Data Engineer – Python, Spark, Airflow, GCP

Job Description An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application. Location: Hybrid (Downtown, Toronto) Duration: 3 months Our client, a leading financial institution in Downtown Toronto, is looking for a Data Engineer - Python, Spark, Airflow, GCP to champion a client‑centric culture to deepen client relationships and leverage broader bank relationships, systems, and knowledge. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada. Typical Day in role • 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. 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). Soft Skills Required • Strong technical leadership and stakeholder communication skills. • Results‑driven with a strong sense of urgency. • Proactive problem‑solver with a growth mindset. • High level of accountability and ownership. • Ability to remove obstacles and drive delivery forward. • Strong teamwork and collaboration skills. • Excellent written and verbal communication skills. • English proficiency: Intermediate (B2+) or higher. Education • Bachelor's degree in a related field required. • GCP Professional Data Engineer certification. The hourly compensation range for this role is C$60 - C$70/hr. FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

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