Senior Data & Analytics Engineer (Platform Engineer - 12 month temp)

About the job About Us British Columbia Investment Management Corporation (BCI) offers an exceptional opportunity to work at a world-class organization while living in a west coast setting. With $295.0 billion of gross assets under management, as of March 31, 2025, British Columbia Investment Management Corporation (BCI) is the provider of investment management services for British Columbia’s public sector and one of the largest asset managers in Canada. BCI seeks investment opportunities around the world and across a range of asset classes that convert savings into productive capital. Our investment returns play a significant role in helping our institutional clients build a financially secure future for their beneficiaries. POSTING CLOSE DATE: September 10, 2026 BCI's Data and Analytics platform drives decisions across 75% of the organization, and we are looking for a Senior Data and Analytics Engineer (Platform) who can step in and own it. Based out of our downtown Vancouver office, this is a hands-on platform role with real scope, a modern stack (Databricks, Power BI, enterprise Claude via MCP), and a team that moves fast and holds itself to a high standard. This is a one-year temporary contract for someone who is ready to contribute from day one, with minimal direction and maximum impact. WHO YOU WILL WORK WITH The Technology department is BCI's innovation catalyst and digital transformation engine, pioneering the future of institutional investment through cutting-edge technology solutions. We architect next-generation platforms powered by AI and cloud-native technologies that drive investment excellence and operational efficiency. As a strategic partner across all areas of BCI's business, we don't just implement technology—we envision breakthrough digital experiences of the future. Our department leads digital transformation initiatives, creates intelligent automation solutions, and builds secure, scalable infrastructure that supports everything from identifying investment opportunities and decision-making, portfolio management to risk analysis, trade processing, and regulatory reporting. We cultivate digitally empowered workplaces through advanced collaboration ecosystems and productivity platforms, enabling our Technology and business teams to thrive in tomorrow's investment landscape. Within Technology, the Data and Analytics team enables roles across BCI to make better decisions and deliver better outcomes. WHAT IT’S LIKE WORKING IN THE DATA & ANALYTICS TEAM Modern tools, pushing boundaries: We run Databricks, Power BI, and enterprise Claude (already connected to our data platform via MCP) and are actively replacing traditional processes with agentic workflows using Databricks Genie, Claude Skills, and Claude Code High-impact work: 75% of the organization uses our analytics; we work with smart ambitious business users and highly analytical people on high-ROI use cases Great culture: Fast-paced with world-class expectations, but supportive and genuinely fun WHAT YOU WILL DO Reporting to the Manager, Data & Analytics, the Senior Data & Analytics Engineer builds and operates BCI’s Enterprise Data Platform — the foundation that powers analytics across the organization. You’ll work with minimal direction on the platform that other engineers, analysts, and business users depend on every day. Leads, builds, and maintains the platform components the rest of the team relies on including ingestion, transformation, governance, orchestration, and observability across the full delivery lifecycle, including mentorship of more junior engineers Designs platform patterns and shared infrastructure that scale including catalog and permission models, deployment frameworks, data quality, and federation between systems WHAT YOU BRING Bachelor's degree in a related field Minimum 6 years of related experience Advanced proficiency with SQL, Python, and modern data platforms (Databricks preferred) Evidence of being a top performer, self-starter, curious & capable of learning new skills, behaviours, and tools quickly NICE TO HAVES Advanced proficiency using LLMs and using AI-assisted development tools (e.g. Claude, Claude Code) Hands-on experience with Databricks or comparable Lakehouse technologies Experience with cloud data platform administration (Azure preferred), CI/CD, and infrastructure-as-code WHERE YOU WILL WORK This role will be based in our office in downtown Vancouver, BC. We are an in-person collaborative organization with the flexibility to work remotely one day a week. SALARY RANGE The annualized base salary range for this Vancouver-based role is CAD $106,000 to $128,000 BCI offers a competitive total rewards package for temporary employees, including paid vacation, sick leave, a defined benefit pension plan, an Employee and Family Assistance Program, and a benefits allowance in lieu of company-funded health coverage. Our recruitment process requires that the successful candidate agrees to undergo a criminal record search, education and designation verification; to provide a declaration of no previous or current criminal status; and to comply with our corporate Code of Ethics & Professional Conduct. Interested in joining our team and want to learn of other career opportunities with BCI? Create a profile and sign up for job alerts at: https://bci.wd10.myworkdayjobs.com/BCI_Careers.

The role involves building and operating BCI's Enterprise Data Platform, focusing on ingestion, transformation, governance, and observability. The engineer will design scalable platform patterns and shared infrastructure while mentoring junior engineers.

Candidates must have a bachelor's degree and at least 6 years of related experience with advanced proficiency in SQL, Python, and modern data platforms. A self-starter mindset and the ability to learn new tools quickly are essential.

• Paid vacation • Sick leave • Defined benefit pension plan • Employee and Family Assistance Program • Benefits allowance

• Power BIPreferred
• SQLPreferred
• CI/CDPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Databricks
• Power BI
• Cloud Data Platform Administration
• CI/CD
• Infrastructure-as-Code
• LLMs
• Data Ingestion
• Data Transformation
• Data Governance
• Orchestration
• Observability
• Data Quality
• Data Federation
• Lakehouse Technologies

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

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Sep 25, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Not Applicable