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Data Engineer
Data EngineerCrestpoint Real Estate Investments • Vancouver, British Columbia, Canada
Data Engineer

Data Engineer

Crestpoint Real Estate Investments • Vancouver, British Columbia, Canada
4 days ago
Job type
  • Full-time
Job description

Data Engineer

Connor Clark & Lunn Financial Group

Vancouver BC

Interested in joining one of Canadas top performing asset managers We are looking for a Data Engineer for an existing vacancy in our IT department Connor Clark & Lunn Financial Group (CC&LFG) is building an Data Integration & AI Enablement Team to accelerate the responsible adoption of AI across the organization. The Data Engineer will design build and manage the pipelines governance controls and semantic context that power enterprise-wide AI and analytics. At CC&LFG you will help lay the foundation for agentic AI in financial services designing the data governance and orchestration systems that make AI reliable explainable and enterprise-ready. Youll work on cutting-edge AI pipelines enabling the business to move from AI-assisted insights to AI-driven autonomous workflows. This role goes beyond integration : it ensures data is optimized for autonomous and agentic AI systems that can plan act and adapt dynamically within guardrails. You will create the trusted foundation on which AI agents copilots and orchestration frameworks securely operate. Our offices currently operate on a hybrid model with three days in office.

What You Will Do

Design & Build Pipelines

  • Develop scalable ETL / ELT processes to integrate structured semi-structured and unstructured data from diverse systems (applications APIs databases).
  • Enable real-time and event-driven data flows to support autonomous agent decision-making.

Safeguard Data & Governance

  • Implement robust controls for security privacy compliance and bias mitigation.
  • Establish observability and audit trails for agentic AI pipelines ensuring transparency and accountability.
  • Enable AI & Agentic Readiness

  • Enrich datasets with semantic context and metadata to power LLM ingestion RAG pipelines embeddings and multi-agent collaboration.
  • Build connectors and APIs that allow agentic AI systems to dynamically query retrieve and act on enterprise data.
  • Support workflow orchestration across AI agents and business systems.
  • Operationalize Agentic AI

  • Develop feedback loops and monitoring systems to detect drift hallucinations or risk in autonomous AI actions.
  • Streamline Knowledge Sharing

  • Document integration processes orchestration patterns and governance standards to ensure reuse and cross-team adoption.
  • Collaborate Across Teams

  • Drive alignment between technical infrastructure and business value realization from agentic AI.
  • What You Bring

  • 2 years experience building resilient scalable data pipelines for structured and unstructured datasets.
  • Strong skills in SQL Python orchestration frameworks (Airflow Prefect Dagster) and modern data transformation tools.
  • Experience with cloud platforms (Azure AWS Microsoft Fabric) and integration with AI / ML services.
  • Experience in data modeling semantic enrichment embeddings and vector databases for LLM / RAG pipelines.
  • Understanding of agentic AI concepts : workflow orchestration autonomous decision-making human-in-the-loop design and safety guardrails.
  • Knowledge of data governance practices including AI ethics security privacy compliance and auditability.
  • Ability to collaborate with engineers AI product teams and business leaders to make enterprise data agent-ready.
  • The salary range for this position is $120000 - $130000. The salary range provided reflects the base salary range for this position as required by addition there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process.

    About Connor Clark & Lunn Financial Group :

    At Connor Clark & Lunn Financial Group we understand the value of opportunity for our clients and our team. Independent and employee-owned we partner with investment professionals to grow successful asset management businesses giving them the space to innovate and truly make an impact.

    With more than 40 years of history and offices across Canada and in the US the UK and India CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over CAD$180 billion in assets providing a diverse range of traditional and alternative investment products and solutions to institutional high-net-worth and retail clients.

    For a closer look at how you can build your career with us we invite you to explore .

    CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender ethnicity religion sexual orientation or expression disability or age.

    To apply for this position please submit your resume and cover letter as one application will be reviewed by a member of the hiring team - AI is not used in the screening assessment or selection of applications at this time.

    We thank all applicants in advance for their interest but only those candidates shortlisted for interviews will be contacted. No telephone calls or recruitment agencies will be accepted.

  • #LI-hybrid
  • #LI-KC1
  • Required Experience :

    IC

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 120000 - 130000

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