Staff Data Engineer
Job Description
Role - Staff Data Engineer
Length - 6 month contract (extension potential)
Location - Downtown Toronto (1 day onsite)
Your New Company
Join a forward-thinking organization that leverages data to drive innovation and deliver exceptional business outcomes. You'll be part of a team that values technical excellence, collaboration, and strategic influence in shaping enterprise data solutions.
Your New Role
As a Staff Data Engineer, you will lead the design and development of scalable data platforms and BI solutions that enable advanced analytics and decision-making. This is a senior-level role that combines Data Engineering and Business Intelligence expertise, requiring you to architect data solutions, implement governance frameworks, and build custom engineering pipelines. You'll work closely with stakeholders across the business, influencing strategy and ensuring data quality, security, and accessibility.
- Architect and implement data lakes and data lakehouse solutions.
- Build custom data engineering pipelines using Python, Java, and SQL.
- Design and optimize BI frameworks for data governance, cataloging, quality, security/privacy, and data modeling/curation.
- Develop dashboards and reporting solutions using Looker and other BI tools.
- Manage data flow and processing using Scala and distributed systems.
- Collaborate with stakeholders to translate business needs into technical solutions.
- Drive best practices for data architecture and engineering across the organization.
What You'll Need to Succeed
- 10+ years of experience in Data Engineering and Business Intelligence roles.
- Proven ability to lead and influence as a senior data leader.
- Strong experience with data lakes, data lakehouse, and enterprise-scale data architecture.
- Hands-on expertise in Python, Java, and SQL for building custom solutions.
- Experience with GCP or any major cloud platform; proficiency in BigQuery.
- BI stack knowledge: data catalog, data quality, security/privacy, data modeling/curation.
- Familiarity with Looker, Scala-based data flow, and advanced BI frameworks.
- Excellent communication and stakeholder management skills; ability to explain technical concepts in business terms.
- Strong analytical and strategic thinking skills; tech-savvy and up to date with trends.
What You'll Get in Return
- Opportunity to lead enterprise-level data initiatives and shape the future of data strategy.
- A collaborative, innovative environment focused on professional growth.
- Competitive compensation, benefits, and career development opportunities.
What You Need to Do Now
If you're ready to take on a senior leadership role that bridges data engineering and BI, apply today and help build the next generation of data-driven solutions.
How to Apply
Ready to start your career as a Staff Data Engineer at Hays?
- Click the "Apply Now" button below.
- Review the safety warning in the modal.
- You will be redirected to the employer's official portal to complete your application.
- Ensure your resume and cover letter are tailored to the job description using our AI tools.
Frequently Asked Questions
Who is hiring?▼
This role is with Hays in Toronto.
Is this a remote position?▼
This appears to be an on-site role in Toronto.
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What skills are needed?▼
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