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Added 23 days ago
Data Engineer
MPA Recruitment
Toronto, ON
Full-time
Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
Added 23 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
$113,000 to $152,000 CAD / year
Full-time
Reporting to the Senior Director, AI Engineering & Transformation, you will be the Champion for the cell and its technical and operational lead. Champions own the technical direction,…
Added 19 days ago
Principal Technical Product Manager
ShyftLabs
Toronto, ON
Full-time
Serve as a senior product leader and primary product point of contact for Fortune 500 clients and stakeholders.
Added 19 days ago
Sr Manager, Data Product Management
Rogers Communications
Toronto, ON
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including: Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for…
Added 19 days ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies across cloud platforms,…
Added 23 days ago
Manager - Data Engineering (Microsoft Fabric Platform)
Deloitte
Toronto, ON
Full-time
Architect and deliver data ingestion, transformation, and integration pipelines using Fabric, Azure Data Factory, Spark, and SQL.
Added 23 days ago
Data Governance Lead
Deloitte
Toronto, ON
Full-time
Reporting, Metrics and Senior Stakeholder Communication
Added 23 days ago
Master Data Management - Manager
Deloitte
Toronto, ON
Full-time
…trustworthy AI & Data foundation possible. As a Manager and Senior Architect, you will help set the direction for the MDM and Data Engineering discipline, contributing to national…
Added 23 days ago
Actuarial Manager, Property & Casualty, Actuarial Insurance Solutions
Deloitte
Toronto, ON
Full-time
Collaborate with data engineers and technology specialists to deliver cloud-enabled actuarial solutions (Azure/AWS/Google Cloud), including scalable pricing, reserving and capital modelling…
Added 23 days ago
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
Full-time
We are seeking a highly analytical and client-focused Senior Consultant to join our team as a Data Scientist / Power Systems Analyst. This role is ideal for a professional who brings a…
Added 23 days ago
Data Quality Management Lead
Deloitte
Toronto, ON
Full-time
Present insights, trends, and risk exposures to senior leadership.
Added 24 days ago
Director, Enterprise Data & Integration
General Dynamics Mission Systems–Canada
Ottawa, ON
Full-time
Experience with modern enterprise data platforms including Snowflake, Microsoft Fabric, Azure Data Factory, Synapse, Databricks, Purview, AWS data services, or comparable technologies.
Added 24 days ago
Senior Python Developer
CGI
Ottawa, ON
Full-time
We are seeking a Senior Python Developer with expertise in cloud native development, Azure Databricks, and API engineering. This role supports the development of scalable solutions that…
Added 20 days ago
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
Full-time
…platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move comfortably between system-level design, production operations,…
Added 24 days ago
Senior Full Stack Developer (.NET, React & Cloud Technologies)
Cognizant
Halifax, NS
Full-time
As a Senior Full Stack Developer, you will make an impact by designing, developing, and supporting scalable web applications and cloud-based solutions that drive business outcomes. You will…
Added 24 days ago
Senior Software Engineer- Big Data & Java
PointClickCare
Mississauga, ON
$142,000 to $158,000 CAD / year
Full-time
Experience with distributed computing tools like Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies.
Added 24 days ago
Full Stack AI Practice Lead
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
Full-time
Ateko, backed by Bell Canada, delivers IT solutions across multiple platforms: ServiceNow, Salesforce, AWS, Microsoft Azure, Google, Snowflake and Databricks. As part of our vision to…
Added 24 days ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
$120,000 to $175,000 CAD / year
Full-time
Build and maintain integrations with MongoDB, SQL Server (via GORM), and Azure Blob Storage.
Added 20 days ago
Senior PowerBI Consultant
Datavail
Canada
Full-time
Experience with Fabric Semantic Models and Databricks
Added 25 days ago
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
Contract
We are looking for a Senior Platform Engineer to join a leading Bank’s Technology Infrastructure / Cloud Platform Engineering team. This is an exciting opportunity to design, build, and…
Added 25 days ago
Senior Data & Analytics Engineer (Platform Engineer - 12 month temp)
BCI
Vancouver, BC
Temporary
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…
Added 25 days ago
Data Engineering Specialist-EN
CAE
Montreal, QC
Full-time
Experience with Microsoft cloud and data platforms such as Fabric, Azure, Databricks, and Purview.
Added 26 days ago
Azure Solution Architect
Tata Consultancy Services
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
Customer facing skills, Strong articulation skill which will allow to present Azure based solution and convince customer Senior Management personnel
Added 21 days ago
(2027 PhD/ABD graduates) Economic Consulting Senior Associate - Canada
Charles River Associates
Toronto, ON
Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS);
Added 26 days ago
Senior Data & AI Engineer - Oil & Gas
Data Elephant
Canada
Contract
Senior-level experience designing and developing production data pipelines with Azure Databricks including strong experience with complex SQL, Python, Spark, or comparable data-processing…

BCI

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

Vancouver, BC, Canada

Pay: The annualized base salary range for this Vancouver-based role is CAD $106,000 to $128,000
Job type: Temporary
Apply by: Sep 25, 2026
Experience: Minimum 6 years of related experience
Posting language: English
Posted: Aug 26, 2026

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Original job description

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.

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More about this job

Responsibilities

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.

Requirements

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.

Skills

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

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Power BI
Claude
MCP
Databricks Genie
Claude Skills
Claude Code
Azure
Lakehouse
CI/CD
Infrastructure-as-Code
SQL
Python
Data Engineering
Platform Engineering
Data Governance
Orchestration
Observability
Financial Services
Asset Management
Agentic Workflows
Data Quality
Data Federation
Cloud-native
AI
LLM

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