Data engineer for healthcare communication

Описание

Accurx is where conversations happen with and about patients. For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication. What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices.

Задачи

You will design and scale a robust data architecture that handles massive event-driven communication flows across nearly every GP practice in the UK. You will build and own ingestion and ELT pipelines end-to-end, from source systems through to our Snowflake data warehouse, using Python and SQL in production. You will make and own architectural decisions that support analytics, experimentation and machine learning at scale. You will partner closely with Analytics Engineering, Product and ML teams to turn raw healthcare communication data into reliable, high-performance datasets they can build on. You will set and uphold standards for data integrity, security and reliability, in an environment where getting data right is part of keeping patients safe. You will lay the data foundations for our AI and ML work, helping take models from experimentation into production. You will take on greenfield problems, shaping how data works at Accurx from the ground up. You will mentor teammates and contribute to a strong engineering culture through rigorous code reviews, sprint planning and open collaboration.

Требования

You have strong, proven experience as a Data Engineer, designing and building ingestion and ETL/ELT pipelines from scratch using Python and SQL in production environments. You have a deep understanding of modern cloud data platforms such as Snowflake, BigQuery or Redshift, and transformation tools like dbt, with a focus on creating clean, reliable and reusable datasets. You are comfortable owning decisions around data architecture, and working with cloud environments and software engineering best practices like Git and CI/CD. You have experience, or a strong interest, in building and operationalising machine learning models, and understand how strong data foundations enable better AI outcomes. You think beyond pipelines. You care about how data drives real-world outcomes, especially in healthcare, and can work cross-functionally to shape problems and deliver solutions. You actively leverage AI tools to automate routine tasks and continuously explore ways to integrate AI into your workflows, improving quality and speed.

Условия

You’ll join a high-performing team on a mission to solve healthcare productivity, building a platform used by around 300k NHS staff every week, supporting the care of over 50 million NHS patients every year. We set a high bar, move fast, and give people the ownership and support to do the best work of their careers.

• £85,000 - £105,000 base salary, plus a discretionary recognition bonus for exceptional performance and impact, nominated by managers and awarded by our leadership team
• Equity: £30,000 in equal share options, so you share in the value you help create
• Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life
• Built for collaboration: We are an office-first culture and ask that you’re in our (dog-friendly) Shoreditch office for a minimum of 3 days a week
• Close to our users: Regular hackathons, plus dedicated time to visit GP practices and other healthcare settings to see first-hand how our products are used
• Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year
• Support at home: We offer enhanced parental leave, fertility support and parental loss support
• We have our very own chefs: Free healthy breakfasts, snacks and lunches, plus a weekly sweet treat

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