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Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
MT
Senior Software Engineer
Marble Technology Inc.
Remote, Canada
- $160,000 to $210,000 USD / year
- Full-time
- Remote
We're searching for a talented and driven Senior Software Engineer to help define and build the foundation of our AI-first tax platform. This is a high-impact role for someone who wants…
Added 2 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…consumers to extract meaningful insights from enterprise data. This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads…
Added 2 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 2 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Senior Data AI Engineer (GenAI & LLM Data Platform)
Added 2 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods.
Added 2 days ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Design and develop ETL workflows and datasets to be used in data visualization tools
Added 2 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 2 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 2 days ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production…
Added 2 days ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production…
Added 2 days ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production…
Added 2 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
The Full Stack Engineer at the Credit Counselling Society is responsible for a number of key responsibilities to build on and support the successful operations of our business, enabling our…
Added 2 days ago
Senior Data Engineer
Capgemini
Vancouver, BC
Added 2 days ago
P
Software Engineer
ProxyLink
Toronto, ON
- Contract
Added 2 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Develop APIs, data pipelines, ELT/ETL workflows, and event-driven integrations.
Added 2 days ago
J
Senior DataOps / Cloud Data Engineer
Joblinxsapp
Toronto, ON
- Full-time
The Government Services Integration Cluster (GSIC) is seeking an experienced Senior DataOps / Cloud Data Engineer to design, develop, implement, and support enterprise-scale cloud data…
Added 3 days ago
EA
Staff Data Engineer
exacare ai
Canada
- Full-time
We’re looking for a Staff Data Engineer who thrives in an environment with strong ownership and can drive complex data initiatives from concept to production. You’ll build the pipelines,…
Added 3 days ago
C1
Senior Data Engineer (Microsoft Fabric) - 6 months Contract - Vancouver - (Hybrid)
Central 1
Vancouver, BC
- Full-time
As a Senior Data Engineer you will be the subject matter expert in Microsoft Fabric to support the evolving data needs of Central 1. The Senior Data Engineer is responsible for designing,…
Added 3 days ago
TC
Full Stack Engineer
The Credit Counselling Society
New Westminster, BC
- Full-time
The Full Stack Engineer at the Credit Counselling Society is responsible for a number of key responsibilities to build on and support the successful operations of our business, enabling our…
Added 3 days ago
AC
Manager, Enterprise Data Platform & Governance
Air Canada Vacations
Montreal, QC
- Full-time
Ingestion & Architecture: Oversee the design and scaling of robust ETL/ELT data pipelines to ingest structured, semi-structured, and unstructured data from disparate sources.
Added 3 days ago
Manager, Enterprise Data Platform & Governance
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
Ingestion & Architecture: Oversee the design and scaling of robust ETL/ELT data pipelines to ingest structured, semi-structured, and unstructured data from disparate sources.

BCI

Senior Software Engineer

Victoria, BC, Canada

$106,000 to $128,000 CAD / year · Full-time

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Job details

Pay: $106,000 to $128,000 CAD / year
Job type: Full-time
Apply by: Nov 21, 2026
Experience: Minimum 6 years of related experience, including hands-on delivery of production applications
Posting language: English
Posted: Oct 22, 2026

Original job description

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 $313.7 billion of gross assets under management, as of March 31, 2026, 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.

This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and partner with Private Equity SMEs to solve problems instead of taking orders. You'll build applications, automated workflows, and AI agents that change how the PE team works day to day, along with the data pipelines, models, and dashboards that sit underneath them.

The role can be based in either our Vancouver or Victoria, BC offices, we will not consider candidates only looking to work remotely.

WHO YOU WILL WORK WITH

Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code, Artifacts, Cowork, Skills), already connected to our data platform through an MCP server we built and operate. We are actively replacing manual processes with agentic workflows and internal apps built with AI-assisted development
High-impact work: 75% of the organization uses our analytics; we work with smart, ambitious business users on high-ROI use cases where the results show up in real investment decisions
Embedded, not ticketed: The team sits with the PE department. You'll be in the room when problems are defined, not handed a spec afterwards
Great culture: Fast-paced with world-class expectations, but supportive and genuinely fun

THE OPPORTUNITY

Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production applications and AI agents through to the data pipelines and analytical models that power them, working with minimal technical direction.

You'll partner closely with Private Equity (PE) teams across PE Finance, PE Operations, Deal teams, and PE directors and executives, where data accuracy has real business and regulatory consequences. You'll own your work from the first conversation with a stakeholder to the production release and beyond.

WHAT YOU BRING

Bachelor's degree in Computer Science, Engineering, or a related field
Minimum 6 years of related experience, including hands-on delivery of production applications
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React), including back-end architecture, REST API design, and front ends with good UI/UX
Advanced proficiency in SQL and Python
Experience building agentic workflows and LLM-powered applications, including RAG, using AI to process unstructured data (documents, emails, PDFs), and working with MCP servers and tool-calling architectures
Hands-on experience with Databricks and the Azure stack
Daily fluency with AI-assisted development tools, ideally the Claude ecosystem (Claude Code, Artifacts, Cowork, Skills) or equivalents
Experience with both transactional databases (e.g. PostgreSQL, MariaDB) and analytical warehouses (e.g. Databricks SQL), and knowing when to use which
Solid data engineering foundation: ETL/ELT pipeline development, data modelling, and data architecture
Comfortable in modern engineering practice: Git-based version control, CI/CD pipelines, automated testing, and infrastructure-as-code deployment (e.g. Databricks Asset Bundles, Terraform, Azure DevOps)
Experience implementing authentication and authorization mechanisms (e.g. SSO, OAuth 2.0, OIDC, role-based access control) in enterprise applications
Demonstrated experience leading complex projects end-to-end at high pace and quality, with minimal direction required
Strong project planning and communication skills: you scope work, set expectations, surface risks early, and give stakeholders regular updates without being asked
Evidence of being a top performer, self-starter, curious and capable of learning new skills, behaviours, and tools quickly
Experience mentoring other engineers, including code and design review, and raising team standards

NICE TO HAVES

Knowledge of Private Markets (fund structures, capital calls and distributions, valuations, portfolio monitoring)
Experience working in investment management or other regulated, data-intensive domains
Experience with Databricks Apps, Lakebase, Genie, or Vector Search
Familiarity with graph databases and knowledge graphs (e.g. Neo4j) and where they fit alongside relational and analytical stores

WHAT YOU WILL DO

You'll lead, build, and maintain end-to-end solutions across the full delivery lifecycle including:

Partnering with PE stakeholders to define problems, gather requirements, and shape solutions together
Designing and delivering end-to-end applications, including tech stack selection, architecture, back-end and front-end development, REST APIs, integration with existing systems, and DevOps, hosted on Databricks Apps and Azure
Building agentic workflows and AI agents: document intelligence over investment materials, automated processing and routing of files from fund administration feeds, natural-language access to PE data through MCP, and Claude Skills that package team knowledge
Owning delivery from scoping through testing, deployment, production release, and ongoing support, including prioritization, stakeholder management, and communicating progress and risks on a regular cadence
Developing data pipelines and analytical solutions with clear lineage, reconciliation, and validation suitable for PE fund and portfolio reporting, valuations, and audit review
Proactively identifying risks, streamlining operations, developing application roadmaps, and maintaining accurate technical documentation
Sharing expertise across teams and mentoring team members and co-ops through design reviews, code reviews, and pairing, and contributing to team standards
Staying current on the AI and Databricks ecosystem and bringing new capabilities to the team where they create real value

WHERE YOU WILL WORK

This role can be based in either our Victoria or Vancouver office. Relocation support within Canada is available if needed. We are an in-person, collaborative organization with the flexibility to work remotely one day per week.

SALARY RANGE

The annualized salary range for this role is CAD $106,000 to $128,000.

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.

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More about this job

Responsibilities

Partner with Private Equity stakeholders to define needs and deliver end-to-end applications, AI agents, workflows, APIs, and data solutions, owning work from scoping through production support. Maintain reliable, auditable data pipelines and analytical models, manage delivery and stakeholder communication, and mentor engineers while improving team standards.

Requirements

Requires a bachelor's degree in Computer Science, Engineering, or a related field and at least six years of related experience, including production application delivery. Candidates should have strong full-stack, Python, SQL, AI/LLM, Databricks, Azure, data engineering, modern DevOps, and enterprise security experience, along with the ability to lead projects independently and mentor others.

Skills

Full-Stack Software Development
Python
JavaScript
TypeScript
SQL
REST API Design
Agentic Workflows
Retrieval-Augmented Generation
Databricks
Microsoft Azure
Data Engineering
ETL/ELT Pipelines
CI/CD
Authentication and Authorization
Technical Mentoring

Benefits

Relocation Support Within Canada

Visa sponsorship

Not detected in the job text

Keywords

Python
JavaScript
TypeScript
FastAPI
Flask
Node.js
Next.js
React
REST APIs
Databricks
Unity Catalog
Databricks Apps
Lakebase
Genie
Vector Search
Microsoft Azure
Power BI
Claude
Claude Code
MCP Servers
Agentic Workflows
Large Language Models
Retrieval-Augmented Generation
SQL
PostgreSQL
MariaDB
ETL/ELT
Data Modeling
CI/CD
Terraform

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