Senior Data Engineer

About Planet Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.   Role Overview:   This is a long-term fixed-term contract designed to support Planet’s AI-first engineering scale-up project. As a Senior Data Engineer, you will play a key role in designing, building, and evolving Planet's modern data platform, with a focus on Fivetran, Snowflake, and dbt. You will be responsible for architecting scalable data pipelines, data models, and trusted data products that power analytics, AI, agentic, predictive, and operational use cases across the organisation. Working closely with Data Engineers, Data Analysts, AI Engineers, and business stakeholders, you will ensure that data is accurate, reliable, secure, and readily available. You will also drive architectural decisions, define engineering standards, mentor other engineers, and contribute to the long-term scalability, reliability, and governance of the data platform.   What You Will Do:    Design, develop, and optimise scalable data pipelines using ELT tools, APIs, databases, and event-based architectures. Lead the integration of new data sources into Snowflake, defining reusable ingestion patterns and engineering standards. Design and implement ETL/ELT processes that support large-scale analytics, AI, and operational workloads. Define and implement ingestion patterns for incremental, CDC, full refresh, and near real-time data processing scenarios. Design and operate reverse ETL pipelines that deliver trusted data products to operational systems, applications, and APIs. Drive continuous improvement of platform reliability, performance, observability, and cost optimisation. Design and maintain scalable data transformation frameworks using dbt. Develop and maintain complex dimensional models, including fact, dimension, snapshot, and semantic data structures. Define modelling standards, naming conventions, and best practices to ensure consistency across the data platform. Implement automated testing, data quality frameworks, lineage tracking, and monitoring solutions. Design and maintain trusted datasets and data products for analytics, AI, self-service, and operational use cases. Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions. Lead troubleshooting and resolution of complex data platform, pipeline, and performance issues. Drive data governance initiatives,…