Data Engineer

Operationnal Data Services

Belgium

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

connexys-1891.my.salesforce-sites.com

Tech stack

Microsoft Azure Continuous Integration Data Architecture Information Engineering Data Governance Data Warehousing Python (Programming Language) Raw Data Software Engineering Snowflake Information Technology Software Version Control

+3 more

Data Pipelines Docker Databricks

Job description

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., * 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.

Requirements

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.