Senior Data Engineer

The role

You will design and scale data architecture and pipelines at the intersection of Analytics Engineering, Product, and ML teams. You will build ingestion and ELT pipelines to turn raw healthcare communication data into reliable datasets.

What you will do

• Design and scale a robust data architecture for event-driven communication flows
• Build and own ingestion and ELT pipelines end-to-end using Python and SQL
• Make and own architectural decisions for analytics, experimentation and machine learning
• Partner with Analytics Engineering, Product and ML teams
• Set and uphold standards for data integrity, security and reliability
• Lay data foundations for AI and ML work to move models into production
• Take on greenfield problems to shape how data works
• Mentor teammates and contribute to engineering culture through code reviews and sprint planning

Required qualifications

• Proven experience as a Data Engineer designing and building ingestion and ETL/ELT pipelines from scratch using Python and SQL in production environments
• Deep understanding of modern cloud data platforms such as Snowflake, BigQuery or Redshift
• Experience with transformation tools like dbt
• Comfortable owning decisions around data architecture
• Experience working with cloud environments and software engineering best practices like Git and CI/CD

Nice to have

• Experience, or a strong interest, in building and operationalising machine learning models
• Actively leverage AI tools to automate routine tasks

Benefits

• Discretionary recognition bonus
• £30,000 in equal share options
• Adjustable healthcare cover, pension or life insurance
• Dog-friendly office
• Regular hackathons
• Dedicated time to visit GP practices and healthcare settings
• 28 days of holiday plus bank holidays
• Up to 4 weeks to work from anywhere per year
• Enhanced parental leave
• Fertility support
• Parental loss support
• Free healthy breakfasts, snacks, lunches and a weekly sweet treat

About the company

Accurx is a mission-driven team of 80 engineers building a system-wide platform to connect people through healthcare communication. Their platform is used by 98% of GP practices to manage patient demand and communication.