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Data Engineer

AVEVA

Indefinido Hybrid Senior 🇬🇧 English
Python SQL Spark Databricks Azure Azure Data Factory Power Automate Power Apps Power BI Unity Catalog Git CI/CD data modeling Lakehouse architecture MLOps streaming technologies

Descripcion del puesto

About the role

AVEVA is seeking an experienced Data Engineer to join its Data Science & AI team in Madrid. You will design, build, and maintain scalable data pipelines and architectures that support advanced analytics, machine learning, and AI agent development across the company.

Key responsibilities

  • Design, develop, and maintain robust, scalable data pipelines.
  • Build and manage data architectures, models, and lakehouse solutions.
  • Ensure data quality, governance, and security standards are met.
  • Collaborate with data scientists, AI engineers, and business stakeholders.
  • Optimize data processing for performance and cost‑efficiency.
  • Integrate multiple data sources using Microsoft tools (Power Automate, Logic Apps, Azure Data Factory).
  • Implement best practices for version control, CI/CD, and data engineering.
  • Support AI agents and automation workflows.

Required profile

  • 5+ years of professional experience in data engineering.
  • Strong background in Python and SQL.
  • Hands‑on experience with Spark, Databricks, and Azure services.
  • Proven ability to design ETL/ELT pipelines and data models.
  • Experience with Git, CI/CD pipelines, and data governance frameworks.

Required skills

  • Python
  • SQL
  • Apache Spark
  • Databricks (including Unity Catalog)
  • Microsoft Azure (Azure Data Factory, Power Automate, Logic Apps)
  • Data modeling and warehousing
  • Lakehouse architecture
  • MLOps concepts
  • Streaming technologies
  • Git
  • CI/CD
  • Power Platform (Power Apps, Power BI)

Questions fréquentes

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Le contrat proposé est un Indefinido.
Source : ats:workday

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