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AVEVA, a global leader in industrial software, is seeking an experienced Data Engineer to join our Data Science & AI team in Madrid. You will design, build, and maintain scalable data pipelines and architectures enabling advanced analytics, ML, and AI agent development.
You will collaborate with data scientists, AI engineers, and business stakeholders to ensure data is reliable, accessible, and optimized for analytics and operational use cases in a hybrid work environment.
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.
We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.
If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
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Job Title: Data Engineer
Location: Madrid
Employment Type: Permanent, full time (Hybrid role)
We are looking for an experienced Data Engineer to join our Data Science & AI team at AVEVA. In this role, you willbe responsible fordesigning, building, andmaintainingscalable data pipelines and architectures that enable advanced analytics, machine learning, and AI agent development.
You will work closely with data scientists, AI engineers, and business stakeholders to ensure data is reliable, accessible, and optimized for both analytics and operational use cases.
Design, develop, andmaintainrobust, scalable data pipelines
Build and manage data architectures and data models
Ensure data quality, governance, and security standards
Collaborate with Data Scientists and AI Engineers
Optimizedata processing for performance and cost-efficiency
Integrate multiple data sources
Develop workflows using Microsoft tools (Power Automate, Logic Apps, Azure Data Factory)
Design end-to-end solutions within Microsoft ecosystem
Implement best practices for data engineering and version control
Support AI agents and automation workflows
5+ years of experience in Data Engineering
Strong Python and SQL skills
Experience with Spark/Databricks
Experience in ETL/ELT pipelines
Strong Azure experience
Databricks Unity Catalog experience (governance, access control)
Experience with Power Automate or similar tools
Strong data modeling and warehousing knowledge
Git and CI/CD experience
Master’s or Ph.D. in Data, Computer Science, Statistics, Mathematics, or a related field.
Experience with Lakehouse architecture
MLOpsfamiliarity
Strong Unity Catalog governance practices
Knowledge of data governance frameworks
Experience with streaming technologies
Exposure to AI/GenAI or agent-based systems
Microsoft Power Platform (Power Apps, Power BI)
Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.
We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel part of something special from the first day you join.
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.