Health Data Engineer (Associate Consultant)

Lane Clark & Peacock

Greater London

Hybrid

GBP 60,000 - 85,000

Full time

6 days ago
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Job summary

Lane Clark & Peacock seeks a Health Data Engineer (Associate Consultant) to join our Health team in London or Winchester. You will build analytics databases from client data and contribute to reusable internal capabilities across projects.

You will design, implement and maintain robust data pipelines, collaborate with clinicians and analysts, and support Azure-based architecture with a focus on performance and security in health data environments.

Qualifications

  • 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.
  • 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

Responsibilities

  • Design and implement robust data 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
  • Identify opportunities to improve data management, engineering processes and delivery approaches across the LCP Health team
  • Support cloud-based architecture, particularly in Azure, including performance optimisation, resilience and scalability
  • Work closely with clinicians, analysts, statisticians, epidemiologists, health economists and other colleagues to turn complex analytical requirements into practical engineering solutions
  • Support the secure, reliable and appropriately governed use of automation and AI tools, particularly in contexts involving sensitive or high-assurance health data

Skills

Azure Cloud Services
Azure Data Factory
Databricks
SQL
Python
CI/CD pipelines
Git
AI/LLM familiarity
Problem-solving
Communication

Education

2:1 degree in Computer Science or related

Tools

Azure DevOps
Git

Job description

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) 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.

What will you be doing?

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

  • Design and implement robust data 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
  • Identify opportunities to improve data management, engineering processes and delivery approaches across the LCP Health team
  • Support cloud-based architecture, particularly in Azure, including performance optimisation, resilience and scalability
  • Work closely with clinicians, analysts, statisticians, epidemiologists, health economists and other colleagues to turn complex analytical requirements into practical engineering solutions
  • Support the secure, reliable and appropriately governed use of automation and AI tools, particularly in contexts involving sensitive or high-assurance health data
What skills, experience 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
  • 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
Highly desirable skills and experience include:
  • 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
What's in it for you?

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 potenti

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