The International Pricing & Analytics Team
Pricing and risk analysis, core functions in finance and insurance, have always been among Admiral’s key strengths. As these industries are rapidly evolving in the context of disruptive technologies and new business models, we keep looking for innovative ways to stay ahead of the curve!
The International Pricing & Analytics Team are 20+ people based in Cardiff (UK), who provide strategic advice and support to all countries in the Admiral Group. We evaluate hundreds of variables from internal and external data sources to tailor the price of our products for each of our customers. Our Analytics function leverages new machine learning techniques to augment our traditional Pricing expertise. We travel to our overseas operations in Spain, Italy, France, and the USA to help launch new products, implement the latest technologies, and research new data sources.
About the Role
As a Data Engineer, you will be responsible for the acquisition of data from multiple sources to feed Machine Learning (ML) models deployed in the cloud. Your expertise will be key to advance and automate this main area of the ML lifecycle. You will have the chance to define our best practices for data engineering, as well as choose and implement the latest tools, technologies, and approaches.
You will have the opportunity to work with diverse stakeholders at different levels of the organisation such as data warehouse managers, cloud engineers, data scientists, pricing experts and senior business managers, both in the UK and abroad. Depending on project needs, you might need to travel occasionally to our international businesses.
Build, operate, automate, and monitor data processing systems
Define data engineering best practices and advise other divisions on them
Research new ideas and stay up to date with industry developments
Make recommendations on how to improve existing architectures and processes
Communicate results to key decision-makers across geographies
Essential Skills and Experience
Work experience building data acquisition pipelines
Hands-on experience using cloud data tools (e.g. Redshift, S3, Data Pipeline)
Experience using data warehouse tools such as Teradata and BigQuery
Ability to code/script in a language such as SQL or Python
Understanding of version control systems such as Git
Nice to Have
Experience using dataflow/stream processing tools such as Apache NiFi and Kafka
Knowledge of Linux and comfortable using the command line
Experience using data manipulation libraries such as Pandas
Knowledge of RDBMS such as Postgres and Oracle
AWS Big Data and/or Machine Learning certifications
Admiral Group Plc is Wales’ only FTSE100 company and has a market capitalisation of £6bn+. Our Insurance and Price Comparison operations span 8 countries, including the UK, Spain, Italy, France and the USA. We have 16 brands, over 5 million customers and more than 10,000 members of staff around the globe, and we are consistently voted among the best workplaces in the UK and worldwide.
We have forward-thinking approaches and provide endless opportunities to test, learn and grow. There is a reason we have been named a Best Place to Work: our progressive culture, core values, and commitment to diversity and inclusion have created a working environment where people share ideas, are not afraid to speak up and change things, and above all, feel valued.
Admiral people work hard to keep us at the top of our industry, and are rewarded for it - with competitive pay, great benefits, a share package based on company performance (after a year of service), a great work-life balance, nearby fitness and health centres, and many other perks.
At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we're voted as one of the Sunday Times Best Big Companies to Work For in the UK. We want you to have an element of freedom to define a working lifestyle that supports this, so accommodate flexible hours wherever possible.
If you would like to be considered for this opportunity, please click “apply now” to complete an online application form. Please note, we are unable to accept CVs via email.