You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
BMO

Senior Data Engineer

  • Office
  • 6+ years

Salary

$70,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

Application Deadline:

11/30/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

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 succeed

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Requirements

  • 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
  • Experience in large enterprise setting
  • Experience interacting with senior leaders
  • Experience working in highly regulated industries

Conditions

$70,000.00 - $150,000.00

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

Where you’d work

From the office

About the company

BMO

  • Industry: FinTech

Offices in Toronto, Canada, Canada

Also hiring in Calgary, Canada, New York, United States, United States and 2 more places

2 of their 74 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

6 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • AWS
  • Azure
  • Spark
  • LLMs
  • RAG
Seniority
Senior
Type
Full-time
Industry
FinTech
Specialty
Data Engineering
Region
Canada
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
7+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Azure
  • Spark
  • LLMs
  • RAG

Location

Work model
Office
Region
Canada
Offices
  • Toronto, Canada
  • Canada

Compensation

Salary
$70,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Data Engineer

    $345,000 - 385,000 / year

    • Hybrid · Seattle
    • Mid-Level
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Lead Data Engineer

    $110,000 - 180,000 / year

    • Office · US
    • Lead & Manager
    Direct apply
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Data Engineer

    $200,000 - 250,000 / year

    • Office · San Francisco
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Technical Lead, Data Platform Engineer

    Salary by agreement

    • Hybrid · London
    • Lead & Manager

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason