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Senior Data Engineer - Teradata

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Summary

Senior data engineer designing, building, and maintaining ETL data pipelines in a banking environment, working with large-scale data using Teradata and Ab Initio, scheduling via Control-M, on a hybrid basis in Portugal (min. 2 days/week on-site).

Overview:

We are looking for a Senior Data Engineer to join the Data Factory team, contributing to the design, development, and maintenance of data pipelines within a banking environment. The role requires strong expertise in data processing, ETL workflows, and legacy data ecosystems, with a focus on reliability, performance, and collaboration within agile teams.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes
  • Work with large-scale data environments using Teradata and Ab Initio
  • Ensure data quality, integrity, and performance optimization
  • Manage and schedule workflows using Control-M
  • Contribute to documentation, architecture, and technical design
  • Collaborate with cross-functional teams within the Data Factory
  • Participate in agile ceremonies and continuous improvement initiatives

Key Requirements:

  • Strong expertise in SQL (Teradata)
  • Experience with Teradata environments
  • Hands-on experience with Ab Initio
  • Experience with Control-M (job scheduling)
  • Solid knowledge of Unix environments
  • Familiarity with CI/CD practices (basic level)
  • Experience with collaboration tools: Git, Jira, Confluence, MEGA, Zeenea

Nice to Have:

  • Experience with Datastage

Other Details:

Full-time position with a hybrid working model, requiring a minimum of 2 days/week on-site. The role is situated within a dynamic banking environment.

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