Data Engineer

skeyes; Steenokkerzeel; Sur place; EUR 55 000 - 90 000; Plein temps

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

Are you passionate about handling raw data towards ready-made datasets? Do you thrive in a dynamic and innovative environment? If so, skeyes is looking for a talented Data Engineer to join the Operationnal Data Services department. As a Data Engineer at skeyes, you will play a crucial role in designing, developing, and maintaining the data architecture that powers our organization's decision-making processes.

What does a Data Engineerat skeyes?

• Develop scripts leveraging internal and external APIs to ingest raw data,
• Transform and model raw data in accordance with skeyes’ business rules,
• Ensure data quality at each step of the process,
• Develop internal package to ease internal development,
• Set up CI/CD pipeline to automate and robustify the delivery process,
• Schedule and monitor data pipeline,
• Contribute to the skeyes’ data warehouse creation,
• Enable internal self-service data,
• Gather technical and business information from the skeyes collaborators,
• Collaborate with IT department for infrastructure purposes,
• Provide support in data governance and data quality initiatives, ensuring compliance with data standards, security protocols, and privacy regulations,
• Be part and an agile team composed of BI analysts and Data engineers.
• Engineering, Technical & IT

Candidate profile

What makes you the ideal Data Engineer ?

• Master’s degree in computer science, software engineering, Data engineering,
• 3 to 5 years’ experience as a Data Engineer/ Software Engineer,
• Strong Python development abilities,
• SQL capacity to develop complex queries,
• Ability to work with a DevOps platform (version control, CI/CD),
• Experience in the cloud, preferably Microsoft Azure,
• Experience in Fabric, Databricks or Snowflake is a plus,
• Experience with the language Go is a plus,
• Experience in Docker and Kubernettes is a plus,
• Air Traffic Management knowledge is a plus,
• Ability to handle highly confidential data with integrity and maintain a high level of trust and professionalism,
• Focus on data accuracy, quality and integrity, paying attention to the smallest details,
• Strong problem-solving skills to analyse complex situations and provide actionable insights and recommendations.

Security screening

In light of the vacancy to which you respond we would like to draw your special attention to the fact that prior to being employed by skeyes candidates have to undergo a security screening which will be carried out by the National Security Authority. More info