TL;DR

Team Lead Data Engineering (Data Science/ML): Leading a high-performing data engineering team to design, build, and maintain scalable data pipelines and infrastructure with an accent on data security, governance, and process optimization. Focus on mentoring, delivery management, and driving improvements in software development lifecycle and engineering practices.

Location: Remote - Canada

Company

%hirify_global% is the first AI-driven IR Ops Platform providing investor relations teams with data, insights, and smart workflows to drive premium valuations for public companies.

What you will do

Design, build, and maintain scalable data pipelines and infrastructure.
Lead and mentor the data engineering team, managing performance and technical direction.
Implement process improvements including automation and optimization for scalability.
Collaborate with product owners and cross-functional teams to meet business requirements.
Ensure data security, governance, and compliance across systems and regions.
Drive improvements in software development lifecycle and engineering practices.

Requirements

Location: Must be based in Canada for remote work
Bachelor’s degree or equivalent experience in Computer Engineering or related field.
5+ years data engineering experience including 3+ years in senior roles.
Strong SQL, AWS, big-data technologies, and experience building ETL/ELT pipelines.
Proven leadership experience with coaching, mentoring, and Agile delivery management.
Excellent communication and organizational skills.

Nice to have

Understanding of financial services industry and global capital markets.

Culture & Benefits

Flexible benefit plans including wellness and parental leave top-up.
Flexible paid time off and 30-day work-from-anywhere program.
Learning allowance, mentorship, and leadership forums.
Supportive and inclusive culture valuing diverse perspectives.

Hiring process

Use of AI tools to support recruitment with final decisions made by humans.
Encouragement to apply authentically and avoid relying solely on AI-generated responses.