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Hastings Direct

Underwrites car, home, and vehicle insurance

Data & AI Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience working with Snowflake, including SQL development, data modelling, orchestration, and integration management.
  • Experience with Azure services, including Azure Data Factory, Azure DevOps, Azure Functions, and Logic Apps.
  • Proficiency in Python for data processing, automation, and solution development.
  • Understanding of cloud-based data platforms and modern data architecture principles.
  • Exposure to AI, machine learning, or generative AI technologies and their practical application within business environments.
  • Experience working within Agile delivery frameworks such as Scrum or Kanban.
  • Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies.

Responsibilities

  • Design, build, and support scalable data and AI solutions that enable analytics, automation, and AI-driven business outcomes.
  • Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads.
  • Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards.
  • Collaborate with stakeholders and technical teams to promote best practices in SQL, Python, data modelling, and AI development.
  • Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions.
  • Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices.

About the Company

Hastings Direct

Underwrites car, home, and vehicle insurance

Hastings Direct provides general insurance in the UK, mainly car insurance, and also offers policies for vans, bikes, and homes. It sells directly to customers and through multiple channels, including price comparison websites and its own site (hastingsdirect.com) as well as a contact centre, to reach a wide audience. The productworks by underwriting policies and pricing risk using data analytics, while handling claims and offering ancillary products to generate revenue. The company differentiates itself with a direct-to-consumer, multi-channel distribution approach that blends online, comparison sites, and support channels, alongside data-driven pricing and underwriting. Its goal is to grow its share of the UK general insurance market by efficiently pricing risk, effectively managing claims, and maintaining a competitive expense ratio.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Bexhill-on-Sea, United Kingdom
Founded
1997

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