Big Data Engineer

About the role

We are looking for a Big Data Engineer to support the design, development, and optimization of Fairstone's data pipelines and analytics infrastructure. This role is ideal for someone who has early career experience in data engineering and is looking to deepen their skills in cloud-based big data platforms while working alongside experienced data engineers, analytics professionals, and data scientists. You will contribute to building reliable, scalable, and secure data solutions that enable reporting, analytics, and data science use cases across the organization.

Responsibilities

• Support the development and maintenance of cloud-based data pipelines for extracting, transforming, and loading data from multiple internal and external sources.
• Work closely with data engineers, data scientists, and analysts to ensure data is accessible, reliable, and well-structured for analytics and reporting.
• Assist in implementing data governance, data quality, and security standards, including collaborating with data custodians across different departments as needed.
• Contribute to the design and operation of data lake and analytics solutions using AWS Glue, AWS Lake Formation, and related services.
• Perform basic root cause analysis and troubleshooting on data pipelines to identify data quality or performance issues.
• Help build and maintain datasets and data models that support key performance indicators and customer analytics.
• Continuously searching for opportunities to improve efficiency, reliability, and performance within existing data systems.
• Ensure solutions adhere to Fairstone's information security and data privacy policies.
• Participate in Agile/Scrum ceremonies, sprint planning, and team retrospectives.

What we're looking for

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative discipline.
• 1-3 years of experience in a data engineering or similar analytics-focused engineering role.
• Hands-on experience working with data pipelines, ETL/ELT processes, or data integration workflows.
• Experience working with structured and semi-structured datasets.
• Ability to collaborate with cross-functional teams.
• Experience working in or exposure to Agile/Scrum development environments.
• SQL for querying and data validation.
• Python (or similar scripting language) for data processing or automation.
• AWS services such as S3, Glue, Athena, RDS, or Redshift (hands-on or project-based experience).
• Experience or academic exposure to Databricks.
• Exposure to data lake or cloud analytics architectures.
• Coursework or experience related to data governance or data security.

What you'll love about working here

• Award-Winning Culture: We're proud to be recognized as a Great Place to Work Canada 2025 and one of Montreal's Top Employers 2025 by Canada's Top 100 Employers.
• Work-Life Balance: Enjoy flexibility with our hybrid work model designed to support your lifestyle.
• Time to Recharge: Generous vacation based on your role, statutory holidays, plus 6 wellness days to prioritize your well-being.
• Compensation Package: Competitive base salary plus an annual incentive bonus tied to performance.
• Comprehensive Benefits: Robust health and dental coverage through Manulife, as well as virtual healthcare through Dialogue.
• Future-Ready Savings: Group Retirement Savings Plan with up to 7% employer match.
• Exclusive Perks: Discounts from top retailers via WorkPerks, plus location-based perks like gym memberships and Toronto Bike Share.
• On-Site Fitness: Gym access at our London and Montreal offices.
• Continuous Growth: Education Assistance Program and Fairstone Academy for training and skill development.
• Family Support: Parental leave top-up program to help you during life's big moments.
• Community Impact: One paid volunteer day to give back to causes that matter to you.

What you can expect - pay & process

• Expected base salary range is 85,000$ - 95,000$ , plus the opportunity to earn an annual incentive bonus tied to performance.
• This posting is for an existing vacancy within our organization.
• Artificial intelligence may be used in parts of the recruitment process.
• All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.