About the Role
Founded in 2008, Hipoges is one of the leading Asset Management platforms in the Iberian Peninsula, with over €48.5 billion in assets under management. The Data Engineer will join the Data Integration team, developing and maintaining the ETL processes and Python integrations that move, transform and validate data across Hipoges' systems, supporting portfolio management and internal operations. The role works directly with requesters and other technical teams, analyzing functional requirements and translating them into technical solutions.
Responsibilities
•Develop and maintain data processes on PostgreSQL (queries, transformations, loads), ensuring process availability, integrity and efficiency.
•Develop and implement automated processes to improve portfolio management and internal operations.
•Build and maintain integrations with internal and third-party systems through REST APIs.
•Ensure data quality, consistency and accuracy across systems.
•Support data reconciliation and validation and contribute to the optimisation of data-related processes.
•Identify opportunities to improve existing processes through automation and better use of data.
•Analyze and interpret functional requirements from business stakeholders, clarifying scope and assumptions, and translate them into ETL processes and Python developments.
Requirements
•Strong knowledge of SQL databases, particularly PostgreSQL and/or MySQL and/or SQL Server — mandatory.
•Strong knowledge of Python — mandatory.
•Experience with data integration and ETL processes (Pentaho Kettle/Python).
•Advanced Excel skills.
•Strong analytical and problem-solving skills, with attention to detail.
•Knowledge in job schedulers (JAMS/JS7) and Git/Bitbucket.
•Ability to understand functional requirements and turn them into technical specifications.
•Good communication, organization and ability to meet deadlines, working autonomously within a team.
•High level of English proficiency.
•Degree in Engineering, Mathematics, Statistics, Computer Science or another relevant field.
•At least 3 years of professional experience in Data Engineering or a similar role.
•Experience working with databases, data processing and automation in a business-driven environment.
Nice to Have
•Intermediate level of Spanish — desirable
Conditions
No conditions specified in the posting.
