Lead Data Engineer

Capgemini; Toronto; Hybrid; CAD 91,000 - 100,000; Full time

Job summary

Capgemini in Toronto is seeking an experienced Data Engineer to own and operate production data pipelines. You will design, monitor, and optimize CDC-driven ingestion with Debezium and GCP-based services.

This role requires 8+ years in data engineering, strong SQL with PostgreSQL, and hands-on Java development. You will collaborate across teams, implement RCA for incidents, and help maintain robust, scalable data platforms in a hybrid onsite environment.

Qualifications

• 8+ years of experience in production data engineering pipelines.
• Experience with CDC using Debezium and file-based ingestion (CSV).
• Strong knowledge of GCP services including Pub/Sub, Dataflow, and Datastream.
• Experience with Cloud SQL PostgreSQL and data staging/curation layers.

Responsibilities

• Provide end-to-end production support for data ingestion and processing pipelines.
• Monitor CDC pipelines and batch ingestion across multiple source systems.
• Triage incidents, perform RCA, and implement preventive fixes.
• Work with GCP Pub/Sub topics, subscriptions, DLQs, and alerting mechanisms for pipeline monitoring.
• Support data processing layers including staging and transformed datasets.
• Coordinate deployments and testing across lower environments.
• Lead AMS operations, manage incident communication and stakeholder updates.
• Maintain runbooks and guide L2/L3 support teams.
• Identify recurring issues and drive improvements for reliability.

Skills

CDC with Debezium

GCP Dataflow Pub/Sub Datastream

PostgreSQL (Cloud SQL)

Java for data processing

Data ingestion pipelines

Incident management

Tools

Apache Beam (Dataflow)

Debezium

Google Cloud Platform

CSV data ingestion

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job LocatedJob is located in Toronto - Onsite HybridYour Role 8+ years of experience in supporting and managing data engineering pipelines in production environments• Strong experience in Change Data Capture (CDC) using tools like Debezium and handling file-based ingestion (CSV)• Hands-on experience with GCP technologies including Pub/Sub, Dataflow (Apache Beam), and Datastream• Experience working with Cloud SQL (PostgreSQL) environments• Experience in managing staging and curated data layers for downstream consumption• Strong understanding of production monitoring, alerting, and incident management processes• Experience in API-based integrations within data pipelines• Strong programming experience in Java for data processing and support activitiesRoles & Responsibilities• Provide end-to-end production support for data ingestion and processing pipelines• Monitor and manage CDC pipelines and batch ingestion processes for multiple source systems• Handle incidents, perform root cause analysis (RCA), and implement preventive fixes• Work with GCP Pub/Sub topics, subscriptions, DLQs, and alerting mechanisms for pipeline monitoring• Support data processing layers including staging and transformed datasets• Perform production deployments and coordinate testing across lower environments• Troubleshoot and resolve data, performance, and pipeline failures within SLAs• Serve as technical lead for AMS support, coordinating day-to-day operations• Own incident communication, escalation, and stakeholder updates• Maintain operational runbooks and provide guidance to L2/L3 support teams• Identify recurring issues and drive continuous improvements for system stability and reliability'The base compensation range for this role in the posted location is: 91000 - 100000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.