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    • Data Engineer, Data Integration - Toronto, Ontario - OMERS

    OMERS
    OMERS Toronto, Ontario

    2 months ago

    Description

    Choose a workplace that empowers your impact.
    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, and support the communities where we live and work.

    Don't just work anywhere — come build tomorrow together with us.

    Know someone at OMERS or Oxford Properties?
    Great If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

    This is your chance to launch your data engineering career with a dynamic team supporting OMERS Capital Markets, Total Portfolio Management, and Corporate Finance. You'll work alongside investment professionals to develop and maintain data solutions that power our pension promise. We welcome recent graduates and early-career professionals (<5 years experience) who are eager to grow their skills in financial data systems.

    The official title within the team is Technical Analyst, Data Integration & Performance Platform

    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. Our flexible hybrid work guideline requires teams to come to the office a minimum of 4 days per week.

    What You'll Do

    • Data Integration & Engineering:

    • Develop and maintain database objects (tables, stored procedures, functions).

    • Integrate structured and unstructured data into investment data warehouses and BI solutions.

    • Design and deploy data pipelines and infrastructure to support analytics, reporting, and downstream systems.

    • Reporting & Analytics Collaboration:

    • Build and optimize reports/dashboards using SSRS, Power BI, or similar tools.

    • Partner with analysts to translate business needs into technical solutions (e.g., stored procedures, data models).

    • Process Optimization & Automation:

    • Support, automate, and optimize existing data processes (ETL, scheduled jobs, workflows).

    • Troubleshoot data issues and improve system performance.

    • Technical Development & Project Delivery:

    • Maintain web applications (ASP.NET) and integrate data across financial platforms (e.g., CRD, Bloomberg).

    • Define requirements, implement system interfaces, and assist in workflow automation.

    • Implement controls and standards for data quality and application governance.

    • Stakeholder Engagement & Support:

    • Provide user support for applications, reports, and ad-hoc data requests.

    • Collaborate with internal teams (IT, investments) and external vendors to enhance systems.

    Must-Have Qualifications
    What We're Looking For- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
    - 1-5 years of experience or academic projects involving:

    • SQL and relational databases (e.g., SQL Server, Oracle).
    • Programming (C#, Java, Python, or similar).
    • Data analysis and problem-solving.
    • Strong communication skills to bridge technical and business teams.
    • Ability to juggle priorities in a fast-paced environment.

    Nice-to-Have Experience

    • Exposure to financial systems (CRD, Bloomberg, Calypso, Eagle Pace).
    • Experience with Generative AI tools (e.g., ChatGPT, Claude, Gemini, Midjourney, or similar).
    • Familiarity with prompt engineering and context optimization for AI-driven workflows.
    • Ability to leverage AI for content generation, automation, or data analysis.
    • Knowledge of LLM fine-tuning, RAG (Retrieval-Augmented Generation), or AI-assisted development is a plus.
    • Scripting (PowerShell, VBScript) or Microsoft Power Platform (Power Apps/Automate).
    • Web development (ASP.NET, JavaScript) or cloud data tools (Azure, AWS).
    • Internships or projects in financial data pipelines or BI solutions.

    As one of Canada's largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where 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 committee and employee recognition programs.

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