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# Data Engineer

- **Company:** Axpo Group
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Financial Software, Python (Programming Language), Microsoft Software, Power BI, Standard Sql, Software Engineering, SQL Databases, Systems Integration, Microsoft Power Automate, Backend, Pyspark, Tools for Reporting, Data Pipelines, Databricks
- **Published:** September 10, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Experience in data engineering, software engineering, business intelligence or a related technical role
 + Practical experience with Python and PySpark-based data pipelines, plus good knowledge of SQL and data modelling
 + Hands-on experience with Databricks or a comparable modern data platform
 + Experience building dashboards or reporting solutions - ideally with Power BI
 + You have experience with workflow or process automation, ideally using Microsoft Power Automate
 + Strong communicator who enjoys explaining technical topics to non-technical stakeholders; even if you don't meet every point above, we look forward to your application

## Description

Help us reshape how Finance works at Axpo. As a core member of our Finance Digital & Data team, you'll connect data engineering, automation and dashboards into practical solutions that make Finance processes faster and more reliable.
What you will do:

 + Build and operate data pipelines on Databricks using Python (PySpark) and SQL
 + Design curated, business-ready datasets and reusable data products for Finance reporting and automation
 + Develop workflows with Power Automate that connect Databricks, SQL databases, ERP systems and Microsoft services
 + Create and maintain dashboards and reporting solutions that support operational decision-making
 + Support colleagues in Finance in building and maintaining their own front-end solutions, such as Power BI reports and apps
 + Contribute backend components and integrations that connect Finance applications, data products and user-facing tools


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