Joining KEYES means giving purpose to your talent.
Are you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At KEYES, we are not just looking for technical expertise; we are looking for people who share our values.
Do you want to continue your career and grow within one of Belgium’s leading IT companies?
Join KEYES as a Senior Data Engineer!
KEYES supports private and public organizations in Belgium and across Europe in their digital transformation by combining business expertise, technological mastery, and a long-term vision.
We support large enterprises, the public sector, healthcare organizations, and SMEs in all their digital challenges: Infrastructure & Cloud Solutions, Cybersecurity Solutions, Business Software Solutions, Mainframe Solutions, Data & AI Solutions, Advisory Solutions, and Staffing Solutions.
More information: www.keyes.eu
THE BACKGROUND
For our client, a European Institution based in Maastricht, we are looking for an experienced Senior Data Engineer to join a long-term mission in a pan-European civil-military environment, working at least 50% on-site. You will play a key role in building and evolving a modern data platform within a mission-critical environment. Working closely with internal teams, you will design scalable data pipelines, support data migration initiatives, and contribute to the delivery of secure and reliable data solutions.
Are you the perfect match?
Mandatory:
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You have a University degree in IT or related field
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English level minimum C1
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Minimum 5 years of experience in data engineering projects, including designing, building, and maintaining data pipelines (batch and streaming) using Python, SQL, PySpark.
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Minimum 3 years’ experience with data build tools (dbt) for data transformation, modelling (e.g., Python models), testing, and deployment in production environments
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Minimum 3 years’ experience in Databricks or equivalent distributed data processing environments.
Desirable:
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Specialisation in Data Engineering, Big Data Architecture, or Database Management Systems.
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Minimum 1 year of Oracle databases experience and familiarity with specific dbt adapters (e.g., dbt-oracle).
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Minimum 1 year experience architecting data warehouses or lakehouses (e.g., Snowflake, BigQuery, Delta Lake) for optimized analytics and cost-efficient storage.
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Minimum 1 year experience with Kafka or Kafka Connect for building streaming pipelines, event sourcing, and real-time data ingestion.
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Minimum 1 year experience with orchestration tools like Apache Airflow or Databricks Workflows to manage complex dependencies and monitoring.
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Minimum 1 year experience of infrastructure as code (Terraform, Pulumi) and cloud platforms (Azure, AWS, GCP) for reproducible deployments.
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Minimum 1 year experience of data governance practices, including metadata management (e.g., Collibra), data contracts, and quality frameworks.
Other requirements:
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Strong communicator: Able to translate complex data engineering concepts and architectural decisions clearly to both technical peers and non-technical stakeholders.
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Proactive & Autonomous: Self-driven in identifying pipeline bottlenecks and resolving issues independently, while remaining seamlessly aligned with the internal team's objectives.
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Adaptable: Highly flexible when dealing with shifting project priorities and comfortable bridging the gap between legacy systems and modern data platforms.
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Security-Conscious: Exhibits a strong commitment to data protection, confidentiality, and strict adherence to governance policies in a highly regulated environment.
Do you recognise yourself in this description?
Do you want to learn more?
Apply now! You will be contacted shortly
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