About the job
Senior Data Engineer
About Us
At Plusgrade, we believe that travel is not just about reaching a destination, but about enjoying the experiences created along the way. We partner with over 200 airlines, hospitality companies, cruise lines, railways, and financial services to transform everyday journeys into extraordinary experiences. Driven by our values of ambition, innovation, and collaboration, we constantly push boundaries and believe that we achieve more together. Join us in shaping the future of travel by unlocking the potential of data.
Role Overview
We are seeking a Senior Data Engineer to play a pivotal role in the evolution of our data platform. As part of our Data Engineering team, you will design and implement scalable, reliable, and high-performance data pipelines and platforms that support analytics, AI/ML, and customer-focused applications. In this role, you will serve as a technical leader, mentoring mid-level engineers, guiding solution design, and ensuring adherence to best practices. You will collaborate closely with a Staff Engineer and a Data Architect, participating in architectural decision-making while managing complex implementations and deliveries.
Your Responsibilities
Lead the design, development, and implementation of scalable, resilient, and cost-effective data pipelines for batch and streaming systems.
Collaborate with Staff Engineers and Data Architects to translate the overall architecture into concrete technical solutions.
Promote best practices in data modeling, pipeline design, code quality, and testing.
Establish and enhance automated monitoring, alerting, and data quality frameworks for critical pipelines.
Take ownership of complex, high-impact data engineering projects from conception to deployment and monitoring.
Guide the team in designing event-driven, real-time, and microservices-oriented data flows.
Optimize existing data infrastructure for performance, scalability, and cost-effectiveness in the cloud.
Mentor and coach mid-level engineers, conduct reviews, and provide feedback to strengthen team capabilities.
Collaborate with analysts, data scientists, and product teams to co-design data products that fuel advanced analytics and ML models.
Contribute to the evolution of data governance, ensuring compliance and best practices.

