Senior Manager Data Engineer

Electric Mind Inc.; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

Electric Mind Inc. is seeking a Data Engineer to provide hands-on expertise in data management, analytics, and BI. You will work with a blend of technical, software, and cloud engineering to deliver scalable data solutions.

In an Agile setting, you will design pipelines, model data, and collaborate across teams, leveraging Snowflake, Python, Spark, and cloud services to meet client goals.

Qualifications

• Bachelor’s degree in data-related field or equivalent experience.
• Strong knowledge of Snowflake, Python and SQL.
• Experience with cloud data services (Azure/AWS) and data management.
• Familiarity with Databricks or Apache Spark.
• Ability to model data, perform analytics, and deliver BI solutions.

Responsibilities

• Design high-quality, scalable data pipelines and architectures.
• Guide data modeling, analytics, visualization, and BI implementation.
• Estimate, plan, and prototype data solutions.
• Collaborate with cross-functional teams on software features and delivery.
• Contribute to end-to-end data consulting projects, on time and budget.
• Explore new technologies and processes to improve data workflows.
• Clarify requirements with team and client representatives.

Skills

Snowflake

Python

Databricks

Apache Spark

Azure Cloud

AWS Cloud

Master Data Management

SQL

Data management

Analytics

Business Intelligence

Education

Bachelor’s Degree in Data Science, Business Analytics or Computer Science

Tools

PowerBI

Tableau

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 and technology 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.

While working with teams in an Agile environment, you will be:

• 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

Must Have' Skills/Experience

• 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)

Nice to Have' Skills/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)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.