обновлено 3 дня назад
Senior Data Engineer (AWS)
70 000 - 85 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AWS): Building and supporting scalable cloud data products, pipelines, and machine learning infrastructure for insurance analytics with an accent on Databricks or Snowflake, Python, Spark, Airflow, and advanced SQL. Focus on integrating diverse datasets, designing batch and real-time data solutions, optimizing orchestration and performance, and supporting ML and GenAI workflows.
Location: Eastleigh and Reigate, UK; flexible working is available within the UK, with part-time and job-share options.
Salary: £70,000–£85,000 per year
Company
is a major UK car and home insurer serving more than four million customers.
What you will do
- Build and support data products on a modern data platform.
- Design and deliver data solutions with engineers, scientists, architects, and product teams.
- Develop, optimize, monitor, and maintain batch and real-time data pipelines.
- Integrate, cleanse, and structure large and diverse datasets while maintaining strong quality standards.
- Support ML and GenAI infrastructure, workflows, and data product designs.
- Improve engineering and data practice standards across collaborative agile squads.
Requirements
- Strong experience with Databricks or Snowflake on AWS.
- Proven Python, Spark, Airflow, and advanced SQL skills.
- End-to-end data modelling and experience building batch and real-time integrations.
- Hands-on CI/CD experience with Git, Jenkins, or similar tools.
- Knowledge of Terraform or similar infrastructure-as-code tools.
- Ability to work within the UK location framework.
Nice to have
- Experience with Docker and Kubernetes.
- Exposure to production Generative AI.
Culture & Benefits
- Flexible working within the UK, including home working for many roles.
- Minimum of 35 days of holiday, including bank holidays, with the option to buy and sell days.
- Health, dental, wellbeing, mental health, and critical illness support.
- Bonus schemes, salary reviews, pension, savings, loans, and insurance benefits.
- Family leave, return-to-work support, and inclusive workplace programmes.
- Technology discounts, cycle scheme, and vehicle breakdown cover.
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