Data Engineering Lead responsible for data pipeline design and optimization at Mars. Leading a talented team to drive impactful data solutions across North America.
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 America’s 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
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field (Master’s 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
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.