Senior Data Engineer – Hybrid Madrid, Pipelines & ML Ops

Amoria Bond; Madrid; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Amoria Bond is seeking a Senior Data Engineer in Madrid, hybrid work setup. The role focuses on designing and maintaining data pipelines, ensuring data quality, and supporting scalable data environments. Fluency in Spanish and English is required.

You will collaborate with engineers to improve data solutions, contribute to governance and security standards, and drive automation and testing practices to deliver reliable data platforms.

Qualifications

• Solid professional experience in Data Engineering.
• Proficient in ETL/ELT and data pipeline orchestration.
• Strong SQL and Python skills.
• Experience with modern containerisation technologies.
• Understanding CI/CD and automated deployment processes.
• Knowledge of data governance, data security and regulatory requirements.
• Ability to communicate effectively in Spanish and English.

Responsibilities

• Design and maintain data integration and processing workflows.
• Develop automated solutions for data ingestion, transformation and reporting.
• Improve data quality, consistency and reliability across systems.
• Contribute to data governance, documentation and security standards.
• Monitor and optimise the performance of data platforms and applications.
• Implement testing, automation and deployment best practices.
• Collaborate with technical stakeholders and support knowledge sharing within the team.
• Contribute to the development and operationalisation of advanced data solutions.

Skills

Data engineering

ETL/ELT

SQL

Python

CI/CD

Data governance

Data security

Regulatory requirements

Spanish and English communication

Tools

Containerisation

CI/CD pipelines

Job description

Amoria Bond is seeking a Senior Data Engineer in Madrid, hybrid work setup. The role focuses on designing and maintaining data pipelines, ensuring data quality, and supporting scalable data environments. Fluency in Spanish and English is required.

You will collaborate with engineers to improve data solutions, contribute to governance and security standards, and drive automation and testing practices to deliver reliable data platforms.