Our financial services client is seeking a Senior Data Engineer to develop and modernize data pipelines using Google Cloud Platform (GCP)- 40709
Location: Toronto/Hybrid: 2 days in-office
Contract Duration: 06/29/2026 to 10/31/2026 (High Chance of Extension)
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week.
Story Behind the Need
- Business group: International Banking Technology Transformation (IBTT)
- Project: Data Platform Modernization project.
Setting up data pipeline to ingest large volumes of data from multiple on-premise applications into Google Cloud Platform (GCP).
Reason: Backfill to the contractor who moved to FTE.
SUMMARY
RESPONSIBILITIES
- Champions a client centric culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Functions as a member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
- Collaborates with cross functional stakeholders to build scalable data ingestion pipelines and improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making.
- Performs hands-on design and development with SQL/BigQuery/PySpark/Pandas, Parquet/ORC/Avro file formats processing, using appropriate data ingestion patterns, data modelling techniques and Airflow scheduling / orchestration.
- Setup ingestion pipeline using medallion framework and automate Data Quality validation processes.
- Perform testing, debugging and troubleshooting to support BAU operations and continuous improvements.
- Direct the identification and recommendation of appropriate solutions, and guide junior team members.
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
Candidate Requirements/Must Have Skills
- 8-10 years of relevant work experience
- 5+ years of experience in data engineering, including ETL/ELT development, data modeling, data quality, and governance.
- Proven experience designing and implementing cloud data solutions (GCP and/or Azure).
- 2+ years of experience leading or mentoring engineering teams.
- Strong hands-on experience with Python, Spark, Airflow, and advanced SQL.
- Solid understanding of data warehousing concepts, schema design, and analytical data models.
- Skilled in dimensional modeling and Cloud architectures
- Experience with CI/CD pipelines, version control (Git), and Infrastructure as Code.
- Knowledge of cloud security, data governance, and regulatory compliance in financial environments.
Nice-To-Have Skills
- Prior experience working in a regulated financial services or banking environment, supporting cloud migration or modernization initiatives.
- Experience working with Enterprise Data Lakes and Hadoop (HDFS/Hive)
Degrees or certifications
- Bachelor's degree in a related field required
- GCP Professional Data Engineer certification is nice to have
Best vs. Average Candidate
The ideal candidate would be an experienced Data Engineer with previous experience with Data modernization projects and recent experience with GCP. Previous experience with Top 5 Banks is highly preferred.
Candidate Review & Selection
1 Round of interviews: With HM and another senior engineer.
Structure and Format: MS Teams Interview - 1 hour.
Disclaimer
AI may be used in evaluating candidates.
This posting is for an existing vacancy. Apply
