Posting Title: (Junior) Data Engineer (12-Month Contract)
Department: Enterprise Enablement
Full/Part Time: Full Time
Job Type: Contract
Location: Vancouver
Work Arrangement: Hybrid
Salary Range: $56,294.00 - $107,310.00
Close Date: November 1, 2026
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.
PROVISOSCandidates 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.
