.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 are 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 OverviewReporting to the MAS Team Lead you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for our payment's backend solution. Our payments backend ensures funds are delivered on time to merchants creating a seamless payment experience to the consumer. It is a mission critical system that must reliably process millions of transactions within short time boundaries. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.What you will doCreate and maintain optimal data pipeline architecture.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.Who you areAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Experience building and optimizing 'big data' data pipelines, architectures and data sets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management