Data Engineer

Job Introduction

Serco is a trusted partner of European Institutions and International Organisations, providing ICT services and Contact Centre management across Europe. Our expertise ranges from information systems support to consultancy services delivered under governmental frameworks, supporting key entities such as the European Commission and its Executive Agencies. As a leader in Service Integration and Management, we ensure the seamless delivery of services across multiple platforms, reflecting our strong commitment to quality and operational excellence.

We are currently seeking a Data Engineer to join our team supporting the EuroControl in Maastricht, Netherlands, as well as in other locations across Europe. 

Background

The scope of the support includes the design and implementation of data pipelines and integration mechanisms, support to data migration from legacy or transitional environments, contribution to platform tooling and automation, and support to data governance and documentation. The activities to be performed under the contract explicitly exclude operational control, system ownership, or responsibility for live Air Navigation Service (ANS) provision.
The contractor will support EUROCONTROL’s digital transformation and data driven decision making priorities by enabling the delivery of a strategic data platform for internal analysis, planning, and support functions. All work shall be performed in compliance with applicable security, data protection, governance, and ethical standards, and within MUAC defined access controls and procedures.

Education Requirement

Mandatory:

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a strongly related technical discipline.

Desirable:

• Specialisation in Data Engineering, Big Data Architecture, or Database Management Systems

Language requirement

Mandatory:
The Tenderer shall confirm that the proposed candidate has an excellent ability to Listening-Reading-WritingSpeaking in English at level C1/C1/C1/C1 (the English skill levels may be further evaluated during an interview).

Technical/Professional qualification

Mandatory:

• Minimum 5 years’ experience in data engineering projects, including designing, building, and maintaining data pipelines (batch and streaming) using Python, SQL, PySpark.


• Minimum 3 years’ experience with data build tool (dbt) for data transformation, modelling (e.g., Python models), testing, and deployment in production environments


• Minimum 3 years’ experience in Databricks or equivalent distributed data processing environments.

Desirable:

• Minimum 1 year of Oracle databases experience and familiarity with specific dbt adapters (e.g., dbtoracle).


• Minimum 1 year experience architecting data warehouses or lakehouses (e.g., Snowflake, BigQuery, Delta Lake) for optimized analytics and cost-efficient storage.


• Minimum 1 year experience with Kafka or Kafka Connect for building streaming pipelines, event sourcing, and real-time data ingestion


• Minimum 1 year experience with orchestration tools like Apache Airflow or Databricks Workflows to manage complex dependencies and monitoring.


• Minimum 1 year experience of infrastructure as code (Terraform, Pulumi) and cloud platforms (Azure, AWS, GCP) for reproducible deployments.


• Minimum 1 year experience of data governance practices, including metadata management (e.g., Collibra), data contracts, and quality frameworks

Experience/Personal and other Skills required

• Strong communicator: Able to translate complex data engineering concepts and architectural decisions clearly to both technical peers and non-technical stakeholders.


• Proactive & Autonomous: Self-driven in identifying pipeline bottlenecks and resolving issues independently, while remaining seamlessly aligned with the internal team's objectives.


• Adaptable: Highly flexible when dealing with shifting project priorities and comfortable bridging the gap between legacy systems and modern data platforms.


• Security-Conscious: Exhibits a strong commitment to data protection, confidentiality, and strict adherence to governance policies in a highly regulated environment