Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer (Data Factory team)

• Focus: Data pipeline and ETL development in a banking environment

• Work model: Full-time, hybrid (minimum 2 days/week on-site)

Description

Design, develop, and maintain reliable data pipelines and ETL processes for a banking environment. Work with large-scale data ecosystems using Teradata and Ab Initio, ensuring data quality, integrity, and performance optimization. Manage workflow scheduling with Control-M and collaborate within agile teams to support technical documentation and continuous improvement.

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

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

Benefits

• Full-time position

• Hybrid working model with at least 2 days/week on-site

• Work in a dynamic banking environment on data engineering initiatives