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Lead Data Engineer

Canada's Challenger Bank with over $125 billion in combined assets, providing innovative digital banking solutions for Canadians.
Data
Staff Software Engineer
Hybrid
7+ years of experience
Finance

Description For Lead Data Engineer

EQ Bank, Canada's innovative Challenger Bank, is seeking a Lead Data Engineer to spearhead their digital banking data platform initiatives. With over $125 billion in combined assets and serving more than 670,000 Canadians, EQ Bank has been recognized on Forbes World's Best Banks list since 2021.

The role demands a seasoned professional with 7+ years of experience in data engineering, particularly with Microsoft Fabric and Azure technologies. As the Lead Data Engineer, you'll be responsible for designing and maintaining scalable data solutions while providing technical leadership to a team of engineers. The position requires expertise in T-SQL, Python, and Spark programming, along with a deep understanding of data storage architecture and medallion design concepts.

This is an exciting opportunity to join a forward-thinking financial institution that's challenging traditional banking norms. The role offers a comprehensive benefits package including competitive bonus, RRSP matching, health benefits, and professional development opportunities. Working in a hybrid model at their Toronto office, you'll be part of a team that's redefining the future of banking in Canada.

The ideal candidate will combine technical expertise with strong leadership abilities, capable of mentoring team members while driving innovation in data solutions. You'll be responsible for implementing best practices in data engineering, ensuring scalability and governance, and maintaining high standards of data security and privacy compliance.

If you're passionate about data engineering, have a track record of building robust data platforms, and want to contribute to transforming Canadian banking while working with cutting-edge technologies, this role offers an excellent opportunity for career growth and impact.

Last updated 25 days ago

Responsibilities For Lead Data Engineer

  • Design, develop, and maintain scalable data pipelines (batch and real-time) for data ingestion, processing, and integration
  • Develop and maintain data storage solutions in data Lakehouse and Warehouses
  • Implement and maintain API integrations, including REST APIs
  • Lead and mentor a team of data engineers
  • Manage project timelines for data solutions delivery
  • Monitor and optimize system performance
  • Implement data security and privacy measures
  • Troubleshoot and resolve data-related issues

Requirements For Lead Data Engineer

Python
  • Bachelor's degree in Computer Science or Engineering
  • 7+ years of experience as a Data Engineer with Microsoft Fabric & Azure technologies
  • Proficiency in T-SQL, Python and Spark programming
  • Understanding of data storage architecture with lakehouse and data warehouses
  • Experience with structured, semi-structured, and unstructured data
  • Experience with batch and real-time data movement
  • Excellent written and verbal communication skills
  • Excellent multi-tasking and organizational skills

Benefits For Lead Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Education Budget
  • Competitive discretionary bonus
  • Market leading RRSP match program
  • Medical, dental, vision, life, and disability benefits
  • Employee Share Purchase Plan
  • Maternity/Parental top-up
  • Generous vacation policy and personal days
  • Virtual events for colleague connection
  • Annual professional development allowance
  • Comprehensive Career Development program

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