Head of Data Engineering

Royal Mail delivers more than our competitors put together. Yet we have ambitious plans to grow market share both at home and globally, whilst transforming our UK operation to increase efficiency and profit. Our strategy clearly sets out these plans - data and technology is pivotal to its success. The Head of Data Engineering will work collaboratively with multi-disciplinary teams to contribute to the development and successful execution of Royal Mail's strategic priorities with data and analytics. You will be responsible for driving large scale, high volume, batch, streaming and machine learning applications from design to production on our strategic data platforms. You will be responsible for developing, customising, and managing integration tools, databases, warehouses, and analytical systems to ensure the data platform is robust and trusted source of data across the organisation. You will work within agile Product lead delivery programs solving complex business problems using intelligent design and scalable, robust coding solutions. As Head of Data Engineering you will also drive and mentor data engineering teams to ensure strategic data product outcomes incrementally reduce our data estate's technical debt,

• Line manage, continuously improve, certify and mentor data engineers
• Build a data engineering roadmap that aligns with the company's business and data strategy
• Drive simple, standardised and innovative ways to ingest, process, store, analyse various data sources
• Design, implementation and monitoring of our cloud data platform
• Work with the Data Science team to deploy machine learning user cases to production
• Drive automation in the continuous integration pipelines, infrastructure management and configuration
• Drive partnerships with engineering and product/business teams to deliver on cross-functional value and collaboration
• Deliver automation across our continuous integration pipelines, infrastructure management, testing and configuration
• Lead the design, development, test, optimisation, and deployment of stable data solutions to Google Cloud Platform that are cost-effective
• Liaise daily with Delivery Managers and Product Owners to ensure product developments are kept on track and ensure technical issues are overcome
  
  Strong technical skills, with proficiency in managing data platforms. Proficiency with Data visualisation tools , Python and SQL are advantageous.
• Ability to manage a large and varied workload, to prioritise and multi-task, as well as delegate
• Ability to communicate data-informed opportunities to business stakeholders and non-technical audiences
• Experience of managing enterprise-scale data platform, along with associated products & services
• Influencing investment and leading design on large scale digital products
• Experience of developing on a Cloud environment (Google Cloud) with prior integration of data science and data analytics solutions preferred
• Competence with DevOps, automated testing (TDD and BDD), release management, code control and application cloud deployment