Senior Data Engineer

at  OMERS

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Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.
We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.
Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.
Don’t just work anywhere — come build tomorrow together with us.
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We are seeking a highly skilled and experienced Senior Data Engineer to join our Data Platform team at OMERS. The ideal candidate will have over 8 years of experience working with Data Warehouses and modern data platforms, along with a strong proficiency in SQL, Python and PySpark. The candidate should also have a solid understanding of firewall and networking concepts as they relate to data platforms. Expertise in at least one of the following tools is required: Databricks, Snowflake, or Azure Data Factory. The candidate must have worked in collaborative development environments using either GitHub or Azure DevOps, including CI/CD.
We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3+ days per week.

QUALIFICATIONS:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Over 8 years of experience in Data Engineering, with a focus on Data Warehouses and modern data platforms.
Strong proficiency in SQL and experience with database management systems.
Strong proficiency in Python, PySpark.
Must have experience working in a collaborative development environment using either GitHub or Azure DevOps, including CI/CD.
Solid understanding of firewall and networking concepts related to data platforms.
Expertise in at least one of the following tools: Databricks, Snowflake, or Azure Data Factory.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.
From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs

Design, develop, and maintain scalable data pipelines and systems.
Implement and optimize data products, ensuring high performance and reliability.
Collaborate with cross-functional teams to understand data product requirements and deliver solution.
Ensure data quality and integrity through rigorous testing and validation.
Monitor and troubleshoot data platform issues, providing timely resolutions.
Stay updated with the latest industry trends and technologies to continuously improve our data platform.
Bring your smile and sense of humor to actively engage with peers and customers.