About the role
Data Engineer + AI We’re working with a fast-growing investment firm focused on delivering customized liquidity solutions across private equity portfolios.
The firm operates in a high-performance, entrepreneurial environment and views technology as a true competitive advantage. As the business grows, they’re continuing to expand their capabilities across data engineering, analytics, cloud infrastructure, and applied AI
. They’re now hiring an Associate, Data Engineer to join the team building and scaling the firm’s cloud data platfor
m. This person will help design robust data pipelines, build high-quality data models, and support AI-driven approaches to automate and improve data workflows across the organizati on.You’ll work closely with teams across Portfolio Analytics, Finance, and Operations to turn complex data needs into scalable solutions that support better decision-making, reduce risk, and help the firm move quick
ly. What you’ll work on:Building and maintaining ELT/ETL pipelines and data mo delsWorking with cloud data platforms, ideally GCP / BigQ ueryDeveloping version-controlled SQL views, scheduled queries, and stored proced uresUsing Python for data pipeline development, scripting, and automa tionSupporting deployment and automation workflows with tools like Terraform and GitHub Act ionsExploring practical AI use cases across data workflows, including documentation, anomaly detection, data quality, and intelligent transformat ionsCollaborating with business and technical teams to translate requirements into reliable data prod
ucts Ideal pro file:3+ years in data engineering, analytics engineering, or a related technical roleStrong SQL, including complex joins, CTEs, window functions, and query optimiz ationStrong Python for data workflows and autom ationExperience with cloud data platforms; GCP / BigQuery strongly pref erredExposure to CI/CD, infrastructure-as-code, and modern development work flowsCuriosity around AI, LLMs, AI-assisted development, MCP servers, and practical autom ationStrong communication skills and the ability to work with both technical and business stakeho
lders
Not the right fit? Search for Data Engineer + AI jobs in Toronto, Ontario, Canada
About Found People Inc.
In today's dynamic and fiercely competitive business environment, and with a war on talent, identifying and finding the right talent is crucial for an organization's success and growth. It's essential to ensure the right fit from the start. That's where Found People Inc steps in. Found People Inc is Canada's premier boutique contingency recruitment firm. Their expertise is in recruiting top talent and building high-performance teams for startups, SaaS, and Fortune 500 companies focusing on mid to senior-level roles in technology, sales, marketing, analytics, product, and business teams. Their proven track record speaks volumes. Found People Inc. has successfully secured exceptional talent and crafted high-performance teams for various industries, including technology, e-commerce, health tech, SaaS, digital media, and fintech.
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About the role
Data Engineer + AI We’re working with a fast-growing investment firm focused on delivering customized liquidity solutions across private equity portfolios.
The firm operates in a high-performance, entrepreneurial environment and views technology as a true competitive advantage. As the business grows, they’re continuing to expand their capabilities across data engineering, analytics, cloud infrastructure, and applied AI
. They’re now hiring an Associate, Data Engineer to join the team building and scaling the firm’s cloud data platfor
m. This person will help design robust data pipelines, build high-quality data models, and support AI-driven approaches to automate and improve data workflows across the organizati on.You’ll work closely with teams across Portfolio Analytics, Finance, and Operations to turn complex data needs into scalable solutions that support better decision-making, reduce risk, and help the firm move quick
ly. What you’ll work on:Building and maintaining ELT/ETL pipelines and data mo delsWorking with cloud data platforms, ideally GCP / BigQ ueryDeveloping version-controlled SQL views, scheduled queries, and stored proced uresUsing Python for data pipeline development, scripting, and automa tionSupporting deployment and automation workflows with tools like Terraform and GitHub Act ionsExploring practical AI use cases across data workflows, including documentation, anomaly detection, data quality, and intelligent transformat ionsCollaborating with business and technical teams to translate requirements into reliable data prod
ucts Ideal pro file:3+ years in data engineering, analytics engineering, or a related technical roleStrong SQL, including complex joins, CTEs, window functions, and query optimiz ationStrong Python for data workflows and autom ationExperience with cloud data platforms; GCP / BigQuery strongly pref erredExposure to CI/CD, infrastructure-as-code, and modern development work flowsCuriosity around AI, LLMs, AI-assisted development, MCP servers, and practical autom ationStrong communication skills and the ability to work with both technical and business stakeho
lders
Not the right fit? Search for Data Engineer + AI jobs in Toronto, Ontario, Canada
About Found People Inc.
In today's dynamic and fiercely competitive business environment, and with a war on talent, identifying and finding the right talent is crucial for an organization's success and growth. It's essential to ensure the right fit from the start. That's where Found People Inc steps in. Found People Inc is Canada's premier boutique contingency recruitment firm. Their expertise is in recruiting top talent and building high-performance teams for startups, SaaS, and Fortune 500 companies focusing on mid to senior-level roles in technology, sales, marketing, analytics, product, and business teams. Their proven track record speaks volumes. Found People Inc. has successfully secured exceptional talent and crafted high-performance teams for various industries, including technology, e-commerce, health tech, SaaS, digital media, and fintech.