Summary

As a Senior Data Engineer on our Data Platform team, you’ll be a key contributor to the evolution of our platform. You’ll work across a broad range of technical challenges — from data-intensive streaming systems, orchestration, data governance, machine learning enablement and platform scalability — ensuring our data foundations are reliable, performant, and ready for future growth.

Day-to-day, you will:

· Lead the design and delivery of complex data engineering projects, partnering with stakeholders to take initiatives from concept to successful implementation.

· Design and develop core components of our data platform, including building and scaling real-time data pipelines for event delivery and enabling machine learning.

· Embed best practices and governance into the Data Platform, enabling other teams to build confidently and consistently on robust foundations.

· Develop orchestration and automation capabilities to streamline data workflows and improve platform efficiency.

· Own the estimation, planning, and execution of complex projects, including new feature development and major service upgrades.

· Write well-tested, high-quality, and performant code for real-time data processing, automation, and infrastructure management.

· Mentor engineers on the team, elevating their skills and promoting best practices in data engineering through guidance and code reviews.

🧑‍🚀 About You

You’re a skilled and experienced engineer with a passion for building robust, scalable, and impactful data solutions. You thrive in a collaborative environment and are driven to deliver high-quality systems while helping your teammates grow and succeed.

We’re looking for someone who brings:

· Proven experience designing and implementing real-time, event-driven data systems, using technologies such as Kafka, Pub/Sub, Spark, or Beam.

· Experience building platform capabilities that other engineers and teams can leverage to move faster and more efficiently.

· Proficiency with Infrastructure as Code (IaC) (e.g., Terraform) for managing complex, production-grade data infrastructure.

· Familiarity with batch pipelines, orchestration frameworks, data warehousing, and governance, and the ability to apply these effectively in large-scale environments.

· A team-first mindset, with a passion for mentoring others, sharing knowledge, and fostering a culture of excellence.

· Strong collaboration skills, working effectively with cross-functional partners including Product Managers, Backend Engineers, and Machine Learning Engineers.

Skills

• Communications Skills
• Development
• Leadership
• Software Engineering
• Team Collaboration