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BC Financial Services Authority

(Junior) Data Engineer (12-Month Contract)

Vancouver, BC, Canada

$56,294 to $107,310 CAD / year · Contract

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Job details

Pay: $56,294 to $107,310 CAD / year
Job type: Contract
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Summary

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 Indigenous Peoples, women, visible minorities, 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 are committed to:

Hiring team members who represent the population we serve;

Removing barriers that may prevent equitable employment; and

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

BCFSA is proud to be selected as one of BC's Top Employers (2025) in recognition of our competitive compensation, work-life balance, and progressive programs.

WHAT WE OFFER:

When you join us, you become part of a high-performing team. Here, each Team Member can bring their unique talent to make outstanding contributions as we work towards the common goal of protecting British Columbians during the most important financial transactions in their lives. We offer:

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

Our team members enjoy the flexibility of a hybrid work model. They can choose every day where they want to work to be the most effective, from the comfort of their home to our beautiful office in downtown Vancouver. (Eligibility may vary, depending on position).

Position Overview:

We are recruiting for a temporary (Junior) Data Engineer role for 12 months within the British Columbia Financial Services Authority (BCFSA). Candidates applying through this competition may be considered for two levels based on demonstrated strengths across platforms, operations, machine learning, and/or software delivery:

Junior Data Engineer (L2) (salary band: $56,294.00 to $85,362.00)
Data Engineer (L3) (salary band: $73,182 - $107,310)

This role is central to supporting BCFSA’s data strategy and enabling high‑quality, reliable, and scalable data solutions across the organization. Successful candidates will contribute to designing, building, and optimizing data pipelines, ensuring data quality and governance, and supporting analytics and regulatory functions across the financial services sector we oversee.

Our Data Engineers play a critical role in enabling evidence‑based decision‑making, strengthening regulatory insight, and supporting BCFSA’s mandate to protect consumers and promote a stable, transparent, and fair financial services marketplace.

APPLICATION AND SELECTION PROCESS:

Candidates will be assessed for the level that best aligns with their skills, experience, and technical depth. This approach allows us to consider a broad and diverse pool of applicants while ensuring a fair and consistent evaluation process.

Assessment Criteria: Applications will be assessed based on qualifications, including education, experience, and relevant skills. We will carefully review each candidate’s background to determine which role they are most suited for.

Selection for Roles: Candidates who meet the qualifications will be invited to participate in the competition for the role that aligns best with their experience and education. This ensures a fair and targeted approach to matching candidates with the most appropriate role.

ACCOUNTABILITIES

Design, develop, test, deploy, maintain, and optimize data pipelines, transformation processes, integrations, curated datasets, and data products that support enterprise reporting, analytics, regulatory operations, and decision-making.
Build and support data ingestion, integration, and orchestration processes across internal systems, external data sources, APIs, databases, cloud platforms, and regulated submissions using approved standards and practices.
Develop and maintain SQL, Python, and other data transformation logic to ingest, cleanse, standardize, validate, reconcile, and prepare data for downstream consumption.
Implement and support scalable ELT/ETL solutions, applying data quality controls, testing frameworks, monitoring, and validation processes to ensure data integrity, reliability, and performance.
Monitor data pipelines, scheduled jobs, deployments, and operational environments; troubleshoot issues, perform root-cause analysis, implement corrective actions, and escalate risks or complex technical challenges as required.
Collaborate with business and technical stakeholders to gather requirements, understand business processes, support reporting and analytics solutions, and improve data accessibility, usability, and trust.
Apply and promote data engineering, governance, security, privacy, and software development best practices, including coding standards, version control, testing, metadata management, lineage, documentation, access controls, and release management.
Develop and maintain technical documentation, including data dictionaries, specifications, runbooks, operational procedures, test results, and support materials.
Contribute to data modernization initiatives and enterprise projects using technologies such as Microsoft Azure, Fabric, Databricks, Synapse, SQL Server, Dataverse, Power BI, and related platforms.
Participate in Agile delivery processes, continuous improvement initiatives, and cross-functional teams to enhance enterprise data capabilities and operational efficiency.
Support advanced data capabilities, including API integrations, machine learning pipelines, MLOps processes, and AI-enabled solutions, where applicable.

JOB REQUIREMENTS

Working experience developing, supporting, or contributing to data engineering, analytics engineering, software engineering, or related technical solutions through employment, internships, co-op placements, academic projects, certifications, portfolio work, or equivalent practical experience.
Experience with SQL and at least one programming language used in data engineering, preferably Python.
Knowledge of data engineering concepts including data ingestion, integration, transformation, orchestration, data modelling, data warehousing/lakehouse architectures, APIs, and data quality management.
Experience with, or exposure to, cloud data and analytics platforms such as Microsoft Azure, Microsoft Fabric, Databricks, Azure Data Factory, Azure Data Lake, Synapse Analytics, SQL Server, Power BI, or similar technologies.
Understanding of software development and delivery practices, including Git-based version control, CI/CD pipelines, testing methodologies, monitoring, and release management.
Knowledge of data governance and information management principles, including metadata management, lineage, privacy, security, classification, and access controls.
Strong analytical, troubleshooting, problem-solving, and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
Demonstrated learning agility, attention to detail, initiative, and the ability to manage competing priorities in a collaborative environment.
Experience with Agile and DevOps practices is an asset.
Exposure to machine learning, MLOps, generative AI, or AI-enabled data solutions is an asset.
Experience working in a public sector, regulated, or compliance-driven environment is an asset.

EDUCATION

Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, Business Technology Management, Management Information Systems, Statistics, Mathematics, Business Analytics, or a related technical or quantitative discipline. A Master's degree in a related field is considered an asset.
Relevant co-op terms, internships, academic projects, certifications, portfolio work, volunteer experience, or equivalent practical experience may supplement formal education.

PROVISOS

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

Internal candidates are kindly requested to use their BCFSA email address when applying for this position. This will help us identify and streamline the internal application process.

Hiring Process Accommodation

BCFSA wants to ensure every job applicant is treated fairly and with respect and encourages applications from all candidates, including those with diverse abilities. We welcome you to inform us confidentially if you may require any special support in the application process, including disability accommodation, in order to participate fully in our recruitment experience. Email us at careers@bcfsa.ca to notify us of any needs related to your job application.

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More about this job

Responsibilities

Design, build, test, deploy, and maintain data pipelines, integrations, transformations, and curated data products for reporting, analytics, regulatory operations, and decision-making. Monitor and troubleshoot data systems, uphold data quality, governance, security, and documentation practices, and collaborate on modernization and advanced data initiatives.

Requirements

Applicants need practical experience in data engineering or a related technical area, SQL and preferably Python, and knowledge of data integration, transformation, orchestration, data platforms, and data quality. A bachelor's degree in a relevant technical or quantitative discipline is required; experience with cloud platforms, software delivery practices, governance, and stakeholder collaboration is expected, while Agile, AI, and regulated-sector experience are assets.

Skills

SQL
Python
Data Pipeline Development
ETL/ELT
Data Integration
Data Transformation
Data Modeling
Data Warehousing
Cloud Data Platforms
Data Quality Management
Data Governance
Git Version Control
CI/CD
Troubleshooting
Agile
Machine Learning

Benefits

Work-Life Balance
Health And Wellness Benefits
Professional Development Opportunities
Competitive Compensation
Defined Benefits Pension Plan
Hybrid Work Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
Microsoft Azure
Microsoft Fabric
Databricks
Azure Data Factory
Azure Data Lake
Synapse Analytics
SQL Server
Dataverse
Power BI
ETL
ELT
Data Pipelines
Data Integration
APIs
Data Warehousing
Lakehouse Architecture
Data Quality
Data Governance
Metadata Management
Data Lineage
Git
CI/CD
Agile
DevOps
Machine Learning
MLOps
Generative AI

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