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Koda Tech

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Data Engineer

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Summary

Data Engineer designing, building, and optimising Azure-based cloud data platforms and ETL/ELT pipelines for a data and analytics team. Core stack is Azure data services, SQL, and Python, with Databricks/Spark desirable. Long-term contract, hybrid, based in Brussels.

We are looking for an experienced Data Engineer to join a growing data and analytics team and support the design, development, and optimisation of modern cloud-based data platforms. You'll play a key role in delivering scalable data solutions that enable better decision-making across the business.

Long term Contract

Based in Brussels

Hybrid Role

Key Responsibilities

  • Design, build and maintain robust Azure-based data pipelines.
  • Develop and optimise ETL/ELT processes for structured and unstructured data.
  • Integrate data from various internal and external sources.
  • Ensure data quality, reliability, security and governance standards are met.
  • Collaborate with business stakeholders, analysts and architects to translate requirements into technical solutions.
  • Contribute to continuous improvement of data platform architecture and performance.
  • Support deployment, monitoring and troubleshooting of data solutions.

Required Experience

  • 5-7 years of experience as a Data Engineer.
  • Strong hands-on experience with Microsoft Azure data services.
  • Strong SQL skills and experience working with large-scale datasets.
  • Experience with Python and data transformation frameworks.
  • Knowledge of Databricks and Spark is highly desirable.
  • Experience building cloud-native data platforms and modern data architectures.
  • Familiarity with CI/CD and DevOps best practices.

Soft Skills

  • Strong communication and stakeholder management skills.
  • Ability to work independently in a freelance consulting environment.
  • Proactive approach to problem-solving and continuous improvement.
  • Comfortable working within multicultural and multilingual teams.

Language Requirements

  • Professional English.
  • Fluent Dutch and/or French.

Nice to Have

  • Experience within large enterprise environments.
  • Exposure to Data Governance and Data Quality initiatives.
  • Experience with Power BI or analytics platforms.

Skills

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See also

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