Data Engineer to build and model governed data pipelines on GCP (BigQuery, Airflow, Dataflow, Dataproc) and Informatica for a leading Canadian digital bank’s data modernization. (Toronto)

Data Engineer to build and model governed data pipelines on GCP (BigQuery, Airflow, Dataflow, Dataproc) and Informatica for a leading Canadian digital bank’s data modernization. (Toronto)

03 Nov
|
S.i. Systems
|
Toronto

03 Nov

S.i. Systems

Toronto

Our financial services client is seeking an Int.

Data Engineer (5 to 7+ years) to build and model governed data pipelines on GCP, with strong data modeling, Big

Query, and Informatica experience.

Join a data modernization initiative within a leading Canadian digital banking environment focused on scalable enterprise data solutions.

This role supports the design and development of data pipelines, data warehouses, and data models using GCP (Big

Query, Dataflow, Dataproc, Apache Airflow), Informatica, Python, SQL, and Git.

The position also contributes to data governance, metadata management, lineage, and data quality across enterprise data platforms.

Contract, Toronto, Working Hours: EST 4 days on site Downtown Toronto Must Haves 5 to 7+ years in Data Engineering, data management solution design, and development Strong background in data modeling (conceptual, logical, physical, and dimensional) and data warehouse design and development Hands on data pipeline development on GCP, including Dataflow, Dataproc, and Apache Airflow Implementation of data governance, metadata management, data lineage,



and data quality Robust SQL, including Big

Query Hands on Informatica ETL development University or College degree in a relevant field, or equivalent professional experience Nice to Have Financial services background with retail banking exposure Data security, privacy, and access control Data mesh architecture and data product development Python, Git, CI/CD, and release management exposure Responsibilities Design and build scalable data pipelines, data warehouses, and data models Develop GCP data solutions using Big

Query, Dataflow, Dataproc, Apache Airflow, Informatica, Python, and SQL Design conceptual, logical, physical, and dimensional data models Build ETL/ELT processes and optimize data transformation workloads Apply data governance, metadata, lineage, and data quality principles Troubleshoot data and technical issues and recommend solutions Produce technical documentation covering data models, data flows, designs, and operational processes

📌 Data Engineer to build and model governed data pipelines on GCP (BigQuery, Airflow, Dataflow, Dataproc) and Informatica for a leading Canadian digital bank’s data modernization. (Toronto)
🏢 S.i. Systems
📍 Toronto

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