Data Engineer

 

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

ABOUT CAPCO

Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.  You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

Job Overview:
We are looking for a seasoned Data Engineer with extensive experience in big data platforms and relational databases. The ideal candidate will have strong expertise in Teradata Tools and Utilities, advanced programming skills, and a solid understanding of data modeling, performance tuning, and CI/CD practices. This role involves transforming complex business requirements into scalable technical solutions and collaborating effectively across distributed teams.   Key Responsibilities:

• Design, develop, and maintain complex analytical queries and data pipelines primarily using Teradata and other RDBMS platforms (Oracle, PostgreSQL).
• Implement and optimize data models for Enterprise Data Warehouses, Data Marts, and Business Intelligence reporting environments.
• Perform performance tuning and database management to ensure efficiency and scalability of data systems.
• Translate business use cases and requirements into technical solutions that drive actionable insights.
• Utilize CI/CD development and deployment tools, preferably Azure DevOps, to streamline data engineering workflows.
• Collaborate closely with cross-functional and remote teams to deliver integrated data solutions.
• Support integration of data systems with other applications and platforms within the enterprise ecosystem.
• Ensure data quality, consistency, and security throughout all data engineering processes.