Data Engineering Lead, North America: Build Global Pipelines

Wm. Wrigley Jr.; Guelph; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading global company is looking for a Data Engineering Lead to drive data initiatives across North America. This role involves leading a skilled team, collaborating globally, and optimizing data solutions to enhance business performance. Ideal candidates will have extensive experience in data engineering, expertise in SQL and Python, and strong leadership skills. The position offers a competitive salary and benefits package. A degree in Computer Science and experience with data governance are preferred.

Benefits

Competitive salary

Company bonus

Best-in-class learning support

Qualifications

• Minimum 5-10 years of experience in an applied data engineering role, preferably within CPG or Retail.
• Strong expertise in data pipeline development and data integration.
• Proficiency in SQL, Python, or other data-focused programming languages.

Responsibilities

• Lead the design, development, and optimization of data pipelines and platforms across North America.
• Ensure data integrity, security, and high performance to empower business insights.
• Collaborate with Global Data Engineering and external partners.

Skills

Data pipeline development

Data integration

ETL processes

Programming in SQL

Python

Apache Spark

Data governance

Cloud data systems

DevOps principles

Agile methodologies

Education

Bachelor’s degree in Computer Science

Master’s degree in relevant field

Tools

Microsoft Azure

Job description

A leading global company is looking for a Data Engineering Lead to drive data initiatives across North America. This role involves leading a skilled team, collaborating globally, and optimizing data solutions to enhance business performance. Ideal candidates will have extensive experience in data engineering, expertise in SQL and Python, and strong leadership skills. The position offers a competitive salary and benefits package. A degree in Computer Science and experience with data governance are preferred.