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Data Engineering, Team Lead

Vancity

Toronto · Hybrid Full-time Lead CA$113k – CA$140k/yr 1w ago

About the role

Our Story & Purpose

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.

As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,300 diverse individuals, access competitive rewards and benefits, and be part of a greater movement – apply today!

Your Role in Supporting Our Members

As a Data Engineering Team Lead, you will provide technical leadership and direction for the organization’s data engineering capabilities. The role sets engineering standards, designs scalable and secure data architectures, and leads to complex, cross-team data initiatives. While remaining hands‑on, you will influence platform strategy, mentor engineers, and ensure alignment with enterprise architecture, governance, and business priorities.

  • Full‑time, Permanent role based at our Head Office in Vancouver, British Columbia
  • Reports directly to the Director, Data Platforms
  • Open to candidates in BC and Ontario
  • Hybrid work arrangement; on‑site for events and business demands when needed

How You'll Make an Impact

  • Solving highly complex, ambiguous engineering and architectural problems
  • Making key technical decisions that influence platform scalability, reliability, and future direction
  • Evaluating and selecting tools, frameworks, and patterns with long‑term impact in mind
  • Balancing technical excellence with delivery timelines and business priorities
  • Communicating architectural designs, trade‑offs, and recommendations to senior technical and business stakeholders
  • Acting as a trusted technical advisor to product, analytics, and platform leadership
  • Influencing engineering practices and standards across multiple teams
  • Facilitating alignment between business needs and technical solutions
  • Operating as a senior individual contributor with no formal people management responsibilities
  • Providing mentorship and technical leadership to junior engineers
  • Leading by example in code quality, operational excellence, and engineering discipline

What You’ll Bring to the Team

  • Bachelor’s degree in computer science or related technical discipline
  • 6‑8+ years of industry experience in Data Engineering or related field handling data processing and transformation of disparate datasets
  • Experience with big data and analytics programming languages such as Python, R, Spark in Databricks
  • Experience with batch and real‑time processing frameworks (EventHub, Apache Spark, Apache Kafka, etc.)
  • Strong ability to innovate and adapt to emerging technologies
  • Excellent problem‑solving skills and ability to manage competing priorities
  • Experience with Azure Data Lake, Azure Data Factory, Azure Databricks, Semarchy and EventHub
  • Exposure to DevSecOps practices and security‑first principles
  • Understanding of data storage, mapping, modeling, and real‑time data handling

You’ll Thrive Here If

  • Strategic and risk‑aware – You connect capital, liquidity, and balance sheet decisions to enterprise risk appetite and anticipate emerging vulnerabilities.
  • Analytical – You apply rigor to financial modeling and stress testing, challenge assumptions thoughtfully, and deliver clear, defensible insights.
  • Collaborative – You build trusted cross‑functional relationships and provide independent and objective insights that strengthen decision‑making.

We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don’t perfectly align with those listed.

What You’ll Earn

  • Salary range: $113,100‑$139,650 per annum (base pay may vary based on qualifications, skills, experience, and internal equity)
  • Eligible for annual incentive program, subject to program eligibility requirements
  • Position open until filled

Why You’ll Love Working Here

A career at Vancity is more than just a job; you’re joining a tradition of change‑makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

  • Living Wage Employer – Largest private‑sector Living Wage Employer in Canada; consistently ranked among Canada’s Top Employers.
  • Customizable Benefits – Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs.
  • Generous Vacation – New employees start with 3‑4 weeks of vacation per year, with additional days earned over time.
  • Extra Stat Holidays – In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness.
  • Immediate Health Coverage – Health and dental benefits begin on your hire date, with three levels of coverage to choose from.
  • Defined Benefit Pension – Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone.

Vancity Talent Programs

Vancity supports an inclusive hiring process for candidates who self‑identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.

At Vancity we’re committed to creating a welcoming and inclusive workplace to help our people and communities thrive and prosper. Diversity in our workforce is integral so that we can truly represent, understand and respond to our community needs and deliver on our member experience.

This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier‑free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know by contacting our Talent Acquisition team at recruitment@vancity.com. We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.

Requirements

  • Bachelor’s degree in computer science or related technical discipline
  • 6-8+ years of industry experience in Data Engineering or related field handling data processing and transformation of disparate datasets
  • Experience with big data and analytics programming languages such as Python, R, Spark in Databricks
  • Experience with batch and real-time processing frameworks (EventHub, Apache Spark, Apache Kafka, etc.)
  • Strong ability to innovate and adapt to emerging technologies
  • Excellent problem-solving skills and ability to manage competing priorities
  • Experience with Azure Data Lake, Azure Data Factory, Azure Databricks, Semarchy and EventHub
  • Exposure to DevSecOps practices and security-first principles
  • Understanding of data storage, mapping, modeling, and real-time data handling

Responsibilities

  • Solving highly complex, ambiguous engineering and architectural problems
  • Making key technical decisions that influence platform scalability, reliability, and future direction
  • Evaluating and selecting tools, frameworks, and patterns with long-term impact in mind
  • Balancing technical excellence with delivery timelines and business priorities
  • Communicating architectural designs, trade-offs, and recommendations to senior technical and business stakeholders
  • Acting as a trusted technical advisor to product, analytics, and platform leadership
  • Influencing engineering practices and standards across multiple teams
  • Facilitating alignment between business needs and technical solutions
  • Operating as a senior individual contributor with no formal people management responsibilities
  • Providing mentorship and technical leadership to junior engineers
  • Leading by example in code quality, operational excellence, and engineering discipline

Benefits

health insurancedental insurancevacationstat holidayscare daysDefined Benefit Pension

Skills

Apache KafkaApache SparkAzure Data FactoryAzure Data LakeAzure DatabricksDatabricksDevSecOpsEventHubPythonRSemarchySpark

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