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Senior Data Engineer (Databricks) – Banking Sector

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Senior Data Engineer (Databricks) – Banking Sector

Taleo

Senior Data Engineer (Databricks) – Banking Sector

Skills

DatabricksAzure

6 months ago

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Important information


Contract type:

Permanent

Salary:

Salary according to profile

Work mode:

Remote

Published on:

23 April 2026

What they need


We are currently looking for a Senior Data Engineer to join an international consulting environment and contribute to a high-impact project within the banking sector.

The position is based in Spain and offers full remote flexibility.

In this role, you will be involved in the design and development of modern data platforms in a cloud-based ecosystem, with a strong focus on Databricks. You will work closely with cross-functional teams to deliver scalable and efficient data solutions.

Your main responsibilities will include:

  • Designing, building, and optimizing scalable data pipelines and architectures

  • Working extensively with Databricks in a cloud environment (Azure preferred)

  • Supporting the migration of legacy systems to modern Lakehouse architectures

  • Ensuring data quality, performance, and reliability across platforms

  • Collaborating with business and technical teams to deliver data-driven solutions

This is an excellent opportunity to be part of a large-scale data transformation project within the financial services industry.

Profile wanted


  • Strong experience as a Data Engineer in complex environments

  • Strong experience with Databricks (mandatory)

  • Solid knowledge of Python and SQL

  • Experience with cloud platforms (Azure preferred)

  • Experience building and optimizing data pipelines

  • Good understanding of data architecture and data modeling

  • Ability to work in international and cross-functional teams

  • Fluent in English

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