Mars Food US, LLC
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A leading global food company is seeking a Data Engineering Lead in Guelph, Ontario, to oversee North America data initiatives. The role involves leading data pipeline design, ensuring data integrity, and collaborating globally. Ideal candidates should have 5-10 years of experience in data engineering, with proficiency in SQL, Python, and big data technologies. This position offers a competitive salary and benefits, along with opportunities for professional growth within a vibrant, purpose-driven organization.
At Mars, data is at the heart of our decision-making and innovation. We are seeking a dynamic and experienced Data Engineering Lead to spearhead our North America data initiatives for Royal Canin (RC). This is an exciting opportunity to lead a talented team, collaborate globally, and drive impactful data solutions that power our business success across the US and Canada.
As the Data Engineering Lead for North America, you will play a pivotal role at the forefront of Mars’ data transformation journey. Reporting to the Head of Platform and Engineering, you will guide the design, delivery, and optimization of cutting‑edge data pipelines and platforms, ensuring data integrity, security, and high performance that empower business insights and operational excellence in the region. You will work within a vibrant, cross‑functional environment that bridges global innovation with local execution, collaborating closely with the Global Data Engineering and Platform teams, regional stakeholders, and external partners to champion a “one‑RC” approach—ensuring North America’s data engineering initiatives not only meet but shape global standards and best practices.
This role offers a unique blend of hands‑on technical leadership and strategic influence. You will inspire innovation, foster collaboration, and drive continuous improvement within your team, making a tangible impact on how Mars leverages data to unlock growth and competitive advantage. If you thrive in a fast‑paced, evolving landscape and are passionate about harnessing data to solve complex business challenges, this is the role for you.
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