Sr. Data Engineer - Toronto, ON (Hybrid)

Pozent Corporation; Toronto; On-site; CAD 90,000 - 135,000; Full time

Job summary

Pozent is seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. You will design and deliver scalable data solutions in a cloud-native environment, focusing on Spark workloads and large-scale datasets.

This is a subcontractor engagement requiring proactive, independent work with strong communication to stakeholders. The role emphasizes delivery without detailed guidance, production readiness, and collaboration across teams to meet objectives.

Qualifications

• Strong Python with PySpark
• Hands-on experience with Apache Spark (cloud environments)
• Experience working with large-scale data systems
• Familiarity with columnar formats (Parquet) and modern table formats (Iceberg)
• Experience with Databricks
• Prior consulting, advisory, or client-facing delivery experience
• Ability to operate effectively in ambiguous environments
• Proven independent delivery without close supervision
• Strong problem-solving and continuous improvement mindset

Responsibilities

• Develop and optimize Spark-based workloads in cloud environments
• Work with large-scale datasets using modern storage formats
• Collaborate with stakeholders to translate data requirements into robust engineering solutions
• Ensure high performance, reliability, and maintainability of data platforms
• Contribute to production readiness, including monitoring, documentation, and deployment

Skills

Python PySpark

Apache Spark

Big data systems

Parquet

Iceberg

Databricks

Client-facing

Ambiguity tolerance

Independent delivery

Problem solving

Continuous improvement

AWS Glue

Airflow

Distributed architectures

Capital markets

Tools

Databricks

Job description

Location: Toronto, ON (4 Days onsite/week)

Start date: ASAP

Project Description

We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing systems in a cloud-native environment. You are expected to independently design and deliver scalable data solutions with minimal oversight.

This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, and communicate progress effectively. This role is for subcontractors engagement.

Responsibilities

• Develop and optimize Spark-based workloads in cloud environments
• Work with large-scale datasets using modern storage formats.
• Collaborate with stakeholders to translate data requirements into robust engineering solutions
• Ensure high performance, reliability, and maintainability of data platforms
• Contribute to production readiness, including monitoring, documentation, and deployment

Skills - Must have

• Strong Python with PySpark
• Hands-on experience with Apache Spark (preferably in cloud environments)
• Experience working with large-scale data systems
• Familiarity with columnar formats (Parquet) and modern table formats (Iceberg)
• Experience with Databricks
• Prior consulting, advisory, or client-facing delivery experience
• Ability to operate effectively in ambiguous environments
• Proven independent delivery without close supervision
• Strong problem-solving and continuous improvement mindset

Nice to have

• AWS data services (Glue, Lake Formation)
• Workflow orchestration tools (Airflow)
• Experience with distributed data processing architectures
• Capital markets experience

Why This Role

• Opportunity to directly impact business growth by identifying and hiring the right IT talent for critical projects.
• Hands-on exposure to diverse technologies and stakeholders, strengthening recruitment and domain expertise.

Company Name: Pozent

• Pozent is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients and achieve measurable business outcomes.
• Our team is geared towards innovation and thrives where talent meets opportunity.
• We work on Generative AI, Cloud, Data Engineering, Automation, and Full-Stack Development, delivering impactful projects

Why Join Us

• Exciting Global Projects and career growth: Work directly with top clients and cutting-edge technologies providing a rapid learning curve, skill development, and clear career progression.
• Innovation Culture and supportive environment: You are not just joining a company - you're becoming part of a dynamic innovation ecosystem that empowers you to learn, explore, create, grow and lead.