Job Description Do you have what it takes to turn raw data into actionable insights and drive innovation? As a team, we transform our client’s businesses using a combination of strategic thinking, customer-centric service design, and agile engineering practices. We do this at internet scale – driving innovation, and enriching people’s lives. Our skills and talent enable PA’s purpose of creating positive a human future in a technology driven world. As part of our Digital team, you’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges. Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner. You'll have: Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Perform tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Work closely with other engineering teams to integrate data engineering component into production systems. Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies.