.Senior Data Engineering Manager About Us: The payments market is the most exciting technology market in the world today for good reason. McKinsey values it globally at over $2 trillion and it's growing between 13-15% year-on-year. Some of the largest most dynamic brands are investing in this sector; Apple has ApplePay, Google has GooglePay, Amazon has AmazonPay, and it's not just the Silicon Valley brands. Tencent owns WeChatPay, Alibaba owns Alipay and digital disruptors like Square, Stripe and Adyen all invest millions to grow the payments market. Planet is a technology company that's transforming payments by putting the customer experience first. We help our customers deliver a better experience for guests, shoppers, and consumers everywhere. We operate in a market that continues to evolve and expand, partnering with the world's most prestigious brands across Retail and Hospitality, and with a network of Financial Services partners worldwide. To meet consumer demands, payments must be simple, safe, and invisible. The only way to do this is to fully embed payments in the software that runs business. By combining software and payment technology, Planet's creating a world of connected commerce, that makes payments feel good. We're growing organically, and with strong Private Equity investors, Advent International and Eurazeo, we've the financial capital and expertise to grow our capabilities and reach through acquisition. Role Purpose The Senior Data Engineering Manager will lead and oversee the data engineering function, ensuring the successful design, implementation, and optimisation of the organisation's data architecture. This individual will manage a team of data engineers (including those using Snowflake, dbt, and Fivetran) and collaborate closely with cross-functional teams, including analytics, data science, IT, and business stakeholders, to deliver scalable, high-performing, and secure data infrastructure. This senior role requires a visionary leader with deep technical expertise and a strategic mindset who can drive data engineering initiatives that align with broader business goals. What you will do: Leadership & Strategy Team Leadership : Lead, mentor, and manage a team of data engineers, providing guidance on best practices, career development, and performance management. Foster a culture of collaboration, continuous learning, and innovation within the data engineering team. Data Strategy Develop and execute a strategic roadmap for the data engineering function, aligning it with organisational objectives and long-term goals. Ensure the team's data engineering efforts support business objectives such as improved decision-making, innovation, and scalability. Stakeholder Management Serve as the main point of contact for senior leadership, providing regular updates on data engineering initiatives and performance. Collaborate with business leaders and other stakeholders to identify data requirements and priorities