Senior Data Engineer

Synechron; Mississauga; Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Flexible hybrid policy

RRSP with employer’s contribution up 4

Udemy for Business access

Global opportunities to work abroad

Career coaching and mentoring

Job summary

Synechron is seeking an experienced Senior Data Engineer to join our Capital Markets technology team in a hybrid setup. You will design and optimize data platforms and pipelines, focusing on SQL, Snowflake, and modern cloud-based ETL/ELT solutions for trading, risk, and regulatory reporting.

The role requires hands-on development of data pipelines, warehouse concepts, and performance tuning, with a strong emphasis on Capital Markets workflows and data governance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 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.

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.

Skills

SQL

Data Warehousing

Snowflake

Python / PySpark

SSIS

Education

Bachelor's degree in Computer Science/Engineering/IS

Job description

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.

Role Overview

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.

Key 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.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• Strong 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.

Must-Have Technical Skills

SQL

• 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 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.

Good-to-Have Skills

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 free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A truly diverse, fun-loving and global work culture.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.