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Senior Data Engineer

Job in Laval, Province de Québec, Canada
Listing for: Capgemini
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below

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 Description:

As a Senior Data Engineer, you will be a member of the ADE Data Development team with a specific focus on developing data solutions for Non‑Financial Risk Technology within Morgan Stanley. In this role, you will be primarily responsible for the design, implementation, and support of data workflows and ETL pipelines using Spark/Scala, PySpark/Python, APIs, libraries, views, and stored procedures. You will also perform data and process analysis, monitor and tune queries, and optimize data loads.

You will work closely with data providers, data scientists, developers, and data analytics teams to implement client‑specific business requirements and requests.

Your

Key Responsibilities:

  • Design, implement, and maintain Spark / PySpark / Scala / Python components, flows, and codebases for various business and technical requirements
  • Design, implement, and maintain RDBMS databases ensuring optimal performance, scalability, and data integrity
  • Monitor and optimize data access and storage patterns, identify and resolve bottlenecks, and apply performance‑tuning techniques
  • Write complex SQL queries to analyze data and create views for downstream reporting consumers
  • Implement and enforce data security and access controls in compliance with industry standards and regulations
  • Conduct database capacity planning, forecast future requirements, and implement scaling strategies
  • Troubleshoot and resolve complex database‑related issues in collaboration with development and operations teams
  • Use Git and Jenkins / CI‑CD pipelines for automated code deployment
  • Work with Agile development methodologies
  • Demonstrate strong communication skills-verbal and written-capable of effective collaboration across IT and Business teams across regions
  • Apply strong analytical skills to interpret business requirements and convert them into technical designs and solutions
  • Act as a self‑starter, capable of managing multiple concurrent projects with minimal supervision
  • Resolve conflicts in priorities and navigate complex, ever‑changing project needs
  • Exhibit strong problem‑solving skills and the ability to bring clarity to objectives, requirements, and priorities
Minimum Qualifications:
  • Bachelor’s degree in engineering, technology, or computer applications
  • 12+ years of experience in developing data components and pipelines using Python, Spark / PySpark / Scala, and SQL
  • Proficient in SQL query writing
  • Solid understanding of relational databases and Snowflake
  • Familiarity with the Software Development Life Cycle (SDLC)
  • Excellent communication skills and independent thinking ability
  • Strong skills in presenting to stakeholders
Additional Qualifications /

Skills:

  • Knowledge and experience with Amazon Web Services (AWS), specifically S3

The base compensation range for this role in the posted location is: 97,000 to 109,000

Capgemini 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…

Position Requirements
10+ Years work experience
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