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Added 3 mins ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives…
Added 20 mins 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 20 mins ago
SA
Forward Deployed Engineer
STAN AI
Toronto, ON · North York, ON
- $80,000 to $110,000 USD / year
- Full-time
This is a forward deployed engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why - digging through conversation…
Added 49 mins ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
…our community. We are seeking a dynamic and experienced Data Engineer (Basketball Strategy) reporting to the Assistant General Manager/SVP Basketball Strategy to join our team as of January…
Added 49 mins ago
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AWS Data Engineer
HCLTech
Toronto, ON
- Full-time
🚀 Hiring: Fulltime AWS Data Engineer | 5+ Years Experience
Added 1 hour ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 1 hour ago
T
Engineer I
TD
Toronto, ON
- Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 3 hours ago
J
AI Engineer, Mid Level
Jobright.ai
Canada
- Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 3 hours ago
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Data Engineer
Luxoft
Canada
- Full-time
…PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean schemas, reliability and…
Added 4 hours ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
…building a Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion…
Added 4 hours ago
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Principal Research Scientist
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 4 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 4 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the Excel Agent team, you will design and deliver end-to-end features that combine Excel capabilities with agentic AI. You will own technical areas spanning…
Added 4 hours ago
AI
Observability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
Senior Observability Engineer – Kubernetes, Prometheus, Grafana & Thanos
Added 5 hours ago
BB
Data Engineer
Breathaplasta by Adaptavate
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
To succeed in our mission, we are looking for a Data Engineer who will work with our technical teams to translate raw data into information that drives business decision making. This…
Added 5 hours ago
S
Enterprise Sales Engineer - Majors, Retail
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
Added 5 hours 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 5 hours ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 5 hours ago
Machine Learning Engineer
Opendoor
Toronto, ON
Added 5 hours ago
Application Security Engineer
Opendoor
Toronto, ON
As our Application Security Engineer, you'll own how we find, prioritize, and drive down application-layer risk across the consumer flows that put cash offers in homeowners’ hands, the…
Added 5 hours ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a…
Added 5 hours ago
D
Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
DarkVision is seeking a Data Engineer to join our Imaging & AI team. You will contribute to multiple data pipelines that provide operational intelligence, underpin machine learning models,…
Added 6 hours ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 6 hours ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…

BCI

Senior Software Engineer

Victoria, BC, Canada
Vancouver, BC, Canada
CA Victoria, Canada

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

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Job details

Pay: The annualized salary range for this role is CAD $106,000 to $128,000.
Job type: Full-time
Apply by: Nov 6, 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:

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.

Headquartered in Victoria, British Columbia, and with teams spanning Vancouver, New York, London, and Mumbai.

BCI integrates environmental, social, and governance (ESG) factors into all investment decisions to meet clients' risk and return requirements. Our people shape employee-focused initiatives, creating a strong culture. To learn more about our culture and values, visit our BCI Values in Action page.

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.

BCI offers a competitive total rewards package, including a performance-based incentive plan, comprehensive health & dental benefits, a defined benefit pension plan, and paid time off. We pay our people competitively in the markets in which we operate and with consideration for internal equity and job structure. The base salary will consider factors such as the individual's skill set, experience, and internal equity. We aim for actual pay to be around the market median for expected performance and the upper quartile for excellent performance. Actual salaries may vary based on experience and expertise.

Next Steps:

To apply online, please submit your resume promptly. Applications will be actively reviewed, and those selected for an interview will be contacted. We welcome all qualified candidates who are legally authorized to work in the country where this job is located. If you do not have authorization, or if your work permit has restrictions or is due to expire within 12 months, please inform our recruitment team if shortlisted.

At BCI, we value diversity and foster an inclusive culture where all employees can thrive. We are performance and client-focused, valuing integrity, and we want to know you if you share these values. We recognize that some skills can be learned on the job and encourage everyone to apply. If you require accommodations for the recruitment process, such as alternate formats of materials or accessible meeting rooms, please contact us at hr@bci.ca.

To learn more about working with BCI, including our comprehensive benefits packages, our commitment to equity, diversity and inclusion and the recruitment process visit our BCI Careers Page.

BCI does not accept unsolicited resumes or candidate submissions from third-party recruitment agencies, executive search firms, or staffing suppliers unless they have an existing contractual agreement with our organization. Our approved vendor relationships are established for particular recruitment requirements and do not extend to general job postings on our website or other platforms. Any candidate information or resumes submitted by suppliers not approved by BCI will be deemed unsolicited and will not be reviewed or considered. BCI will not be liable for any fees, commissions, or charges related to unsolicited candidate submissions or recruitment services.

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More about this job

Responsibilities

You will lead the design and delivery of end-to-end full stack solutions, including production applications, AI agents, and data pipelines. You will partner directly with Private Equity stakeholders to solve business problems and automate workflows.

Requirements

Candidates must have a bachelor's degree in Computer Science or Engineering and at least 6 years of relevant experience. Strong proficiency in Python, SQL, and full stack development, along with experience in AI-assisted development and cloud platforms, is required.

Skills

Python
JavaScript
TypeScript
SQL
Databricks
Azure
Full stack development
AI agents
LLM-powered applications
RAG
Data engineering
ETL/ELT
REST API design
CI/CD
Infrastructure-as-code
Project management

Benefits

Performance-based incentive plan
Comprehensive health & dental benefits
Defined benefit pension plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Private Equity
Python
JavaScript
TypeScript
FastAPI
React
SQL
Databricks
Azure
AI agents
LLM
RAG
Data pipelines
ETL
ELT
Git
CI/CD
Terraform
Azure DevOps
OAuth 2.0
REST API
Full stack
Investment management
Data modeling
Infrastructure-as-code
Claude
MCP
Unity Catalog
Power BI

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