You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Capco

Data Engineer – Informatica IDMC & ETL Development

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $95K - 145K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

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

Responsibilities

  • 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.
  • 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.

Requirements

  • 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.
  • Understanding of Data Governance, Data Quality and Data Lineage principles within enterprise data environments.
  • Experience delivering data integration solutions within banking, capital markets or other financial services environments.

Conditions

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000 - $152,000 CAD

Benefits

  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across FS & Energy.
  • We offer a competitive, people-first benefits package designed to support every aspect of your life:
  • Comprehensive Benefits Coverage: 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
  • Retirement Savings Program: Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution.
  • Virtual Health Care: Company-paid program available to all employees and their dependents/partners.
  • Employee & Family Assistance Program (EFAP): Company-paid support services for employees and their dependents/partners.
  • Parental Leave Top-Up: Enhanced parental leave benefits available from Day 1 of employment.
  • New Parent Gift: A company-sponsored gift to celebrate the arrival of a new child.
  • Wellness Support: Fitness reimbursement benefit to promote health and well-being.
  • Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.
  • Inclusion at Capco
  • We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
  • Use of Artificial Intelligence in Talent Acquisition
  • At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
  • AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
  • Why This Role Is Open
  • We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

Where you’d work

From the office

About the company

Capco

Office in Toronto, Canada

Also hiring in Brussels, Belgium, Warsaw, Poland, Prague, Czechia and 14 more places

3 of their 63 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

Still hiring?

13 checks

No red flags

How crowded?

6 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details10 facts · Role, Location, Compensation
Tech stack
  • Python
  • SQL
  • AWS
  • Google Cloud
  • Azure
Equity
Equity offered
Specialty
Data Engineering
Region
Canada
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
6+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Google Cloud
  • Azure

Location

Work model
Office
Region
Canada
Office
  • Toronto, Canada

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason