Lead Data Engineer, Aviva
AI / ML
£60-70k
Salary Circa £60,000 national/ Circa £70,000 London. Plus bonus
Insurance, wealth and retirement business
Open for applications
Insurance, wealth and retirement business
1001+ employees
Open for applications
£60-70k
Salary Circa £60,000 national/ Circa £70,000 London. Plus bonus
1001+ employees
Company mission
With you today, for a better tomorrow. Aviva exist to be with people when it really matters, throughout their lives.
Role
Who you are
- We are looking for a talented and experienced Lead Data Engineer with a strong focus on data insights and MLOps to join our innovative team
- This role requires a deep understanding of data engineering, analytics, MLOps, and a passion for transforming data into valuable business insights
- Strong analytical and problem-solving abilities, with a deep understanding of data modelling, ETL processes, data warehousing, and machine learning lifecycle management
- Excellent in writing clean, maintainable, and robust code in Python, Spark, SQL-like languages
- Worked with Snowflake ideally or another cloud platform extensively
- Partnering closely with our data engineering colleagues to improve ETL and data pipelines
What the job involves
- The successful candidate will be responsible for designing and implementing data solutions that drive actionable insights and support machine learning operations (MLOps), enabling data-driven decision-making across the General Insurance Commercial lines business
- Data Insights Leadership: Lead the development and implementation of data engineering solutions that support advanced analytics, business intelligence, and machine learning initiatives
- Use industry best practice to ensure fast, simple, and reliable ML pipelines
- We are migrating to Snowflake and upskilling a new AI/ML team, you will be an integral part of the decision-making process in adopting the new platform
- MLOps Implementation: Design, build, and maintain scalable robust data pipelines and infrastructure to support the deployment, monitoring, and management of machine learning models. (e.g. feature flows, scoring, integration, and model monitoring)
- Data Pipeline Optimisation: Ensure the efficient collection, processing, and storage of large datasets, optimising data pipelines for performance and reliability
- Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver insights that drive strategic decisions
- Data Quality and Governance: Implement best practices for data quality, governance, and security to ensure the reliability and integrity of data insights and machine learning models
- Team Mentorship: Guide and mentor, a team of data engineers, fostering a culture of continuous learning and innovation
Salary benchmarks
Our take
With 18 million international customers, Aviva is the largest provider of insurance and leading life and pension funds in the UK. With a history that dates back to the founding of Hand in Hand Fire & Life Insurance Society in 1696, Aviva’s current form is thanks to a merger between Norwich Union and CGU plc in the year 2000.
Over the noughties, Aviva grew its market out to Europe and established a high-profile foothold in America thanks to the most expensive advertising campaign of the time that included celebrities Alice Cooper and Bruce Willis. Into the 2010s, the insurance broker was forced to restructure and close a large number of its non-core businesses in a bid to increase its shareholder returns and streamline its focus. In 2012 it sold its US wing to Athene Holding to further this goal.
Now stripped back after sell-offs of subsidiaries in Indonesia, Italy, and many more countries, Aviva is refocusing on pensions. In the wake of a Pensions Dashboard Programme delay in the UK, Aviva is in the running to take over the programme thanks to its pre-existing private systems. This exemplifies Aviva’s renewed focus on the fintech sector, all whilst playing national analyst during the cost of living crisis thanks to its annual Age of Ambiguity study.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company values
- Care
- Commitment
- Community
- Confidence
Company HQ
City of London, London, UK
Articles
Leadership
Amanda Blanc
(CEO, not founder)Currently Group Board Non-Executive Director at BP. Previously Chairman of the Welsh Rugby Union, Senior Advisor at Trov, CEO at Zurich Insurance Company.
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