Senior Data Engineer, Data Platform & Operations

We're searching for a Senior Data Engineer, Data Platform & Operations. Are you searching for new possibilities?

Westland Insurance Group Ltd. is growing and has a new opportunity for a Senior Data Engineer, Data Platform & Operations. This role is a hybrid role based out of our head office in Surrey, BC.

Are you passionate about building scalable data platforms, solving complex technical challenges, and turning data into a strategic business asset? If so, we'd love to hear from you. We're looking for a technically skilled and collaborative professional who is excited to help shape the future of Westland's enterprise data ecosystem.

Expected Compensation: The expected annual hiring range for this role is $120,000 to $147,000 based on a 35-hour work week. Actual offered salary will depend on the successful candidate's qualifications and experience, as well as market conditions for the role and internal equity.

Westland is committed to continuous learning where employees can grow their potential and write the stories of their careers. Financial assistance is available for approved work-related training and development courses leading to certification, as well as programs that support professional development, including seminars and conferences.

Discover what’s possible, with Westland. 

The Westland story is all about growth, and that means plenty of possibility for everyone on our team. Every day, Westland proves that building a great business means taking care of clients, communities, and each other with equal commitment. As we continue to open new doors, we're inviting amazing people like you to join us.

As a Senior Data Engineer, you'll play a key role in designing and delivering modern data solutions that support analytics, reporting, and advanced data initiatives across the organization. Working with technologies including Microsoft Fabric, Azure Databricks, Apache Spark, and Delta Lake, you'll help build the trusted, scalable, and governed data foundation that enables teams across Westland to make data-driven decisions with confidence.

Interested in learning more?

Why you'll love Westland:

• An open, flexible and welcoming workplace  
• Plenty of opportunities to grow and learn 
• Autonomy to own your own success 
• Be part of our inclusive culture, alongside an extraordinarily talented community of people with a wide variety of backgrounds
• Total rewards program that takes care of your financial, physical, and mental health  
• Flexible paid Values Days to celebrate days important to you
• Amplifying Communities, a program to support causes that matter most to our employees
  
  

Why we'll love you:

• You bring 7+ years of experience in data engineering, helping to design, build, and optimize enterprise data platforms, pipelines, and data products.
• You have strong expertise in SQL, Apache Spark (PySpark), Azure Databricks, Microsoft Fabric, and modern cloud-based data engineering practices.
• You have experience designing data lakes, warehouses, lakehouse architectures, and analytics-ready datasets that support reporting, analytics, and business decision-making.
• You’re passionate about building scalable, reliable, and secure data solutions, with a focus on performance, governance, operational excellence, and data quality.
• You have experience with enterprise data governance frameworks and tools such as Microsoft Purview, and experience with Power BI and Azure Synapse is considered an asset.
• You're an effective communicator who can collaborate with technical and non-technical stakeholders, while mentoring others and contributing to engineering best practices.
• You embrace continuous learning and stay current with evolving technologies, and industry certifications such as Databricks Certified Data Engineer Professional or Azure Data Engineer Associate (DP-203), as well as experience within the P&C insurance industry, are considered assets.
  

Once here, you'll: 

• Design, develop, and maintain scalable data pipelines and data products that support reporting, analytics, AI initiatives, and enterprise decision-making.
•  Build and optimize solutions using Microsoft Fabric, Azure Databricks, Apache Spark (PySpark), SQL, and Delta Lake while implementing modern data architectures and modelling practices.
• Deliver trusted, governed datasets by implementing data quality, lineage, security, and access controls that support enterprise data management standards.
• Partner with Data Products & Enablement, Data Business Partners, and technology teams to develop innovative solutions that address business challenges and opportunities.
• Monitor, maintain, and continuously improve enterprise data platforms through automation, alerting, troubleshooting, and performance optimization to ensure reliability, scalability, and cost efficiency.
• Champion engineering excellence through CI/CD, testing, documentation, version control, and secure development practices.
• Provide technical leadership and mentorship while driving continuous improvement across data platforms, processes, and technologies.

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Want to get to know each other better? Send your resume our way.