Job Title: Manager, Data Engineer Location: Toronto, Ontario, Canada Work Model: Hybrid – 3 to 4 days/week from client office Duration: Long Term Contract Start Date: ASAP

About the Role: We are looking for a highly skilled Manager, Data Engineer to design, develop, and optimize scalable cloud-native data platforms supporting enterprise-level investment and portfolio management workflows. This role requires strong hands-on expertise in modern big data technologies, distributed data processing, and lakehouse architectures.

The ideal candidate will be comfortable operating independently in fast-paced and ambiguous environments while collaborating closely with stakeholders across investment, risk, and operations teams.

Key Responsibilities: Develop and optimize Spark-based workloads in cloud environments Design and build scalable data pipelines using Python and PySpark Work with large-scale datasets using modern storage formats such as Parquet and Iceberg Collaborate with business and technical stakeholders to translate requirements into robust engineering solutions Ensure high performance, scalability, reliability, and maintainability of data platforms Support production readiness including deployment, monitoring, documentation, and operational excellence Contribute to cloud-native data modernization initiatives and distributed data processing architectures Independently manage delivery, proactively identify risks, and communicate progress effectively

Required Skills & Experience: Strong hands-on experience with Python and PySpark Deep experience with Apache Spark in cloud-native environments Hands-on experience with Databricks Experience working with large-scale distributed data systems Strong understanding of Parquet and Apache Iceberg table formats Experience with AWS data services including Glue and Lake Formation Experience with workflow orchestration tools such as Airflow Strong understanding of distributed data processing architectures Proven ability to independently deliver complex engineering solutions with minimal supervision Prior consulting, advisory, or client-facing delivery experience Strong analytical, problem-solving, and communication skills

Preferred Qualifications: Experience within capital markets, investment management, or financial services Exposure to enterprise investment and portfolio management workflows Experience supporting cloud-native lakehouse platforms and modern data ecosystems