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⛅️ Experienced Cloud (& Data) Engineer

Job description

🚀 The Job

As a Cloud (& Data) Engineer you excel in building, automating and implementing cloud native infrastructure that supports production grade data & AI solution development. You have a sharp eye for detail while coming up with and automating CI/CD pipelines, test suites and Infrastructure-as-Code with cloud native approach. You embrace the DevOps philosophy and understand that tooling and engineering are just a part of the story. You enjoy coaching your colleagues, as well as advocating for DevOps principles at customers, to deliver best-in-class solutions.

Scale-up Dataroots from Leuven and Ghent researches, designs and codes robust data solutions & platforms for various sectors. Our dedicated in-house team of data & AI specialists uses state-of-the-art techniques to optimise traditional company processes. With a strong focus on DataOps and MLOps we firmly believe in robust and production-ready solutions being an essential part to our work. The result? Our teams provide clients a reliable foundation to make data-driven decisions.


🎉. What you can expect at Dataroots?
Dataroots was founded in 2016 and, since its beginnings, has focused on helping its customers achieve excellence in their data-driven operations. The only way to do this sustainably is by investing in team well-being, diversity, knowledge sharing and customer experience. This quality-first focus has allowed sustained and healthy growth over the years. Join a team where you can have an impact on our growth story. Read up more on our DNA over at [https://dataroots.io/our-dna].

Job requirements

💪 The Skills

  • You master software engineering skills: working with Git, Python, SQL and Docker.

  • You demonstrate cloud engineering proficiency with Terraform, ensuring robust and scalable cloud infrastructure.

  • You adeptly orchestrated containerized applications using Kubernetes and Helm.

  • You implemented secure private networking solutions in the cloud infrastructure.

  • You understand at least one data platform such as Databricks, Snowflake, Azure data services or AWS data services.

  • You lead in designing data platform components and architecture.

Nice-to-Have 

  • You applied Spark for effective data engineering.

  • You skillfully build batch and streaming ELT data pipelines, using tools like Airflow, Prefect or Dagster.

  • You set up data quality tooling and managed metadata implementation.


💰 The Offer

  • Attractive salary package with extralegal benefits such as a company car & fuel card or mobility budget, hospitalization insurance, group insurance, high-end laptop, and smartphone.

  • Personal & team training budget for professional development.

  • Innovation budget to work on exciting open-source projects.

  • (Virtual) Team Buildings, team gatherings and participation in sports initiatives.

Ready for a new chapter as an Experienced Cloud (& Data) Engineer at Dataroots? Great! Apply now! 🎉

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