Senior Application Developer; C # to develop scalable data solutions using Azure Databricks, Python
Job in
Toronto, Ontario, M5A, Canada
Listing for:
S.i. Systems
Contract
position
Listed on 2026-07-19
Job specializations:
-
Software Development
Data Engineering, SQL Developer, Azure, Python
Job Description & How to Apply Below
Position: Senior Application Developer (7+ years with C#) to develop scalable data solutions using Azure Databricks, Python
Our financial services client is seeking a Senior Application Developer (7+ years with C#) to develop scalable data solutions using Azure Databricks, Python notebooks, job orchestration, and cloud data platforms
Join a project-focused initiative supporting vendor integration within a large banking environment. This role focuses on designing, building, and supporting enterprise-grade data platforms across Azure Databricks, ADLS, ADF, Azure SQL, Airflow, SQL, and API service layers. The position supports scalable processing of multi-millions of records daily while contributing to modern data engineering and automation initiatives. This is a long-term contract opportunity within a large technology team.
Contract, Toronto, Hybrid, 4 days onsite,
79 Wellington Street West
12 months
Must Haves
7+ years development experience in needed language or technology (e.g.
- C#, C++, HTML.) delivering enterprise-scale data solutionsHands-on expertise with Azure Databricks
, ADLS
, ADF
, Azure SQL
, and AirflowAdvanced development using Python notebooks
, SQL
, job orchestration
, and API service layersExperience building scalable data platforms processing multi-millions of records dailyUniversity degree in computer science, engineering, math, or related disciplineNice to Have
Integrating AI into the SDLC using reusable prompts, skills, instructions, and agentsBuilding enterprise-grade software and reusable frameworksDesigning scalable solutions for high-volume data processingResponsibilities
Develop and maintain technical solutions aligned with engineering and architectural design principlesDesign, build, operationalize, and support enterprise-grade data solutions across Azure-based platformsAutomate data ingestion, transformation, notebook execution, job scheduling, and deployment activitiesIntegrate automated and self-serve data pipeline, notebook job, and API service releases with operational processesImplement reusable data engineering frameworks and scalable processing componentsCollaborate with technology partners to identify and leverage data platform synergiesWork with vendor platform providers and engineering teams to evaluate emerging technologies and frameworks
Position Requirements
7+ Years
work experience
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:
