Data Engineer to build and maintain data pipelines Databricks Lakehouse Platform financial services
Job in
Toronto, Ontario, M5A, Canada
Listing for:
S.i. Systems
Full Time
position
Listed on 2026-02-16
Job specializations:
-
Software Development
Data Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Data Engineer to build and maintain data pipelines on the Databricks Lakehouse Platform for the financial services
We are looking for 2 Senior Data Engineers and 1 Data Engineer to build and maintain data pipelines on the Databricks Lakehouse Platform for the financial services industry
Full Time Permanent Role
3 times a week on site (Near King Station)
Salary Range: $,-$,/year
Must Haves
Skills:
Bachelor’s degree in computer science, Engineering, or related field5-7 years of experience in data engineering3+ years of hands-on experience with Databricks platformStrong programming skills in PythonExperience with Spark and distributed computingWorking knowledge of AWS services (S3, Glue, Lambda)Experience with Delta Lake and Lakehouse architectureFamiliarity with data modelling and SQLUnderstanding of ETL/ELT principles and patternsExperience with version control systems (
Git
)Experience with CI/CD for data pipelinesFamiliarity with Agile development methodologiesExperience with real-time data processing is a plusNice to Haves:
AI/MLJob Duties in Brief:
Participate and contribute on all team activities such as Sprint Planning, Sprint Execution, Daily ScrumDevelop and maintain data pipelines using Databricks Lakehouse and Delta LakeImplement ETL/ELT workflows using Spark (Python) in Databricks environmentWork with AWS services (S3, Glue) for data lake storage and catalog managementCreate and optimize Spark jobs for efficient data processing and cost managementBuild and maintain data quality checks and monitoring systemsConfigure and manage Databricks notebooks and jobsImplement proper security and access controls using Unity CatalogParticipate in code reviews and documentation effortsStay current with Databricks features and data engineering best practicesSupport real-time data processing using structured streaming when required
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
