Senior Manager Data Engineer

Electricmind; Toronto; On-site; CAD 95,000 - 135,000; Full time

Job summary

Electric Mind is seeking a Data Engineer in Toronto to build scalable data pipelines and data platforms. You will work with Snowflake, Python, Databricks/Spark and cloud services to deliver BI solutions for financial services clients.

The role emphasizes collaboration, fast prototyping, and translating business requirements into robust data architectures with modern tools like PowerBI/Tableau and Airflow.

Qualifications

• Bachelor’s or Master’s degree in a relevant field and equivalent experience.
• Proficiency in data management, analytics, and business intelligence concepts.
• Strong SQL skills and experience with data modeling.
• Experience with cloud data platforms (Azure/AWS) and data integration tools.

Responsibilities

• Designing high quality data pipelines/architectures that are highly scalable and extensible
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Skills

Growth mindset

SQL proficiency

Data modeling

Agile methodologies

Financial services experience

Education

Bachelor’s Degree in Data Science, Business Analytics or Computer Science (or equivalent education/experience)

Master’s Degree in Data Science, Business Analytics or Computer Science (or equivalent education/experience)

Tools

Snowflake

Python

Databricks

Apache Spark

Azure Cloud Data Services

AWS Cloud Data Services

PowerBI

Tableau

Talend

Apache Airflow

AWS Glue

Azure Data Factory

Kafka

Job description

As Data Engineer, you will provide hands‑on expertise as it relates to data management, analytics, and business intelligence. This opportunity will allow you to utilize your unique blend of technical, software and cloud engineering experience.

Electric Mind, formerly Intelliware, is a business andtechnology consulting leader in providing innovative, practical solutions driven by engineering excellence. We work differently here; you will find continuous opportunities to learn, grow, and share knowledge within your team and the expert communities at Electric Mind all while delivering excellence.

• Designing high quality data pipelines/architectures that are highly scalable and extensible
• Providing guidance on data modeling, analysis, visualization, and implementation of data solutions
• Estimating, tasking, and prototyping
• Collaborating with cross‑functional team members on software features, design and implementation
• Participating in the end‑to‑end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations
• Investigating, learning and applying new technologies and processes
• Clarifying requirements with team and client representatives

• Snowflake
• Python
• Databricks or Apache Spark experience
• Design and implementation experience with Azure Cloud Data Services and/or AWS Cloud Data Services
• Design and implementation experience with Master Data Management, especially customer and reference data for financial services
• Proficiency in SQL
• In‑depth knowledge of data management, analytics, business intelligence, and related technologies
• Growth mindset and desire to learn
• Bachelor’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)

• PowerBI or Tableau or data visualization experience
• Talend, Apache Airflow, AWS Glue, and Azure Data Factor experience
• Proficiency in Python or R
• Experience in data modeling or schema design
• Experience with Kafka or other data streaming tools
• Financial Services industry experience
• Sales, pre‑sales, or consulting experience
• Exposure to and enthusiasm for Agile approaches
• Master’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)