Data Engineer – Informatica IDMC & ETL Development

About the role

Build the data pipelines and integration solutions powering the future of financial services.

The Role

At Capco, we’re looking for an experienced Data Engineer to join our Technology & Engineering practice in Toronto. You’ll work with leading financial services clients to design, develop and optimize data integration solutions that enable reliable, scalable and efficient data processing.

With hands-on expertise in Informatica Intelligent Data Management Cloud (IDMC), ETL development and data pipeline engineering, you’ll help organizations modernize their data environments and improve how data is integrated, transformed and delivered across enterprise platforms.

As part of a collaborative consulting team, you’ll work closely with data architects, engineers and business stakeholders to translate complex data requirements into practical engineering solutions that support business objectives.

What You’ll Do

- Design, develop and maintain scalable ETL/ELT processes and data pipelines using Informatica IDMC to support enterprise data integration requirements.

- Build and optimize data transformation workflows, ensuring efficient data processing, reliable integration and consistent data quality across platforms.

- Develop and enhance data pipelines that extract, transform and load data from multiple sources into cloud-based and enterprise data environments.

- Collaborate with data architects, business analysts and technology teams to translate business requirements into effective technical designs and engineering solutions.

- Troubleshoot data integration issues, optimize pipeline performance and implement testing, monitoring and data validation processes to support reliable delivery.

What We’re Looking For

- Relevant experience in Data Engineering, ETL development or data integration, typically gained over 5–6 years, with demonstrated experience delivering enterprise data solutions.

- Hands-on expertise with Informatica IDMC, including developing, configuring and maintaining data integration workflows and pipelines.

- Comprehensive understanding of ETL/ELT concepts, data transformation techniques, data mapping and end-to-end data pipeline development.

- Proficiency in SQL, relational databases and data processing techniques, with experience optimizing queries and managing complex data transformations.

- Experience working with cross-functional teams to design, implement, test and support reliable, scalable data engineering solutions.

Bonus Points For

- Experience with DevOps practices, including CI/CD pipelines, version control, automated testing and deployment processes.

- Familiarity with cloud platforms such as AWS, Azure or Google Cloud and their associated data services.

- Experience with Python, scripting or automation to support data engineering and pipeline orchestration.