Senior Data Engineer

Accurx; Greater London; On-site; GBP 85,000 - 105,000; Full time

Benefits offered by this job

Base salary £85,000–£105,000

Equity £30,000 in stock options

Pension & life insurance

Office in Shoreditch, dog-friendly

Hackathons & visits to GP practices

28 days holiday + bank holidays + 4週間

Job summary

Accurx, based in London, is transforming NHS communications with a national healthcare platform used by thousands of GP practices. We are a mission-driven team of engineers building a scalable data platform that powers analytics, ML, and AI-enabled tools across healthcare settings.

You will join a cross-functional team designing data pipelines and data architecture to support real-time and batched analytics for millions of patient interactions, while mentoring teammates and contributing to a

Qualifications

• Strong, 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 (Snowflake, BigQuery, Redshift) and transformation tools like dbt, focusing on clean, reliable, reusable datasets.
• Comfortable owning data architecture decisions and working with cloud environments and best practices like Git and CI/CD.
• Experience or strong interest in building and operationalising machine learning models and enabling AI outcomes through solid data foundations.
• Ability to drive cross-functional collaboration to shape problems and deliver solutions in healthcare contexts.
• Proactive use of AI tools to automate routine tasks and improve quality and speed.

Responsibilities

• Design and scale a robust data architecture handling large event-driven flows across GP practices in the UK.
• Build and own ingestion and ELT pipelines end-to-end from source systems to Snowflake using Python and SQL.
• Make architecture decisions that support analytics, experimentation and ML at scale.
• Collaborate with Analytics Engineering, Product and ML teams to turn raw data into reliable datasets.
• Set and uphold data integrity, security and reliability standards to keep patients safe.
• Lay data foundations for AI/ML work, moving models from experimentation into production.
• Tackle greenfield problems and contribute to a strong engineering culture through code reviews and planning.

Skills

Python

SQL

Data pipelines

ETL/ELT

Tools

Snowflake

BigQuery

Redshift

dbt

Job description

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.

Our platform now powers Total Triage to manage patient demand, and Self-Book, which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe, our AI-powered note-taker that drafts medical notes in real-time.

The team

We are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need.

We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. Within this ecosystem, our teams operate with high autonomy, owning everything from initial system design to long-term service stability.

As a Senior Data Engineer, you’ll sit at the intersection of our Analytics Engineering, Product, and ML teams, designing and scaling the pipelines and data architecture that everything else is built on, and building the foundations that turn data from a support function into a strategic asset.

Challenges you’ll solve…

• 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.

You should apply if…

• 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.
  

What’s in it for you?

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