Lead Data Engineer - Real-Time Pipelines on Azure

Nestle SA; St. Louis (MO); On-site; USD 138,000 - 188,000; Full time

Benefits offered by this job

401k with company match

Healthcare coverage

Other benefits

Job summary

Nestlé Purina is seeking a Lead Data Engineer to act as technical lead for a data product team, building resilient pipelines and integrating into the enterprise data model. You will drive engineering best practices, mentor peers, and collaborate with stakeholders to craft long-term data roadmaps.

Operate in a fast-paced, data-driven culture focused on real-time insights, enterprise-scale data platforms, and end-user data products across the Pet Care domain.

Qualifications

• Bachelor’s degree required
• 7+ years of professional experience with 5+ years in practical data engineering
• 4+ years of experience in Azure ecosystem
• 4+ years of experience with Databricks and Python/PySpark

Responsibilities

• Serve as the technical lead for a data product team focused on a specific data domain
• Develop, test, deploy, and maintain data pipelines to move, transform, and harmonize source data into data products ready for consumption by end users
• Ensure adherence to Purina’s data engineering and architectural standards
• Monitor performance of data pipelines
• Champion adoption of best practices within the data engineering guild
• Coach and mentor other data engineers
• Collaborate with other engineers and architects to mature the data enterprise data platform
• Collaborate with product owners and business stakeholders to develop long-term data product roadmaps
• Collaborate with stakeholders and data product team to define data product requirements

Skills

Data engineering

Mentoring

Team leadership

Education

Bachelor’s degree

Tools

Azure

Databricks

Python/PySpark

Job description

Nestlé Purina is seeking a Lead Data Engineer to act as technical lead for a data product team, building resilient pipelines and integrating into the enterprise data model. You will drive engineering best practices, mentor peers, and collaborate with stakeholders to craft long-term data roadmaps.

Operate in a fast-paced, data-driven culture focused on real-time insights, enterprise-scale data platforms, and end-user data products across the Pet Care domain.