Date: Jun 24, 2026
Location:
Vancouver, British Columbia, CA, V6C 2T8
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Company: BC Financial Services Authority
Posting Title: (Senior) Data Engineer (12-month Contract)
Department: Enterprise Enablement
Full/Part Time: Full Time
Job Type: Contract
Location: Vancouver
Work Arrangement: Hybrid
Salary Range: $73,182.00 - $140,235.00
Close Date: July 5, 2026
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 (Senior) 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:
Senior Data Engineer (L4) (salary band: $90,069 - $140,235)
Data Engineer (L3) (salary band: $73,182 - $107,310)
This role is central to advancing 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, build, and operate production‑ready data pipelines that support regulatory, operational, and analytical use cases across BCFSA’s current and evolving data platforms, including Databricks and other enterprise data and analytics platforms.
Make high quality, well-modeled data available to a range of data consumers, including data and business analysts, citizen report developers, and application teams.
Operationalize data delivery, including deployment, monitoring, troubleshooting, and continuous improvement of data pipelines.
Curate, review, and productionize datasets and pipelines created by analysts or non‑technical users, ensuring they meet quality, performance, and reliability expectations.
Enable the effective use of data and analytics outputs within downstream business processes, reports, dashboards, and applications.
Build and operate feature pipelines and MLOps workflows to enable deployment, monitoring, and lifecycle management of machine learning models (batch and/or real-time) in alignment with security and governance requirements.
Design and deliver end-to-end data solutions that include software components and integrations that operationalize curated datasets for downstream systems and users.
Ensure all data solutions comply with established data governance, security, privacy, and access control requirements.
Partner with business and data analysts to support reporting and visualization workflows, including guidance on data modeling and interpretation where needed.
Develop and support ETL/ELT processes, with a strong focus on performance, reliability, and maintainability.
Support data migration and modernization initiatives involving legacy and existing platforms (e.g., SQL Server, Synapse, Dataverse, SharePoint, and other enterprise systems), working closely with the Data Architect, Principal Data Engineer, and application teams.
Provide coaching, guidance and support to employees, management, and leadership on data engineering and analytics enablement topics.
Contribute to the development and improvement of team practices, documentation, tools, and reusable components.
Provide orientation, knowledge transfer, and training to internal and external stakeholders within area of responsibility.
Participate in and support broader organizational business and data transformation initiatives.
JOB REQUIREMENTS
Working experience with Azure Cloud services and analytics platforms, including Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Functions, Azure Key Vault, Synapse, GIT-based version control, SQL Server, and CI/CD.
Working experience in SQL, Python, Spark or similar data processing frameworks.
Working experience in data management, ingestion, transformation, orchestration, data modelling, and data warehousing.
Experience designing and maintaining CI/CD pipelines for data pipelines and orchestration frameworks
Experience designing and implementing test automation for data including unit, schema, contract, and data quality tests
Experience productionizing machine learning solutions, including feature engineering, automated deployment (CI/CD), and monitoring of data/model performance and drift (MLOps)
Strong software engineering experience delivering production services and integrations (e.g., REST APIs), including testing practices, CI/CD, and operational support/observability.
Demonstrated ability to take ownership of assigned solutions, working independently while aligning with established architecture and standards.
Strong problem-solving and analytical skills required to understand the requirements of both business and technology stakeholders to ensure data solutions align with organizational goals.
Exceptional verbal and written communication skills, enabling clear and effective articulation of data-related solutions and challenges.
Familiarity with Agile methodologies and DevOps practices in data analytics environments.
Familiarity with data governance concepts or metadata management is an asset.
Experience integrating data pipelines with internal and external ERP/CRM platforms (e.g., Oracle, Workday, Dynamics) using API connectors, webhooks, and modern ETL tools is an asset.
Exposure to advanced analytics, data science, machine learning, or AI‑enabled workflows is an asset.
Relevant Azure and Databricks certifications are an asset.
EDUCATION
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or related quantitative or technical discipline. A Master’s degree in a related field is an asset
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
[email protected] to notify us of any needs related to your job application.
