Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Full-time · Permanent — employment source
Location: Madrid Employment Type: Permanent, full time (Hybrid role) The job
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What you’ll work on

Design, develop, and maintain robust, scalable data pipelines
Develop workflows using Microsoft tools (Power Automate, Logic Apps, Azure Data Factory)
Build and manage data architectures and data models

From the employer’s posting

Key Responsibilities Design, develop, and maintain robust, scalable data pipelines Build and manage data architectures and data models

Integrate multiple data sources Develop workflows using Microsoft tools (Power Automate, Logic Apps, Azure Data Factory) Design end-to-end solutions within Microsoft ecosystem

Design, develop, and maintain robust, scalable data pipelines Build and manage data architectures and data models Ensure data quality, governance, and security standards

What you’ll bring

All qualifications

Core experience

5+ years of experience in Data Engineering
Experience with Power Automate or similar tools
Master’s or Ph.D. in Data, Computer Science, Statistics, Mathematics, or a related field.
Knowledge of data governance frameworks
Strong Python and SQL skills
Strong data modeling and warehousing knowledge

Qualification wording

5+ years of experience in Data Engineering

Experience with Power Automate or similar tools

Master’s or Ph.D. in Data, Computer Science, Statistics, Mathematics, or a related field.

Knowledge of data governance frameworks

Strong Python and SQL skills

Strong data modeling and warehousing knowledge

Education & alternatives

Desirable: - Master’s or Ph.D. in Data, Computer Science, Statistics, Mathematics, or a related field. - Experience with Lakehouse architecture

Tools in this posting

Python
SQL
Azure
Spark
Power BI
Databricks

Source

- 5+ years of experience in Data Engineering - Strong Python and SQL skills - Experience with Spark/Databricks

- Integrate multiple data sources - Develop workflows using Microsoft tools (Power Automate, Logic Apps, Azure Data Factory) - Design end-to-end solutions within Microsoft ecosystem

- Experience in ETL/ELT pipelines - Strong Azure experience - Databricks Unity Catalog experience (governance, access control)

- Strong Python and SQL skills - Experience with Spark/Databricks - Experience in ETL/ELT pipelines

- Exposure to AI/GenAI or agent-based systems - Microsoft Power Platform (Power Apps, Power BI) IT at AVEVA

- Strong Azure experience - Databricks Unity Catalog experience (governance, access control) - Experience with Power Automate or similar tools

Job description

View original posting ↗

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.

For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

Job Title: Data Engineer

Location: Madrid

Employment Type: Permanent, full time (Hybrid role)

The job

We are looking for an experienced Data Engineer to join our Data Science & AI team at AVEVA. In this role, you will be responsible for designing, building, and maintaining scalable 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.

Key Responsibilities

Design, develop, and maintain robust, 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

Optimize data 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

Essential Requirements

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

Desirable:

Master’s or Ph.D. in Data, Computer Science, Statistics, Mathematics, or a related field.

Experience with Lakehouse architecture

MLOps familiarity

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)

IT at AVEVA

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.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.

Your next step

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Ask the employer about the salary range before committing time to the process.

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Source & posting history

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