Senior Consultant/Manager - Data Engineer
- Employment type
- Contract · On-site
- Posted
- November 8, 2026
- NOC code
- 21223 — Database analysts and data administrators
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21223 — Database analysts and data administrators. Electric Mind is hiring for this contract position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Senior Consultant/Manager - Data Engineer in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21223 — Database analysts and data administrators. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
- Experience building and maintaining data pipelines on Databricks
- Proficiency with PySpark
- Understanding of medallion architecture (bronze, silver, gold layers)
- Experience with Kafka or similar messaging systems
- Knowledge of financial services or wealth management data platforms
Fit check
Is this role right for you?
Top skills this posting asks for:
- Databricks
- PySpark
- Data Pipelines
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What you'll do
- Build and maintain data pipelines on Databricks
- Design and implement medallion architecture transformations
- Develop PySpark jobs for data transformation
- Ingest data from multiple source systems
- Publish curated data to downstream consumers
- Manage file exports and Kafka integrations
- Work alongside senior engineer and team members
- Support financial services/wealth management data platform
What you'll need
- Experience building and maintaining data pipelines on Databricks
- Proficiency with PySpark
- Understanding of medallion architecture (bronze, silver, gold layers)
- Experience with Kafka or similar messaging systems
- Knowledge of financial services or wealth management data platforms
- Data transformation and ETL experience
- Ability to work on both permanent and contract positions