Data Engineer
Perfil buscado (Hombre / Mujer)
This role will report into the CPTO and will require working closely with Heads of various Business functions.
The Data Engineer will be responsible for developing and optimizing scalable data pipelines, ensuring data integrity and system performance, and collaborating with cross-functional teams to enable data-driven decision-making across the organization. The position requires strong skills in Python for data engineering and SQL, as well as experience with AWS.
Required Skills
Based in Madrid
Proficiency in Python for scripting, automation and ETL development
Advanced SQL skills, experience with DBT (Data Build Tool or similar) for data transformation and modelling
Hands‐on experience with AWS data services such as S3, Glue, Athena, and MWAA
Familiarity with Git and CI / CD workflows
Strong problem‐solving skills and attention to detail
Excellent collaboration and communication skills across diverse teams
Fluent in English; fluency in Spanish is a strong plus
Qualifications
Bachelors or Masters degree in Computer Science, Engineering or a related field (or equivalent practical experience)
Experience with infrastructure‐as‐code tools like CloudFormation or Terraform
Familiarity with containerization technologies such as Docker and Kubernetes
Exposure to AWS Lake Formation and Lambda for serverless processing
Valuable knowledge of data visualization tools such as QuickSight, Looker or similar
Company belongs to the Fintech environment.
Python, ETL, AWS and CI / CD expert as a Data Engineering.
100 remote. Final client.
This opportunity is with a medium‐size organization within the Financial Services industry. The company is committed to leveraging technology to enhance its services and operations, ensuring it stays at the forefront of its field.
Opportunities to work in the Financial Services industry with advanced technologies.
Professional growth within a medium‐size organization.
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