Business Intelligence Engineer

Capgemini; Ontario; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading company seeks a Business Intelligence Engineer to develop database solutions for reporting and analytics. You will work in a dynamic environment, empowering teams to access and analyze data independently while tackling technical challenges. Your role involves designing data models, optimizing processes, and mentoring team members to enhance project outcomes. Join us to contribute to decision-making at a company handling billions of events daily.

Benefits

Healthcare including dental, vision, mental health

Financial well-being programs

Paid time off and paid holidays

Paid parental leave

Family building benefits

Social well-being benefits

Mentoring and coaching programs

Qualifications

• 5+ years of professional experience required.
• 3+ years in business intelligence or data engineering.
• Strong SQL skills and experience with data modeling.

Responsibilities

• Design, develop, and maintain data models for analytics.
• Implement and optimize ETL/ELT processes.
• Collaborate with teams to achieve project goals.

Skills

SQL

Communication

Data Analysis

Problem Solving

Education

University degree in Computer Related Sciences

Tools

Python

Scala

Snowflake

Job description

Capgemini Engineering seeks a Business Intelligence Engineer to develop database solutions for reporting and analytics.The objective is to establish a flawless data aggregation layer and reporting structure that satisfies our expanding business requirements. You will empower teams to access and analyze data independently, contributing as part of a self-organized team of seasoned data engineers. You will work in a stimulating and inventive environment, crafting the foundation for decision-making at a company handling billions of events per day. Investigate, build, and successfully implement solutions for existing technical challenges, while offering mentorship, instruction, direction, and leadership to achieve project goals.

Your Role

• Acquire tasks from the project lead or Team Lead (TL), prepare functional and design specifications, and approve them with all collaborators.
• Ensure assigned areas are delivered within set deadlines and required quality objectives.
• Provide estimations, agree on task duration with the manager, and contribute to the project plan of assigned areas.
• Analyze the scope of alternative solutions and make decisions about area implementation based on experience and technical expertise.
• We lead functional and architectural design of assigned areas, ensuring design decisions meet architectural and design requirements.
• Address area-level risks, provide, and implement mitigation plans.
• Report about area readiness / quality, and raise red flags in crisis situations beyond AOR and resolve crisis situations within AOR.
• Design, develop, and maintain robust data models to support analytical and product data needs across the organization.
• Implement and optimize ETL / ELT processes to ensure data quality, reliability, and performance.
• We take ownership of and define critical metrics for the business, including their measurement plans, data requirements, and reporting.
• Design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse.
• Initiate and conduct code reviews, build code standards, conventions, and guidelines and suggest technical and functional improvements to add customer value to the product.
• Collaborate with other teams to achieve project goals.

Your Skills and Experience

• 5+ years of professional experience.
• University degree in Computer Related Sciences or a similar field.
• 3+ years of experience working in business intelligence, data analytics, data engineering, or a similar role.
• Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3Nf, data vault).
• Proficiency in a programming language such as Python or Scala.
• Experience building reporting and dashboarding solutions using data lake / Snowflake or a similar ecosystem.
• Expert in database fundamentals, SQL, and performance tuning.
• Experience in maintaining data integrity and reliability by bringing to bear data quality frameworks and orchestration tools for seamless pipeline execution.
• Excellent communication skills and experience working with technical and non-technical teams.
• Comfortable working in a fast-paced environment, self-starter, and self-organizing.
• Ability to think strategically, analyze, and interpret market and consumer information.

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 diversity 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 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 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.

Applicants for employment in the US must have valid work authorization that does not now and / or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

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