Job description

BC Financial Services Authority (“BCFSA”) helps to protect British Columbians during the biggest financial decisions in their lives. We regulate B.C. ’s financial services sector, including credit unions, real estate licensees, registered pension plans, insurance and trust companies and mortgage brokers. Through modern, effective and efficient oversight, BCFSA protects consumers by impartially setting and enforcing standards across the entire sector ensuring the prosperity of the province.

BCFSA is an equal opportunity employer and welcomes applications from all groups. This includes women, visible minorities, Indigenous Peoples, persons with disabilities, persons of diverse sexual orientation, gender identity or expression (LGBTQ2S+), and others who may contribute to diversity at BCFSA.

We recognize unique styles, perspectives, beliefs, and creativity that support a diverse, respectful, inclusive and collaborative work environment. To achieve this, we stay committed to:

Hiring team members who represent the population we serve

Removing barriers that may prevent equitable employment

Supporting respectful work environments where everyone feels included and able to produce excellent results

BCFSA is proud to be Great Place to Work Certified™ organization based on direct feedback from our team members.


Healthy living and work-life balance

Comprehensive health and wellness benefits plan

Opportunities for personal and professional development

Competitive compensation

A challenging and engaging team environment

Defined benefits pension plan

Flexible work arrangement for eligible positions

A beautiful office location in downtown Vancouver


This position intersects multiple disciplines in data at BCFSA, including the skillsets of data engineer, data scientist, and data analyst. As a subject matter expert, the position is responsible for building, managing, and optimizing data pipelines and effectively moving these pipelines into production, driving automation through metadata management, collaborating across departments, educating, training, and ensuring compliance and governance during data use.


• Coaching, training, and advising employees, management and leadership on various technical topics and acting as a technical subject matter expert.

• Making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business users).

• Building, managing, and operationalizing data pipelines in support of key D&A use cases.

• Curating datasets and data pipelines created by nontechnical users.

• Operationalizing data delivery for production-level deployments.

• supporting the key task of deploying analytics and data science outputs into existing business processes and applications.

• Ensuring compliance with data governance and data security requirements.

• Collaborating with the business and educating the organization on data engineering, data analysis, and data visualization and mentoring and coaching end user to get on their feet.

• As the primary accountable data resource, assists the business with integrating reporting, visualization analytics and data science model outputs into business processes and interpreting the results.

• Developing, managing, and supporting ETL processes with a keen eye on the performance and reliability of that information.

• Providing guidance and assistance for data visualization and report generation, specifically with visual data modeling tools such as Power BI.

• Contributes to the team’s development of internal work practices (e.g., policies, procedures and tools).

• Provides orientation and training to internal and/or external stakeholders within area of responsibility.

• Contributes to, participates in, and supports organizational business transformation initiatives.


• Bachelor's degree with a Major or Minor in Computer Science, Information Technology, Information Management or related fields in data science, data management, mathematics and data analytics. Master's degree in the same fields an asset.

• 2 years of working experience with Azure services, including Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Functions, Azure Key Vault and Synapse

• 2 years of working experience in SQL, NoSQL and Python

• 2 years of working experience in Data management, storage, transformation, data Orchestration, and API management

• 2 years of working experience with BI reporting tools e.g., Power BI or equivalent

• Familiarity with governance models and frameworks an asset

• Familiarity with MLOPS and advanced analytics and machine learning concepts (supervised, unsupervised learning) and the abilities to model data and interpret results with Random Forest, KNN, SHAP, etc an asset


Candidates must be eligible to work in Canada and living in British Columbia or intent to settle in the province.

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