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Senior Data Engineer Flexible working Halifax/Reading/West Malling/Remote

Job LocationHalifax
EducationNot Mentioned
Salary£45,000 - £55,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

We are an agile team of tech experts, game-changers and creative-thinkers, changing the future of insurance forever and making a real difference in people’s lives. We are using human-centred technology to make insurance more personal, relevant and predictive to the way that people live today. We are setting the pace of change for our industry, and we do this by always asking what’s next, by never being satisfied with the status quo, and by breaking barriers together.We start with people first, bringing together data, the latest technology, the most innovative processes and the brightest brains to create ground-breaking ideas that will have the biggest impact on people’s lives. We build, test, learn, pivot and fail fast to bring the best ideas to life. And when we’ve got a great idea, we will throw everything we’ve got at to make it a success.Unlike other insurance companies who step in only when things go wrong, we are developing technologies that will help our customers stop the worst from happening by integrating seamlessly into the lives of their consumers.What would you be responsible for in this role

  • Work within a multi-disciplinary engineering team to develop and implement products by applying knowledge of design principles, procedures and practices
  • Collecting data and optimising data flows to their full potential, working in a cross-functional team as well as with the wider business to fulfil their data needs
  • Working with Platform Engineers and Testers to deliver your data solutions all the way into production
  • Demonstrating a DevOps mindset with operational considerations always at the forefront of your thinking
  • Highlighting non-functional considerations throughout implementation
  • Ensuring testability, observability and documentation are part of everything that you do to make the systems you build easy to support
  • Responsible for line management of other engineers / automation testers within the Squad, as needed
  • Maintains high levels of motivation of the development team members in the Squad, ensuring priorities are clear and support team productivity, in keeping with our values.
  • Create and maintain a collaborative environment which is mindful of agile practices
  • Coordinate with the Lead Engineering to align technology across Squads, deputising their role to cover absence
  • Apply extensive knowledge of design principles & patterns, procedures and practices
  • Contribute to architecture, design, coding, quality and security reviews of data pipelines, data related microservices, and data processing systems
  • Contributes to the relevant scrum events; sprint planning / user story estimation, daily stand-ups, sprint reviews / demos and retrospectives
  • Develop and manage technical documentation to agreed standards
  • Take ownership to overcome technical problems and live incidents
  • Investigate and develop prototypes and proof of concepts using new technical developments relevant to component area of expertise
  • Coach the team to follow excellent data practices and quality standards and provide training and mentoring to the Squad
  • Invests in learning about the wider business, developing their knowledge of insurance as a business domain
  • Continue to develop your own skills and an awareness of new tools, processes and technical developments relevant to your areas of expertise
  • What would we like to see in you
  • Strong experience of data management, governance and security principles
  • Experienced Data Engineer who appreciates the benefits of streaming over batch processing
  • Experienced with using Python, SQL, Kafka, Avro, Schema Registry and Kafka Connect
  • DevOps mentality of building and operating solutions with observability, including monitoring and logging, in mind
  • AWS cloud exposure including compute, storage, account permissions, networking etc.
  • Experience with Git, CI and CD
  • Experienced with Agile methodologies including Scrum and Kanban
  • Exposure to streaming event-driven applications and microservices
  • Experience with using containers with Kubernetes/Docker/Rancher
  • Exposure to Data Lake and Warehouse concepts
  • Required skills
  • Python
  • Kafka
  • Keyskills :
    Kafka

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