Data Engineer - Capital Markets

synechron; Mississauga; Hybrid; CAD 120,000 - 125,000; Full time

Benefits offered by this job

Paid annual leave

Personal leave

Health insurance

Flexible hybrid policy

RRSP with employer contribution

Education benefits (Udemy for Business

Job summary

Synechron in Mississauga, ON is seeking an experienced Senior Data Engineer to design, develop, and optimize enterprise-scale data platforms for Capital Markets, including Snowflake-based warehouses, ETL/ELT pipelines, and analytics across trading, risk and regulatory reporting.

The role requires 8+ years in data engineering, strong SQL, Snowflake expertise, and Python/PySpark, with a flexible hybrid work policy and competitive compensation in Canada.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline.
• 8+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Strong Capital Markets domain knowledge and workflow understanding.
• Experience in Agile delivery environments.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions and data pipelines.
• Build and optimize enterprise Data Warehouse solutions using Snowflake.
• Develop complex SQL queries, stored procedures, views, and data transformation logic.
• Create and support ETL/ELT frameworks for large volumes of financial data.
• Collaborate with analysts, traders, risk teams and data consumers to define data needs.
• Ensure data quality, governance, and security across the data ecosystem.
• Participate in architecture discussions and optimize cloud adoption practices.
• Provide documentation, data lineage, and operational support.

Skills

SQL

Data Warehousing

Snowflake

Python / PySpark

Agile delivery

Education

Bachelor's degree in CS/Engineering/IS

Tools

SSIS

Job description

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-scale data platforms and analytical solutions that support trading, risk management, regulatory reporting, market data, and other capital markets functions. This role requires hands-on experience building high-performance data pipelines, modern cloud-based data warehouses, and scalable ETL/ELT solutions. Candidates with a strong understanding of Capital Markets products and workflows will be highly preferred.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $120k - CAD $125k/year & benefits (see below).

The Role

Responsibilities:

• Design, develop, and maintain scalable data engineering solutions and data pipelines.
• Build and optimize enterprise Data Warehouse solutions using Snowflake.
• Develop efficient and complex SQL queries, stored procedures, views, and data transformation logic.
• Create and support ETL/ELT frameworks for ingesting and processing large volumes of financial data.
• Collaborate with business analysts, traders, risk teams, and data consumers to understand data requirements.
• Design data models that support reporting, analytics, and regulatory compliance needs.
• Ensure data quality, integrity, governance, and security across the data ecosystem.
• Troubleshoot performance bottlenecks and optimize database and warehouse performance.
• Participate in architecture discussions and recommend best practices for data engineering and cloud adoption.
• Support production deployments and manage ongoing enhancements to data platforms.
• Create technical documentation, data lineage, and operational support procedures.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 8+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Strong Capital Markets domain knowledge.
• Deep understanding of market data, reference data, trading systems, risk, securities, fixed income, equities, derivatives, or front-to-back office processes.
• Experience working in Agile delivery environments.

SQL

• Expert-level SQL development experience.
• Complex joins, analytical functions, window functions, stored procedures, and query performance tuning.
• Data reconciliation and optimization of high-volume datasets.

Data Warehouse

• Strong experience designing and implementing Data Warehouse solutions.
• Dimensional modeling.
• Star schema and Snowflake schema design.
• Data Mart architecture.
• Data integration and historical data management.

Snowflake

• Hands-on Snowflake development and administration experience.
• Snowflake architecture and performance optimization.
• Data loading and transformation using Snowflake.
• Snowpipe, Streams, Tasks, Time Travel, and Cloning concepts.
• Security, role-based access, and data governance within Snowflake.

Python / PySpark

• Experience developing data ingestion and transformation pipelines.
• Data processing using PySpark.
• API integration and automation.
• Data validation and quality frameworks.
• Performance tuning of Spark workloads.

Preferred, but not required:

SSIS

• Experience developing and supporting SSIS packages.
• Legacy ETL migration to modern cloud platforms.
• Scheduling and monitoring ETL workflows.

We offer:

• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
• Flexible hybrid policy.
• RRSP with employer's contribution up to 4%.
• A higher education certification policy.
• On-demand Udemy for Business for all Synechron employees with f