Senior data engineer to develop and modernize data pipelines using google cloud platform (gcp)- 40709

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

Want to see how well you match this job?