Director of Data and EHR Integration

F-Prime Capital; Greater London; On-site; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Generous annual leave

Professional development stipend

Flexible working hours

Job summary

Proximie is looking for a Data Engineering Lead in the UK to oversee their data platform architecture and EHR integration strategy. This pivotal role will involve leading a collaborative team while ensuring data quality and scalability.

Key responsibilities include managing ETL processes, developing technical standards, and leading data integrations with major EHR platforms. The ideal candidate will have a deep understanding of healthcare data standards like HL7 and FHIR, as well as extensive experience with AWS services.

With a focus on innovation and support for professional growth, Proximie offers a dynamic work environment based in the UK and beyond.

Qualifications

• Strong experience leading Data Engineering teams in technology.
• Expertise in HL7 v2.x and FHIR data integration.
• Hands-on skills with AWS components and orchestration tools.

Responsibilities

• Own the architecture and scalability of Proximie’s data platform.
• Lead the development of ETL/ELT pipelines and data warehousing.
• Drive best practices for data quality and CI/CD.

Skills

Data Engineering leadership

Healthcare data integration

AWS data stack

Python

SQL

DBT

Terraform

Communication

Tools

Mirth Connect

Rhapsody

Airflow

Job description

Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data.

Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like never before – with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.

Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting‑edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives.

Proximie was commercialised in 2019 and is available in over 500 facilities globally.

Position Overview

This is a newly created engineering leadership role at a pivotal moment for Proximie. We’re scaling rapidly, our data capabilities are central to our product and commercial strategy, and we need an experienced leader to own this space end to end. You’ll unite two critical capability areas under a single vision: our Data Engineering function and our EHR Integration capability. As adoption of our Surgical Suite and Intelligence Suite accelerates globally, the volume and complexity of data exchange is growing fast. We need someone who can build the infrastructure to match that ambition, while also owning the technical relationships that make our customer integrations work.

You’ll lead a talented, collaborative, cross‑functional team of engineers spanning both disciplines. Everyone reports directly to you. This is a role where you’ll have genuine ownership, real strategic influence, and the support of a team that cares deeply about doing excellent work. At the same time, the best leaders stay close to the work. We are looking for someone who thrives in that environment – equally at home in a strategic leadership conversation and in the detail of a technical problem, and who sees hands‑on contribution as a strength, not a compromise.

You’ll sit within the Product and Technology senior leadership team, with visibility across the business at the highest levels.

Job Responsibilities

Data Engineering

• Own the architecture, quality, and scalability of Proximie’s data platform.
• Lead the team building and maintaining ETL/ELT pipelines, data warehousing, and analytics infrastructure.
• Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform).
• Ensure data availability, integrity, and performance as the platform scales globally.
• Drive best practices in data quality, automated testing, anomaly detection, and CI/CD.
• Partner with Product, Engineering, and Commercial teams to translate data needs into platform capabilities.

EHR Integration

• Own Proximie’s EHR integration strategy and roadmap, covering HL7 v2.x, FHIR, and file‑based integrations.
• Lead the design and delivery of scalable, secure data exchange between Proximie and customer EHR systems (Epic, Cerner, Meditech, and others).
• Set standards for interface engine usage (Mirth Connect, Rhapsody, or equivalent) and integration architecture.
• Act as the senior technical escalation point for customer EHR implementations.
• Partner with Customer Success and Solutions Engineering to ensure integrations land on time and at scale.
• Keep pace with evolving healthcare interoperability standards (FHIR R4/R5, CDA, HIPAA, GDPR) and ensure Proximie remains ahead of the curve.

Leadership and Cross‑Functional

• Lead a flat, distributed team across the UK and US – building a culture of ownership, technical rigor, and customer focus.
• Mentor and develop engineers at all levels; set clear expectations and create space for people to do their best work.
• Represent the data and integration function in senior leadership conversations, Series D due diligence, and strategic planning.
• Drive documentation standards so integration workflows and data architectures are always audit‑ready.

Requirements

Essential

• Proven track record leading Data Engineering teams in a fast‑moving technology environment.
• Deep hands‑on expertise in healthcare data integration: HL7 v2.x, FHIR, and interface engines (Mirth Connect, Rhapsody, or equivalent).
• Experience integrating with major EHR platforms (Epic, Cerner, Meditech, or similar).
• Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow.
• Proficiency in Python, SQL, and DBT; familiarity with IaC tooling such as Terraform.
• Comfortable operating across customer‑facing technical discussions and internal engineering leadership.
• Experience managing distributed or remote teams across multiple geographies.
• Clear communicator who can translate technical complexity for non‑technical stakeholders.
• Familiarity with healthcare data privacy standards: HIPAA, GDPR.

Desirable

• Knowledge of surgical workflows or clinical documentation practices.
• Exposure to ambient sensing, computer vision, or AI/ML data pipelines in a clinical context.
• Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures.
• Experience with Snowflake, Databricks, or Spark at scale.

Why Work for Proximie?

• You will be encouraged to grow in your role, take ownership and gain responsibilities.
• Generous annual leave.
• Two “well‑being” days per year plus the day off for your birthday.
• “Summer Fridays” – early office closing on Fridays during summer months.
• Annual bonus programme – based on individual contribution.
• To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities.
• Flexible working hours – we trust our people to manage their time and to focus on wider results.
• A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.
• Proximie is a truly global company with teams across the UK, Europe, United States, and the Middle East; you will have opportunities to see the world.

Equal Opportunity Employer

Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.