Data Engineer

Medium; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A consulting technology leader in Toronto is seeking a Data Engineer to design scalable data architectures and provide expertise in data management and analytics. Ideal candidates will have a strong background in SQL and cloud services, particularly Azure or AWS. This role emphasizes collaboration, innovation, and a growth mindset, making it an exciting opportunity for professionals looking to advance their careers in data engineering.

Benefits

Diversity and inclusion in the workplace

Continuous learning opportunities

Career advancement opportunities

Qualifications

• In-depth knowledge of data management, analytics, business intelligence, and related technologies.
• Growth mindset and desire to learn.
• Experience in data modeling or schema design.

Responsibilities

• Designing high quality data pipelines/architectures.
• Providing guidance on data modeling and solutions.
• Collaborating with cross-functional teams on projects.

Skills

Snowflake

Databricks

Apache Spark

SQL

Azure Cloud Data Services

AWS Cloud Data Services

Data Management

Business Intelligence

Proficiency in Python

Proficiency in R

Education

Bachelor's Degree in Data Science

Bachelor's Degree in Business Analytics

Bachelor's Degree in Computer Science

Tools

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 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.

Responsibilities

• 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, 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 Factory 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)

For more info on Electric Mind, check out our Careers Page and Instagram.

Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.