Data Engineer

Toronto, ON
Hybrid
Posted Sep 23, 2026
1 position

Opens an external site

Employment type: Full-time, Contract
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will design and implement scalable data pipelines and architectures while providing guidance on data modeling and visualization. Additionally, you will collaborate with cross-functional teams to deliver data consulting projects within an Agile environment.

Job details

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. \n 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) \n

What you’ll do

Requirements

Candidates must have experience with Snowflake, Python, Databricks or Spark, and cloud data services from Azure or AWS. A bachelor's degree in a relevant field such as Data Science, Business Analytics, or Computer Science is required.