Senior AWS Data Engineer

Job Description

Senior AWS Data EngineerLondon, Hybrid WorkingFull-Time, PermanentSponsorship - *Not Available*Up to £100,000We recognise the importance of flexibility, not only in our personal lives but also in the way we work. Our mixed model way of working offers a best of both worlds approach combining the best parts of home and office-working, offering flexibility for everyone.Weve ditched the daily commute for a virtual first approach. If you do come into the office, there are exciting workspaces and zones you can use, depending on the type of work you are doingWhat were looking for:We are going through an exciting transformation to be the top tier data driven business in the UKs general insurance market.To achieve this, we are growing our Data Enabling Tribe which working closely with the business to build a new cloud hosted, secure, and consolidated data and analytics platform to enable our users to interact with all their data from a single trusted platform.The platform uses the economics of big data, cloud elasticity, Machine Learning (ML)/Artificial Intelligence (AI) automation and permissioned data sharing to turn information into business insights and address business and operational challenges.Our Data/Platform engineers are accountable for the development and operations of the Data Platform to drive maximum value from data for business users and in line with the best industry practices.In terms of Tech Stack, there are many technologies that make us tick, some of which include; AWS, Informatica/ETL Frameworks, Jenkins/Bamboo/AWS Code, Ansible/Puppet/Chef, CloudFormation/Terraform, Python, Java, Scala, AWS Cloud Storage, Jira, Confluence, Tableau and many more.Who youll be working with:You will work as part of a multi-functional agile delivery team, including analysts, architects, platform engineers, machine learning engineers, and testers. You will have the opportunity to work on sophisticated problems, implementing high performance solutionsthat will run on top of our cloud based big data platformWhat youll be doing:Work as part of the Data Engineering team to uphold and evolve common standards and collaborate to ensure that our data solutions are complimentary and not duplicative.Build and maintain robust automated pipelines to support data solutions across BI and analytics use cases.Collaborate with other technology teams to ingest, transform and load data from multiple data sources, structured and un-structured data.Work closely with data scientists and data analysts to implement and productionize data models.Build patterns, common ways of working, and standardised data pipelines to ensure consistency across the organisation.What well give you:Come join us and youll find yourself in the middle of one of the fastest changing teams in the business, with autonomy and exposure to industry leaders on huge household brand names. Were always encouraging internal development and youll have access toloads of learning opportunities, events and conferences to build your industry knowledge.McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.