Developer
- Source: LinkedIn
- Bank of Canada
- Remote
- Ottawa
- Full-Time
- Mid level
Job Description
Take a central role The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada. No other employer in the country offers you the unique opportunity to work at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated to excel in our environment.
Building on the principles that have always guided us – excellence, integrity and respect – we strive to be forward-looking and innovative, to welcome people with diverse perspectives and talents, and to earn trust by living up to our commitments and by clearly explaining the intent of our policies and actions.
With our defined-benefit pension plan, benefits, and high flexibility for work life balance - find out more about why we are annually ranked as one of Canada’s top employers: Working Here - Bank of Canada
Find out more about the next steps in our Recruitment process .
This competition will be used to fill Regular and Term opportunities at the Job Grade 15 and 16 level. **What You Need To Know** As a member of our multidisciplinary Data Operations team, you will collaborate with other developers, data analysts, data modelers, architects and business stakeholders to create reliable and scalable data pipelines using Databricks, Python, SQL, and cloud data technologies. You will contribute to the development of ingestion workflows, transformations, data quality checks, and automation that enable the Bank to effectively manage and leverage its data.
You will follow development standards and established patterns to ensure consistency in design and delivery of supported data pipelines, while contributing to the enhancements of these standards and better ways of working. You will support your peers by sharing your knowledge and benefit yourself by learning from the experience of others.
As a Developer, you will help build the data foundations that power analytics, research, digital services, and AI enabled solutions, including machine learning and large language model (LLM) use cases. You will contribute to preparing, validating, and structuring data that is fit for advanced analytics, model training, inference, and experimentation across the Bank.
This role offers an excellent opportunity for developers seeking to build and expand their skills in modern data engineering.
**What You Will Do** Data Engineering & Development
- Build secure, well-structured data pipelines and transformations using Databricks/Spark.
- Write Python and SQL code for ingestion, data cleaning, validation, and automation.
- Help maintain and enhance the Bank’s cloud data platform and analytics environment.
- Support the creation of reusable patterns, notebooks, and components for data processing.
Team Collaboration
- Participate actively in Agile development cycles, including sprint planning, demos, and code reviews.
- Partner with senior developers to troubleshoot issues, resolve data quality problems, and develop enhancements.
- Share ideas and contribute to discussions on improvements to data workflows, tooling, and team practices.
Documentation & Testing
- Create and maintain clear documentation for pipelines, processes, and data flows.
- Support automated testing and data-quality checks using Databricks and Python frameworks.
Continuous Learning
- Build skill depth in Databricks, Spark, Python, cloud data services, and data engineering best practices.
- Stay informed about data engineering trends, tools, and emerging technologies.
- Explore optional ML/LLM tooling under guidance (e.g., model-driven workflows, feature extraction, vectorization).
**What You Need To Succeed** Level 15 role (Entry–Intermediate)
- Foundational Python and SQL skills.
- Exposure to cloud or distributed frameworks.
- Understanding of ETL and data engineering concepts.
Level 16 role (Intermediate–Advanced)
- Strong Python and SQL skills.
- Hands-on experience with cloud and distributed data platforms.
- Applies best practices and contributes to standards.
- Works independently and supports team capability growth.
To have success at both levels we require you to have strong problem-solving skills and a keen attention to detail, combined with a collaborative approach and the ability to communicate clearly with a variety of stakeholders…
Skills
- azure-databricks
- databricks
- Python
- Spark
- delta-lake
- Airflow
- apache-airflow
- power-bi
- Tableau
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