Data Engineer

darwind

Brussel

Sur place

EUR 65 000 - 90 000

Plein temps

Il y a 8 jours
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Avantages offerts par ce poste

Hospitalization insurance
Group insurance
Meal allowance
Mobility budget

Résumé du poste

Darwind is seeking a Data Engineer to design and maintain scalable data infrastructure, building ETL/ELT pipelines, ingesting data from multiple sources, and enabling reliable analytics for IT and business teams.

You will work with AWS, Azure or GCP, optimize performance and cost, collaborate with analysts and data scientists, document decisions, and stay current with new tools and best practices. A master’s degree and 4+ years experience preferred, Dutch is a plus.

Qualifications

  • Master's degree in computer science, data engineering, IT or related field.
  • 4+ years of experience as a Data Engineer in an IT environment.
  • Proficient in Python and SQL with solid data-pipeline experience.
  • Hands-on experience with ETL/ELT tools and big data tooling.

Responsabilités

  • Design, build and maintain scalable ETL and ELT pipelines for structured and unstructured data.
  • Set up batch and real-time data ingestion from multiple sources.
  • Build and optimise data models and data warehouses for analytics and reporting.

Connaissances

Python
SQL
ETL/ELT
Big data
Cloud platforms

Formation

Master's degree

Outils

Airflow
ETL tools

Description du poste

Behind every reliable dashboard and every accurate report sits a data infrastructure that just works, someone who can design and build the pipelines that make that possible, and keep them running when the volume and complexity grow.

At Darwind, we don't fit consultants into projects, we look for the project that fits you. You'll join a community of Darwinders who value autonomy, ownership, and genuine professional growth, and who believe the best work experience should always be the next one.

What you will do

As Data Engineer, you'll design and maintain the data infrastructure that IT and business teams rely on to work with reliable, accessible data. Concretely, you will:

  • Design, build and maintain scalable ETL and ELT pipelines for structured and unstructured data
  • Set up and manage batch and real time data ingestion from multiple internal and external sources
  • Build and optimise data models and data warehouses that support analytics and reporting needs
  • Work with cloud platforms such as AWS, Azure or GCP to deploy and scale data infrastructure
  • Implement monitoring, alerting and quality checks to keep pipelines and data reliable
  • Collaborate closely with data analysts, data scientists and business stakeholders to understand data needs
  • Optimise the performance, scalability and cost efficiency of existing data systems
  • Document architecture, workflows and technical decisions in a clear and structured way
  • Stay up to date with new tools, frameworks and best practices in the data engineering field
Who you are

We look beyond the CV. For us, motivation and curiosity matter just as much as the technical box-ticking, but to thrive in this role, you'll likely recognise yourself in most of the following:

  • You hold a master's degree in computer science, data engineering, IT or a related field
  • You have at least 4 years of experience as a Data Engineer in an IT environment
  • You are proficient in Python and SQL and have solid experience building data pipelines
  • You have hands on experience with ETL or ELT tools
  • Familiarity with big data tools
  • You have working knowledge of cloud platforms such as AWS, Azure or GCP
  • You think in systems, you are a strong problem solver, and you document your work clearly
  • You are fluent in Dutch, French is a plus
What we offer
Competitive benefits package
  • Hospitalization insurance
  • Group insurance
  • Meal allowance
  • Your choice between a company car with EU fuel card or the federal mobility budget
Learning and growth
  • Continuous coaching
  • Technical and soft-skills training
  • Room to grow across different domains and technologies
Culture
  • A human, transparent and collaborative environment
  • Real ownership and influence on the projects you contribute to
  • A team that lives its values, initiative, authenticity and open communication, every day
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