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Aviva is seeking an experienced Data Engineer to help shape the future of Commercial Insurance through data, analytics and AI. You’ll design, build and optimise data pipelines on a strategic cloud platform, delivering trusted data for underwriting, pricing, claims and analytics.
You will work with Snowflake, DBT, Airflow and AWS, collaborating with a wide range of business and technical stakeholders to unlock new opportunities through data.
Loves turning complex data into trusted, high-quality insights and wants to help shape the future of Commercial Insurance through data, analytics and AI.
This role would suit an experienced Data Engineer with strong SQL and Python skills who enjoys building scalable data solutions, working with modern cloud technologies, and collaborating with a wide range of business and technical stakeholders.
Join Aviva's UK General Insurance Commercial Data Engineering team and help build the data products that support underwriting, pricing, claims, analytics and data science.
Working on our strategic cloud data platform, you'll design, build and optimise data pipelines and data products that deliver trusted, reliable data across the business.
You'll work with technologies including Snowflake, DBT and AWS while collaborating with engineers, analysts, architects and business stakeholders to solve complex challenges.
From developing new data products to improving automation, performance and data quality, you'll play an important role in helping teams make better decisions and unlock new opportunities through data
Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.
Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be.
We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.
We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.