databricks.
  • Develop robust data pipelines that ingest and process data from multiple operational and enterprise systems.
  • Build and optimise data solutions using Apache Spark, Delta Lake, and Unity Catalog.
  • Ensure data is reliable, accessible, and suitable for analytics, machine learning, and AI applications.
  • Contribute to platform architecture decisions and technology best practices.
  • Implement software engineering principles within data environments, including testing, version control, and CI/CD.
  • Work closely with stakeholders to deliver high-value data products that support long-term business objectives.
  • Explore and adopt emerging AI-driven engineering capabilities that improve development efficiency and platform performance.
Requirements
  • Proven experience working with Databricks in a production environment.
  • Strong knowledge of:
  • Apache Spark
  • Delta Lake
  • Unity Catalog (preferred)
  • Python
  • SQL
  • Experience applying software engineering best practices, including:
  • Infrastructure as Code (IaC)
  • Git version control
  • CI/CD pipelines
  • Exposure to cloud environments such as Microsoft Azure or AWS.
  • Strong problem-solving skills and a passion for building scalable data solutions.
  • Fluent Dutch language skills (spoken and written) are essential.
What's on Offer
  • Join a highly regarded Data & AI practice working on cutting-edge projects.
  • Exposure to modern AI and data technologies across a variety of industries.
  • Significant investment in professional development, learning, and coaching.
  • Collaborative and supportive culture focused on knowledge sharing.
  • Opportunity to work alongside experienced Data & AI professionals.
  • Flexible working arrangements and a hybrid working model.
  • Long-term career progression within a rapidly growing organisation.
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