Senior Analytics Engineer, Lightspeed

• Note: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position
• Proficient with SQL and Python (or equivalent language)
• Experience with MPP data warehouse (we use BigQuery)
• Proficiency in performing data profiling, data mapping and data quality validation
• Experience with data orchestrator
• Solid understanding of industry standards for data warehousing and data modelling/ DBT/Dataform
• Proficiency with data environments (we use GCP) as well as containerization solutions
• Proficiency in source control, CI/CD and automated testing
• A security mindset with the ability to work with compliance protocols (SOX, GDPR)
• Excellent communication skills and ability to communicate with technical and non-technical stakeholders
• Excellent problem-solving skills
• Ability to work independently and in teams
• Self-motivated and great at taking initiative

Desirable

• Lightspeed Financial Services is growing quickly and we are looking for a talented and passionate Senior Analytics Engineer to join our Financial Services Data team. This is a great opportunity to be a part of an early team and help define the data landscape for very fast-growing, global, Financial Services products
• If you have worked on data pipelines, have great communication skills, are proficient at data modelling, and have enabled teams to gather both predictive and historical insights, you might be a great fit for this role!
• This role also involves collaborating with multiple functions across Lightspeed, including Application Engineering, Product, Operations, Risk and Finance, among others
• Cleanse and transform raw data into business logic to help stakeholders build reports and data models
• Ensure the right data gets to the right people at the right time
• Collaborate with the Central Data Team to build data pipelines in accordance with shared best practices and design, and feed proper data models for usage
• Act as a champion for data quality and usability across the Financial Services organization
• Ensure availability, quality and searchability of data and documentation
• Write, clean and maintainable queries and scripts that are highly performing, well-structured and easy to understand and extend
• Automate testing of data models and add appropriate validations to ensure quality
• Help define and improve our internal standards for data models and infrastructure
• Help define the data vision and roadmap for a new and fast-growing product
• Mentor and help grow the team