Data Engineer
We are looking for a Data Engineer to join a team focused on ensuring the quality, consistency, and reliability of data across complex systems and services. In this role, you will work closely with technical and analytical teams to understand how data moves through different platforms, validate processing workflows, and identify potential issues affecting data quality. You will gain exposure to system configurations, data pipelines, and business-critical data flows, helping to ensure that information delivered to end users meets the highest standards.
The successful candidate will collaborate with cross-functional teams to analyse data processes, investigate anomalies, support service improvements, and contribute to the development of controls and validation mechanisms that enhance overall data reliability and operational efficiency.
Tasks and Responsibilities
- Understand overall architecture and function of client systems
- Develop functional knowledge of individual components
- Review and assess data inputs and outputs against service requirements
- Understand component and system configuration requirements for a service Contribute to developing tools and processes for checking and measuring service correctness
- Analyse and identify problems and assist in understanding causes and fixes
Profile/Skills
The role will require a degree of technical knowledge to allow navigation of systems and assessments using IT tools.
Essential
- Familiarity with IT environments and data processing
- Ability to identify, describe and communicate issues
- Database and SQL knowledge
- Structured approach to problem solving and analysing information
- Python or similar skills (basic/intermediate)
Advantageous
- Experience with cloud based systems and processing – in particular Azure
- Experience with examining and understanding data processing issues (e.g. testing)
- Knowledge of Linux systems, shell scripting and command line and file based systems
- Knowledge of Cloud based environments and processing (e.g. Azure), storage explorer etc.
Sobre la posición
Tipo de contrato: Perm
Especialización: IT & Telecomunicaciones
Área: Data & Analytics
Sector: Tecnología de la información
Banda salarial: Negotiable
Tipo de trabajo: Híbrido
Nivel de experiencia: Associate
Ubicación: Barcelona
FULL_TIMEReferencia: HZ2531-40BDE02C
Fecha de publicación: 5 de junio de 2026
Consultor/a: Helena Rosines
barcelona information-technology/data-and-analytics 2026-06-06 2026-08-04 it Barcelona Barcelona ES Robert Walters https://www.robertwalters.es https://www.robertwalters.es/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png true