Data Engineer: Build Scalable Pipelines & Data Warehouse

skeyes

Steenokkerzeel

Sur place

EUR 55 000 - 90 000

Plein temps

Il y a 10 jours
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Résumé du poste

skeys is seeking a Data Engineer to design, develop, and maintain the data architecture that powers our organization’s decision-making processes. You join the Operationnal Data Services department and will work with BI analysts and other data engineers to build scalable pipelines and robust data models.

Ideal candidates have 3–5 years of experience, strong Python and SQL skills, and cloud experience (Azure preferred).

Qualifications

  • Master’s degree in computer science, software engineering, or data engineering.
  • 3–5 years of experience as a Data Engineer/Software Engineer.
  • Strong Python development abilities and SQL for complex queries.
  • Experience with DevOps platforms and cloud (Azure preferred).
  • Knowledge of data governance, data quality and privacy basics.

Responsabilités

  • Develop scripts to ingest raw data from APIs and build data pipelines.
  • Transform and model data per business rules and ensure data quality.
  • Contribute to data warehouse design and self-service data initiatives.
  • Set up CI/CD pipelines to automate delivery and testing.
  • Collaborate with IT for infrastructure and security compliance.
  • Work in an agile team with BI analysts and data engineers.

Connaissances

Python development
SQL
DevOps
Azure Cloud
Data modeling
Docker
Kubernetes
Go (basic)
Air Traffic Management knowledge

Formation

Master’s degree in computer science or software engineering

Outils

Docker
Kubernetes
Databricks
Snowflake
Fabric

Description du poste

skeys is seeking a Data Engineer to design, develop, and maintain the data architecture that powers our organization’s decision-making processes. You join the Operationnal Data Services department and will work with BI analysts and other data engineers to build scalable pipelines and robust data models.

Ideal candidates have 3–5 years of experience, strong Python and SQL skills, and cloud experience (Azure preferred).

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