Senior Data Engineer
Senior Data Engineer on BMO's Data and AI Technology (DAT) Engineering team in Toronto, leading the design, build, testing and support of data and AI products serving the bank's digital, risk and compliance needs. Core stack includes SQL, Python, Spark, Scala, ETL/ELT, cloud platforms (AWS/Azure) and GenAI/RAG.
- Compensation
- CA$70K–CA$150K / yr
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5-7 years of relevant experience plus IT education and/or certifications
- Hands-on experience with ETL/ELT development/testing and data warehousing concepts
- Hands-on experience with SQL, NoSQL, Python, Spark, Scala
- Experience with SSIS, Glue, cloud storage and computing services (AWS, Azure), Hadoop, Netezza
- Experience with structured, semi-structured and unstructured datasets in batch and streaming
- Experience with data analysis, data mapping and data profiling
- Experience with AI concepts, GenAI, prompt engineering, RAG, and AI-powered tools in SDLC
- Experience in Agile delivery, including usage of JIRA
Nice to have
- Experience in large enterprise setting
- Experience interacting with senior leaders
- Experience working in highly regulated industries
Full description
Application Deadline:
11/30/2026Address:
4100 Gordon Baker RoadJob Family Group:
TechnologyAbout the team
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions.
We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.
What will you do
- Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products
- Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products
- Provide direction on technical designs and ensure alignment with standards and roadmaps
- Provide technical direction and guidance to junior and intermediate developers
- Identify, track, and perform regression testing on defects found
- Lead process improvement opportunities, to improve our delivery and deployment capabilities
- Accelerate development by building frameworks, automation scripts, and reusable code
- Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
What do you need to succeedMust have
- 5 - 7 years of relevant experience and IT education and/or certification(s)
- Hands on experience with ETL/ELT development/testing and data warehousing concepts
- Hands on experience with SQL, NoSQL, Python, Spark, Scala
- Experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza
- Experience with structured, semi structured and unstructured datasets in batch and streaming
- Experience with data analysis, data mapping and data profiling
- Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc...
- Experience in Agile delivery, including usage of JIRA