Data Engineer (Databricks) — Azure Lakehouse & Global Projects

Accenture PLC; Madrid; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Training & Certifications

Job summary

Avanade in Madrid seeks a Data Engineer to design, build, and maintain scalable data pipelines using Databricks and Azure cloud tools. The role focuses on Python, PySpark, and SQL to transform data and support data-driven decisions for international projects.

You will collaborate with architects, scientists, and stakeholders, ensuring data quality, governance, and secure, efficient data solutions across platforms.

Qualifications

• Strong knowledge of Python / PySpark and SQL. Experience designing and implementing ETL/ELT pipelines.
• Experience with Delta Lake, Lakehouse architectures, and data modelling.
• Familiarity with cloud data platforms, ideally Microsoft Azure.
• Understanding of CI/CD, Git and DevOps practices applied to data solutions.
• Strong English communication skills in international environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build modern data solutions using Databricks and cloud technologies.
• Develop and optimize data transformations using Python, PySpark and SQL.
• Work with Delta Lake and lakehouse architectures to process large volumes of data.
• Collaborate with Data Architects, Data Scientists, BI specialists, and business stakeholders.
• Apply best practices around data quality, governance, security, and maintainability.
• Participate in international projects, communicating with clients and colleagues in English.

Skills

Python

PySpark

SQL

Databricks

CI/CD

Git

DevOps

Tools

Azure Data Factory

Azure Data Lake Storage

Synapse Analytics

Microsoft Fabric

Unity Catalog

Job description

Avanade in Madrid seeks a Data Engineer to design, build, and maintain scalable data pipelines using Databricks and Azure cloud tools. The role focuses on Python, PySpark, and SQL to transform data and support data-driven decisions for international projects.

You will collaborate with architects, scientists, and stakeholders, ensuring data quality, governance, and secure, efficient data solutions across platforms.