Data Engineer

Data Engineer (ETL/Databricks) Location: Toronto, ON (Onsite- 1 day per week) Start Date: Sept 1 Length of Contract- 1 year Interview: 2 rounds (First step of process, Codility test is sent- if successful they will move to a virtual interview) What You’ll Be Doing The role is responsible for leading the functional design and development of data pipelines and analytics, as well as AI workspace/agents largely around databricks. In the team, the main functionality of the candidate will be to manage a data pipelines, analytics and intelligence (reporting and AI) within Databricks, PowerBI and possibly other UI tools. How You’ll Succeed Ownership and End to End Delivery: Understand the requirements and find avenues to fill any gaps within them. Deploy code changes and unit tests along with assisting BA’s to perform functional testing. Assist QA with regression testing and make sure code is part of release timeline/package and instructions are provided to release managers. Finally verify and or assist release manager/management with deployment is necessary. Strategic Development & Execution: Perform and coordinate solution design activities. Understand the requirements and translate them into system and application design that is aligned with our technology roadmap, using best practices and standards within the team and the enterprise. Design and document the technical functionality, infrastructure, interfaces, and integrations. Strategy and Roadmap: Contribute to technology roadmaps that are aligned with the bank’s vision, strategy, and business objectives. Lead multiple complex technology solutions while maintaining consistency across the platform, adopting best practices and pushing forward continuous improvements Stakeholder Management: Act as the solution lead and interface with the project/technology teams by driving and moderating design review sessions to walk stakeholders through and ensure that the overall design aligns with business requirements as well as architectural directions. Required Skills and Experience: Critical Requirements (2+ years’ experience): Databricks/Snowflake (Any data warehouses) Alternatively, strong Python SQL/Database Data Pipelines/ETL Processes Good to haves: AI based Business Intelligence / Semantics Layer / Databricks Genie DEVOPS – CI/CD WebAPI/Rest Services/Data APIs Other beneficial knowledge: UI Design and Reporting / Plotly / PowerBI Banking/Financial Industry Experience (Particularly Capital Markets) Medallion Data Model Azure Cloud Services Messaging Services (Solace/MQ) Key Skills: Databricks and/or ETL Also Consider: Strong Python candidates who can ramp up on Databricks quickly AI experience: Strong asset.

Lead the functional design and development of data pipelines, analytics, and AI workspaces primarily using Databricks. Manage end-to-end delivery from requirement analysis and solution design to deployment and stakeholder management.

Requires over 2 years of experience with Databricks, Snowflake, Python, and SQL for ETL processes. Experience with AI, PowerBI, and the banking industry is considered a strong asset.

• SQLPreferred
• CI/CDPreferred
• UI designPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Databricks
• ETL
• Python
• SQL
• PowerBI
• Snowflake
• Azure Cloud Services
• CI/CD
• WebAPI
• Rest Services
• Medallion Data Model
• Solace
• MQ
• AI
• Data Pipelines
• UI Design

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting

Minimum experience

2+ years

Apply by

Sep 10, 2026

Posting language

English

Working hours

40 hours per week

Office presence

1 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available