Data Engineering Lead North America

Job Description :

Data Engineering Lead North America

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 approachensuring North Americas 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.

What are we looking for

Bachelors degree in Computer Science Engineering Information Systems or a related technical field (Masters degree is a plus)

Minimum 5-10 years of experience in an applied data engineering role or equivalent preferably within CPG Consumer Products Retail Telecom or Financial Services industries.

Strong expertise in data pipeline development data integration and ETL processes

Proficiency in SQL Python or other data-focused programming languages

Experience with big data technologies such as Apache Spark and distributed data processing

Knowledge of data governance compliance standards and security protocols relevant to US and Canada

Ability to collaborate effectively with global teams and align regional operations with global standards

Proficiency in cloud-based data systems ideally Microsoft Azure and data management tools

Experience with DevOps principles including CI / CD unit testing and Agile methodologies

Proven ability to lead and engage technical teams while balancing business and technical stakeholder needs

Nice-to-have : Experience working in cross-functional global environments

What will be your key 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 and operational excellence

Collaborate closely with Global Data Engineering and Platform teams regional stakeholders and external partners

Champion a one-RC approach to align North Americas data engineering initiatives with global standards

Inspire innovation foster collaboration and drive continuous improvement within your team

Balance technical leadership with strategic influence to solve complex business challenges

Monitor and guide the work of technical resources to maintain high team engagement and delivery quality

What can you expect from Mars

Work with diverse and talented Associates all guided by the Five Principles

Join a purpose-driven company striving to build the world we want tomorrow today

Best-in-class learning and development support from day one including access to our in-house Mars University

An industry competitive salary and benefits package including company bonus

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Key Skills

Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture

Employment Type : Full Time

Experience : years

Vacancy : 1