DATA ENGINEERING SPECIALIST

We are banking at another level.

Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act.

It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs.

Choosing BDC as your employer also means :

Flexible and competitive benefits , including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few

In addition to paid vacation each year, five personal days , sick days as necessary , and our offices are closed from December 25 to January 1

A hybrid work model that truly balances work and personal life

Opportunities for learning , training and development , and much more...

POSITION OVERVIEW

As a Data Engineer, you will be working at the data platform team and contribute to enterprise-wide best practices, processes, and platforms for BDC's strategy.

The bulk of the work will be in data exploration, data transformation, data preparation, designing, building, and developing pipelines to sustain the development of AI models and their operationalization.

You will work on the frameworks and libraries that data platform team creates and maintains to progress from data to value.

CHALLENGES TO BE MET

Participate with data analysts to map data fields to answer business needs

Curate, wrangle, and prepare data for use in AAAI models

Collaborate with Data Governance Office and participate in data governance practices (data lifecycle management, data quality management, data cataloging, and metadata management)

Design, code, unit test, and integrate new features and functionality to BDC’s data engineering libraries

Develop clean and maintainable code with continuous integration / continuous deployment (CI / CD) best practices to prevent integration problems and ensure the code is releasable at any point in time

Create and maintain datasets on Azure Data Lake (ADLS) utilizing Azure Databricks

Develop data transformation, and preparation with Python and Apache Spark

Contribute to designing and building the pipelines required for optimal data transformation and AI models operationalization using Databricks

Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, performance, and availability

Participate in scrum meetings and update stories on Azure DevOps

Participate in the estimation of the stories based on the defined Acceptance Criteria, Definition of Ready, and Definition of Done

WHAT WE ARE LOOKING FOR

A bachelor’s degree in IT, Computer Science, Statistics, Mathematics, or related fields

3+ years of industry experience as a Data Engineer

3+ years of experience with Databricks platform

3+ years of experience with Python programming language

1+ year of experience with data preparation for AI models

Experience with machine learning in Databricks

Experience with the Azure DevOps pipelines

Experience with MLOps

Experience with Agile processes

Strong interpersonal, strong communication and documentation

Bilingual (French & English)

Proudly one of Canada’s Top 100 Employers and one of Canada’s Best Diversity Employers , we are committed to fostering a diverse, equitable, inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work.

If you require an accommodation to complete your application, please do not hesitate to contact us at [email protected].

While we appreciate all applications, we advise that only the candidates selected to participate in the recruitment process will be contacted.