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# Data & AI Engineer

- **Company:** Hastings Insurance Services Limited
- **Location:** Bexhill, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, Database Development, Python (Programming Language), Machine Learning, Scrum Methodology, Software Tools, SQL Databases, Data Processing, Cloud Platform System, Microsoft Power Automate, Azure Data Factory, Snowflake, Generative AI, Data Management, Machine Learning Operations, Data Pipelines, Serverless Computing
- **Published:** July 31, 2026
- **Apply:** https://hastingsdirect.wd3.myworkdayjobs.com/external_careers/job/Bexhill/Data---AI-Engineer_60013761-1

## About the Role

* 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.
 * Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions.
 * Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies.
 * Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.

## Description

* As a Data & AI Engineer you will 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.


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