Senior Data & AI Engineer

Senior Data & AI Engineer | Madrid (Hybrid)

An international company operating in the energy sector is looking for a Senior Data & AI Engineer to join its team in Madrid.

This role offers the opportunity to contribute to the evolution of a modern cloud-based data platform, enabling advanced analytics, AI-driven solutions, and operational efficiency across the organisation.

Main Responsibilities

• Lead the design and implementation of scalable data architectures and ETL/ELT pipelines using AWS technologies.
• Develop and maintain operational data solutions ensuring high standards of data quality, reliability, and governance.
• Design and optimise data models and semantic layers for analytics and reporting.
• Collaborate with business stakeholders to translate operational and analytical needs into scalable technical solutions.
• Support AI and machine learning use cases by building robust and reliable data foundations.
• Ensure platform scalability, performance, security, and cost-efficiency through cloud-native best practices.
• Implement governance, metadata, lineage, and security standards across the data lifecycle.
• Work closely with IT, cloud, and cybersecurity teams to ensure alignment with architecture and security standards.
• Contribute to initiatives related to automation, analytics, and AI adoption.

Requirements

• Degree in Computer Science, Engineering, Mathematics, Data Engineering, or a related field.
• Minimum 7 years of experience in Data Engineering, Cloud Data Architecture, Analytics Engineering, or similar roles.
• Strong experience with AWS services such as Glue, Lambda, S3, Athena, Redshift, EMR, Kinesis, and Step Functions.
• Advanced proficiency in Python and SQL.
• Solid knowledge of ETL/ELT pipelines, distributed data processing, and data modelling.
• Experience with BI and data visualisation tools such as Power BI or QuickSight.
• Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, or CDK.
• High level of English required.

Nice to Have

• Experience with Databricks or Azure data services.
• Knowledge of streaming and real-time architectures such as Kafka or Kinesis.
• Experience with MLOps practices or machine learning deployment environments.
• AWS certifications.
• Previous experience in energy, commodities, financial markets, or complex B2B environments.

What the Company Offers

• Hybrid working model based in Madrid.
• Flexible working hours.
• Reduced working hours during summer and Fridays.
• Professional development and training opportunities.
• Flexible benefits package.
• International and collaborative environment.
• Opportunity to work on large-scale cloud and AI-related projects.

If you are looking for an opportunity to work in an innovative and international environment where data and AI play a key role in business transformation, we would love to hear from you.