Data Engineer - Intermediate

We welcome applications from all qualified job seekers. Should you require any accommodations, including alternative interview formats, assistance with online assessments, or an ASL interpreter, throughout the application or hiring process, please email your request to accessibility_services@icbc.com – we are committed to ensuring an accessible experience for all candidates.

At ICBC, we strive to build diverse teams which reflect the communities we serve. To support this, we’ve created two talent communities for Indigenous Peoples and People with Disabilities.  By joining one of these communities, you’ll connect with our recruitment team who will guide you through the application process and help you explore opportunities at ICBC. Of course, you’re welcome to apply for jobs at ICBC whether or not you join a talent community.

We look forward to hearing from you!

We welcome applications from all qualified job seekers. If you are an employee with a disability, please let us know as adjustments can be made to help support you in delivering your best performance.

The Intermediate Data Engineer will join the Data Services team in Data Management Dept. and focus on the development of Machine Learning, Data Science, Performance and Evaluative analytics solutions, working closely with business partners and stakeholders to meet their decision-support requirements.

As the consolidation point for all business intelligence and business analytics functions across ICBC, the Information Management team's goal is to empower the organization to drive efficiencies and savings across all facets of the business. This is accomplished by providing internal and external customers with precision data driven solutions, query and analysis, statistical, descriptive analysis, and performance measurement (machine learning models, dashboards, scorecards and indicators).

Accountabilities will include:
•    Working in collaboration with customers across the organization (Strategic Analytics, Actuarial, Claims, Insurance, Finance, Driver Licensing, Road Safety, Regulatory Affairs etc.) to plan, scope, execute and sustain machine learning operations and data science based solutions.
•    Operationalizing Data Science Model into Machine Learning pipelines, applying coding optimization of the data science models, conducting model training and re-training, deploying the models and sustaining them in Production.
•    Responding to data requests, data discovery and data profiling to support various data science, evaluative and machine learning solutions and projects, reviewing and clarifying data requirements, ensuring the data artifacts are acceptable within policy and privacy protocols.
•    Providing subject matter & data expertise to the Strategic Analytics, Actuarial and Regulatory Affairs departs as well as ICBC divisional clients on data sources, reporting workflows, business process, and the appropriate tools with which to analyze their data.
•    Participating with corporate data user teams, developing data science model validation and test plans, performing user acceptance testing, and providing support to data scientists, evaluative & performance metrics analysts and sustainment of their end products.
•    Conducting analysis for moderate to complex strategic solutions and POCs, defining data fields and determining data availability, developing information layout, format and interactivity. Presenting findings and providing clarification.

Position Requirements:
To make an immediate contribution, the Intermediate Data Engineer will bring the following:
•    Hands-on experience implementing LLM solutions for document extraction/classification/summarization with structured outputs (JSON/function calling), validation, and fallbacks.
•    Proven experience designing and operating RAG pipelines end-to-end (chunking, embeddings, vector indexing, hybrid retrieval, re-ranking, answers with citations).
•    Experience building LLM Agents / tool-using workflows (multi-step orchestration, tool/function integration, guardrails, state/memory, reliability testing).
•    Hands-on experience building production OCR/document AI pipelines for PDFs/images (pre/post-processing, layout/table extraction).
•    Strong MLOps/LLMOps experience: model/prompt/version control, automated evaluation & regression tests, CI/CD deployment etc.
•    Advanced skill in Object Oriented programming languages such as Python or Scala.
•    Working experience with Big Data platforms, with exposure to Hadoop ecosystem (Spark, HDFS, Hive, Kafka).
•    Experience with CI/CD tools like Jenkins, GitLab, Fisheye
•    Proven experience in building and deploying machine learning models.
•    Advanced working SQL knowledge and experience working with Relational and NoSQL databases.
•    Strong data quality management process understanding, data analysis and data profiling.
•    Ability to apply critical thinking skills to troubleshoot and perform root cause analysis on technical problems and solution design.
•    Providing technical advice and guidance to staff in resolving complex data ingestion and transformation issues.
•    Experience with performance tuning and code optimization.
•    Design, develop and enforce best practices and standards around MLOps & data engineering.
•    Ability to work effectively with a team or independently, as well as lead small teams as needed.
•    Demonstrating leadership qualities in coaching junior staff members and new hires.
•    Understanding of Agile Methodologies.
•    Excellent interpersonal, verbal and written communication skills to work with Business Partners, IS Managers, Directors and Executive level leaders.
•    Knowledge or working exposure to Cloud technologies including AWS & Azure and demonstrable working experience with reporting and visualization tools, such as Tableau, user interface design, and Geospatial Analysis and knowledge of iterative customer-driven design processes.

About us: 

At ICBC, it’s our job to make sure the car insurance system works for all British Columbians, today and in the future. Check out our ICBC Year in Review 2025  to learn more about what we've accomplished! If you want to make the most of your skills and expertise while growing your career, we want you. A career at ICBC is an opportunity to be part of a talented, diverse and inclusive team that is driven to serve its customers and community. You can expect a competitive salary, comprehensive benefits and a collaborative work environment. If you are reliable and dependable, contact us today to be part of our talented and diverse team as we work together to create an insurance system we can all be proud of.

 Our values guide how we interact with customers, partners, and each other. They shape our decisions and create a culture where employees feel inspired and empowered to do their best work.

• Collaborative: We include different perspectives to reach our common goals.
• Supportive: We seek to understand to meet diverse and evolving needs.
• Straightforward: We simplify the complex to make things easier.
• Knowledgeable: We gain knowledge through experience and learning to make informed decisions.

Work arrangements defined: 

• Hybrid 8 – you will work a minimum of 8 days in a 4-week period at your primary office headquarters (typically 2 days per week). The remaining days will be remote within British Columbia. 

#IND1