Postuler

Publié le mois dernier

Data Engineer

@ Bank of Montreal

Toronto, Ontario

Temps plein2+ ans d’expérience
Postuler
SIGNAUX

En bref

Bank of Montreal is hiring a full-time Data Engineer in its Technology group to plan, build, test and support data and AI products for business stakeholders. The role requires at least 2 years of relevant experience and hands-on work with ETL/ELT, data warehousing, SQL and Spark, working in an Agile environment. The posted salary range is $55,500 to $120,000 per year.

Responsabilités :

  • Plan, design, develop, test and support data and AI products
  • Translate business requirements into data and AI solutions
  • Perform regression testing and track defects
  • Build frameworks, automation scripts and reusable code
  • Mentor colleagues and share knowledge

Résumé des exigences :

  • 2 years of relevant experience and IT education or certification
  • Hands-on ETL/ELT and data warehousing experience
  • Hands-on SQL, NoSQL, Python, Spark and Scala
  • Experience with cloud data services such as AWS or Azure
  • Agile delivery experience including JIRA

Outils et compétences

Avantages mentionnés

Assurance maladieAssurance vieRégime de retraiteAide aux études
Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-09-28
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineTI
Expérience2 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationCollégial (DEC) (préféré)
Avantages mentionnésRégime de retraite, Aide aux études, Prime de rendement

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Bank of Montreal

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so you can build a meaningful career and thrive as a part of a winning culture.  ​ Sound like your kind of place? Then we should be co-workers.

Abonnés LinkedIn
529 147
Personnes associées sur LinkedIn
59 168
Bureaux déclarés
  • First Canadian Place, 100 King Street, Toronto, ON M5X 1A1, CA
  • 111 W Monroe St, Chicago, IL 60603, US
Catégories d’activité
  • Wealth Management
  • Finance
  • Banking
  • Financial Services
  • Crowdfunding
Autres noms enregistrés
  • Bank of Montreal
  • BMO
Spécialités
  • Personal Banking
  • Commercial Banking
  • Wealth Management
  • Capital Markets
  • and Asset Management
Le profil indique une agence de recrutement
Non
Investissement total déclaré
8 114 072 573

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so…

ChampValeur
SecteurFinancial Services
Taille10,001+ employees
Siège socialToronto, ON
Type d’organisationPublic Company
SpécialitésPersonal BankingCommercial BankingWealth ManagementCapital Marketsand Asset Management
Offres sur Jobsy963
LinkedInVoir la page
Description

Application Deadline:

11/30/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

About 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

  • 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
  • Technical designs and ensure alignment with standards and roadmaps
  • Identify, track, and perform regression testing on defects found
  • 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

Must have

  • 2 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

Nice to have

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

Salary:

$55,500.00 - $120,000.00

Pay Type:

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

About Us

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.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Emplois semblables

  • Senior Data Engineer

    Mississauga, ON

    Capgemini

    8+ ansCandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.

    Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake

  • Senior Data Engineer

    Toronto, ON
    Temps plein

    Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…

    5+ ans3+ gestionCandidates need 5+ years of data engineering experience and 3+ years of technical leadership, with strong SQL, Python and Azure skills and experience with Databricks. Azure Data Factory, Power BI or Microsoft Fabric experience is an asset.

    SQL, Python, Microsoft Azure, Databricks, Azure Data Factory, Power BI

  • Data Engineer II

    Brampton, ON
    Temps plein

    Loblaw

    3+ ansCandidates need 3+ years in data, software or cloud engineering with production experience. They should know Python, SQL, Git, GCP, Kubernetes, Docker, Helm, CI/CD and Apache Airflow.

    GCP, BigQuery, Google Cloud Storage, GKE, Docker, Helm

  • Senior Data Engineer (Technology Advisory)

    Toronto, ON
    Contrat

    Jarvis Consulting Group

    7+ ansCandidates need 7+ years of data engineering experience, solid Databricks and Spark development skills, and experience with Hadoop, streaming tools and cloud platforms. A university degree in a relevant STEM field and strong communication skills are also needed.

    Databricks, Spark, Hadoop, Hive, HDFS, Kafka

    Data Engineer

    Toronto, ON

    Jarvis Consulting Group

    1+ ansCandidates need a bachelor's degree in business or a similar field and about one year of compliance or similar work. Strong attention to detail, communication skills and the ability to work under pressure are also required.

  • Data Engineer

    Guelph, ON

    Royal Distributing

    2+ ansCandidates need 2 to 4 years in data engineering, analytics engineering or a strong BI role with pipeline work, plus strong SQL, Python and cloud warehouse experience, Snowflake preferred. They must have production ETL or orchestration experience and a disciplined approach to validating data.

    Snowflake, Python, Git

  • Data Engineer (Sports & Prediction Markets)

    Toronto, ON
    Temps plein

    Betstamp Ventures

    Candidates need strong backend programming fundamentals (Go, Java, C#, Rust, C++, Kotlin or server-side TypeScript), comfort with SQL and query performance, some Linux and container experience, and thoughtful use of AI coding tools. Based in Toronto or willing to relocate.

    Go, PostgreSQL, ClickHouse, Redis Streams, Dragonfly, RabbitMQ

  • Data Engineer - Snowflake, dbtCore/Cloud, AWS

    Markham, ON

    Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise

    6+ ansCandidates need 6+ years of data engineering experience, including 3+ years with Snowflake, dbt and AWS. Strong coding skills in SQL and Python and experience with orchestration tools are required, and insurance domain knowledge is an asset.

    Snowflake, dbt Core, dbt Cloud, AWS, Terraform, Airflow

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.