Product Software Engineer - Senior Data Engineer

Capgemini; Remote; CAD 95,000 - 120,000; Full time

Job summary

A global technology consulting firm is looking for a Senior Data Engineer to design and build scalable data solutions for better decision-making across the organization. Candidates should have over 5 years of experience in data engineering, proficient in Python and SQL, with expertise in Big Data technologies like Hadoop and Kafka. This remote role offers a comprehensive benefits package, including healthcare and financial well-being programs, while promoting inclusion and career growth.

Benefits

Healthcare including dental and vision

Financial well-being programs like 401(k)

Paid parental leave

Mentoring and coaching programs

Qualifications

• 5+ years in software development or data engineering roles.
• Strong proficiency in Python, SQL, Spark, and experience with Scala.
• Hands-on experience with Big Data technologies.

Responsibilities

• Design and maintain robust data pipelines for diverse sources.
• Develop and optimize data models for analytics strategies.
• Ensure data quality by implementing validation processes.

Skills

Python

SQL

Spark

Scala

ETL processes

Big Data technologies

Education

Bachelor’s degree in Computer Science

Tools

Hadoop

Hive

Airflow

Kafka

AWS

Job description

Job Title: Senior Data Engineer – Big Data Solutions
Location: Remote in PST
About the job you’re considering:

Join Capgemini as a Senior Data Engineer and play a pivotal role in transforming how businesses leverage data. You’ll design and build scalable data solutions that power decision‑making and innovation across the organization.

Your role

• Design and maintain robust, efficient data pipelines to collect, process, and store data from diverse sources (user interactions, listings, external feeds).
• Develop and optimize data models for advanced analytics and merchandising strategies.
• Ensure data quality by implementing validation, consistency checks, and monitoring processes.
• Build scalable pipelines using SparkSQL, Python, and Scala, leveraging Airflow for orchestration.
• Collaborate cross‑functionally with Data Scientists, Product Managers, Finance, and Engineering teams to deliver impactful data solutions.
• Contribute to community standards by influencing tooling and best practices within Capgemini’s Data Engineering ecosystem.
• Improve code and data quality through automation and proactive issue detection.

Your skills and experience

• 5+ years in software development or data engineering roles.
• Strong proficiency in Python, SQL, Spark, and experience with Scala.
• Hands‑on experience with Big Data technologies: Hadoop, Hive, Presto, Flink, Kafka.
• Expertise in ETL processes, data warehousing, and distributed systems.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Ability to analyze large datasets, identify gaps, and deliver actionable insights.
• Strong communication skills for engaging with technical and non‑technical stakeholders.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Skills

• Experience with Airflow or similar workflow orchestration tools.
• Knowledge of data governance, security, and compliance best practices.
• Passion for mentoring and contributing to a collaborative team culture.

Life at Capgemini

Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:

Healthcare including dental, vision, mental health, and well‑being programs

Financial well‑being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well‑being benefits like subsidized back‑up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

About Capgemini

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. The Group reported 2024 global revenues of €22.1 billion.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. 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 convey 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations 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.