Senior Data Engineer (Permanent)

buscojobs España; Barcelona; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading organization is seeking a Senior Data Engineer to join their team in Barcelona. This permanent role involves architecting and optimizing a cloud-first data platform, utilizing expertise in Databricks and Azure Data Factory. Ideal candidates will have extensive experience in data engineering, a passion for analytics, and the ability to collaborate across teams to enhance data accessibility and quality.

Servicios

Competitive salary and benefits package

Chance to work on modern cloud-first data architecture

Collaborative and innovative work culture

Formación

• 5+ years of experience in data engineering, preferably in a cloud environment.
• Deep hands-on experience with Databricks and Azure Data Factory.
• Proficient in Python, especially with PySpark and Pandas.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Develop data integration workflows using Azure Data Factory.
• Write clean, maintainable code in Python for data transformations.

Conocimientos

Databricks

Azure Data Factory

Python

PySpark

Pandas

Data modeling

ETL/ELT processes

Data orchestration

Agile environment

Descripción del empleo

Job Title : Senior Data EngineerLocation : Barcelona, SpainType : Permanent, Full-timeStart Date : ASAPAbout the Role : We’re hiring a Senior Data Engineer for a permanent position with one of our leading clients, based in Barcelona. This is a fantastic opportunity to be part of a modern data-driven organization where you’ll play a key role in developing and optimizing a next-generation Azure-based Data Analytics Platform.The ideal candidate is passionate about building scalable data infrastructure and has deep hands-on experience with Databricks, Azure Data Factory, and Python for advanced data processing (using PySpark and Pandas). You’ll be involved in both the architecture and execution of robust data solutions that support business intelligence, analytics, and decision-making processes.What You’ll Do :

• Design, build, and maintain scalable and efficient data pipelines.
• Develop data integration workflows using Azure Data Factory and orchestrate jobs across systems.
• Build and maintain data lakehouse structures and pipelines using Databricks.
• Optimize data flows for performance, reliability, and scalability.
• Write clean, maintainable code in Python, leveraging PySpark and Pandas for data transformations.
• Collaborate with analysts, data scientists, and business teams to ensure data is accessible and high quality.
• Ensure adherence to best practices in data engineering and governance.
• Troubleshoot and resolve issues across the data stack.

Who You Are :

5+ years of experience in data engineering, preferably in a cloud environment.

Strong hands-on experience with Databricks and Azure Data Factory .

Proficient in Python for data processing, especially with PySpark and Pandas .

Experience with building and optimizing data lakes and lakehouses.

Solid understanding of data modeling , ETL / ELT processes , and data orchestration .

Comfortable working in an agile , collaborative environment.

Excellent communication skills and a team-oriented mindset.

Must be eligible to work in Spain full-time.

What’s On Offer :

Permanent position with a competitive salary and benefits package

Chance to work on a modern, cloud-first data architecture

Collaborative and innovative work culture in the heart of Barcelona

Exposure to the latest tools and technologies in data engineering

FULL_TIME

Consultor / a : Ezequiel Moraglio

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