Health Data Engineer (Associate Consultant)

LGBT Great; Greater London; Híbrido; GBP 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working

Study support

Wellbeing networks

Life assurance

Income protection

Parental leave

Private medical insurance

Eye care vouchers

Cycle to work

Pension

Discretionary bonus

Descripción de la vacante

LCP Health seeks a Health Data Engineer (Associate Consultant) to help scale analytics delivery. You will build analytical databases from client data, design data models, and support data infrastructure in a fast-moving health team.

The role covers data modelling, ELT pipelines, and production-grade data systems, with hybrid work options in London or Winchester. Collaboration across clinical, statistical, and tech specialists is essential.

Formación

• Minimum 2:1 degree in Computer Science, Software Engineering, or related discipline.
• Within the UK healthcare and/or life sciences industry, demonstrable 3+ years experience in a data engineering or similar role with focus on analytical data models.
• Experience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL Server/SQL databases.
• Experience with version control and CI/CD pipelines (e.g. Azure DevOps, Git).
• Excellent programming skills in SQL and Python with R desirable.
• Hands-on experience building ELT data pipelines.
• Solid understanding of data engineering principles.
• Familiarity with AI/LLM-based tooling or applications.

Responsabilidades

• Design and implement robust data models to support analytical, reporting and operational requirements across complex health data.
• Develop and maintain analytical databases that integrate structured and unstructured data from multiple sources.
• Develop and maintain reliable, production-grade technical infrastructure to support analytical and operational processes.
• Automate and improve workflows across data processing, data management, analysis and reporting.
• Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications.
• Contribute to good engineering practice through documentation, code review, version control and continuous improvement of technical standards.

Conocimientos

SQL

Python

Azure

Databricks

ELT pipelines

CI/CD

Data modelling

Problem solving

Communication

Educación

2:1 degree in Computer Science / Software Engineering or related

Herramientas

Azure Data Factory

Databricks

SQL Server

Git

Azure DevOps

Descripción del empleo

Health Data Engineer (Associate Consultant)

Business area Health

Location London and Winchester

Job ID 325730

Location - London or Winchester

Hybrid working - as per departmental requirements

In 2020, LCP launched its Health practice, providing analytical and research services across healthcare and life sciences. Our team brings together clinicians, statisticians, epidemiologists, health economists and health data scientists, alongside LCP’s established actuarial, analytics and technology expertise, to develop innovative solutions to some of the most important challenges in health. We have grown rapidly in response to strong demand for our services and are now looking for a Health Data Engineer (Associate Consultant) to help scale our delivery capability.

You will play an important part in strengthening LCP Health’s capabilities in delivering analytics projects where there is a requirement to construct analytical databases from clients’ raw and unstructured data. Additionally, you will support the data engineering function by maintaining and enhancing data infrastructure and processes.

This is an exciting opportunity to apply modern engineering and automation approaches to complex, high-impact problems in healthcare and life sciences.

What will you be doing?

As a Heath Data Engineer (Associate Consultant) in LCP’s Health team, you will work across a diverse range of data engineering projects that support both client delivery and the development of reusable internal capabilities.

Your key responsibilities will be to:

• Design and implement robust data models to support analytical, reporting and operational requirements across complex health data
• Develop and maintain analytical databases that integrate structured and unstructured data from multiple sources
• Develop and maintain reliable, production-grade technical infrastructure to support analytical and operational processes
• Automate and improve workflows across data processing, data management, analysis and reporting
• Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications
• Contribute to good engineering practice through documentation, code review, version control and continuous improvement of technical standards
• Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications

and qualities are we looking for?

• A minimum 2:1 degree (or equivalent) in Computer Science, Software Engineering, or a related discipline
• Within the UK healthcare and/or life sciences industry, demonstrable (likely 3+ years) experience in a data engineering or similar role with a particular focus on design and delivery of analytical data models
• Experience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL server/SQL databases
• Experience working with version control and CI/CD pipelines (e.g. Azure DevOps, Git)
• Excellent programming skills in both SQL and Python with experience in R being desirable
• Hands on experience building ELT data pipelines
• A solid understanding data engineering principles
• Familiarity with AI/LLM-based tooling or applications
• Excellent problem-solving skills and a practical approach to designing solutions to complex technical and operational challenges
• Outcomes-focused, designing solutions that are effective and usable
• Comfortable with, and enjoyment in, working as part of a small, dynamic and multidisciplinary team, comfortable leading on day-to-day project activities with support from more experienced team members
• Initiative and creativity
• Excellent communication skills, with the ability to explain technical concepts clearly to non-technical internal stakeholders and project teams
• Excellent organisational skills

• Experience working with sensitive data or in settings where traceability, reproducibility and quality assurance are important
• Familiarity with data quality frameworks and regulatory guidance for real world health data

Take a look at our and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes:

For you:

• Hybrid working (see top of the advert for details)
• Professional study support (where applicable)
• Access to our internal Wellbeing, LGBTQ+, Multicultural and Women’s networks

For your family:

• Life assurance
• Income protection
• Enhanced maternity/paternity/adoption and shared parental leave

For your health:

• 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday
• Private medical insurance
• Discounted gym memberships, critical illness and dental insurance through our flexible benefits
• Eye care vouchers
• Cycle to work scheme
• Digital GP services

For your wealth:

• Competitive pension scheme
• Discretionary bonus scheme
• High street discounts
• Season ticket loans

For others:

• Volunteering opportunities

For the environment:

• Electric vehicle salary sacrifice scheme (qualifying period applies)

And much more!

We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation.

LCP is committed to making our opportunities accessible to all and welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or , or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - to discuss how we can support you with your application.