At a Glance
- Tasks: Build and automate scalable data pipelines for AI and machine learning projects.
- Company: Global organisation focused on innovation through data, AI, and machine learning.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to work on impactful projects.
- Other info: Dynamic environment with opportunities to tackle complex data challenges.
- Why this job: Join a collaborative team and make a difference in advanced analytics and scientific innovation.
- Qualifications: Strong Python and SQL skills, experience with cloud platforms and data engineering.
The predicted salary is between 63000 - 77000 £ per year.
- Senior Data Engineer
- £650 - £750 per day including agency fees
- London | Hybrid
This is an opportunity to work on a high-impact data engineering project at the intersection of AI, machine learning, and large-scale data platforms.
You will help build and enhance critical data products that support advanced analytics and scientific innovation, using modern cloud technologies and engineering best practices.
The Company
They are a global organisation investing heavily in data, AI, and machine learning to drive innovation across complex scientific and business challenges.
Their teams combine strong engineering practices with cutting-edge technology to deliver scalable, data-driven solutions.
You will join a collaborative environment where data engineering plays a central role in enabling future-facing AI initiatives.
The Role and Deliverables
- Build, operate, and automate scalable data pipelines handling large and complex datasets.
- Design data storage, transfer, and transformation processes within a cloud-based environment.
- Develop automated ingestion, validation, harmonisation, and quality control workflows.
- Deliver analysis-ready datasets for machine learning, analytics, and wider technical teams.
- Write production-grade Python code that is tested, documented, and maintainable.
- Collaborate with software engineers, machine learning engineers, and domain specialists to solve complex data challenges.
- Your Skills & Experience
- Strong experience using Python for data engineering and data transformation.
- Strong SQL skills, including data modelling and schema design.
- Experience building and maintaining ETL or ELT pipelines using orchestration frameworks.
- Experience working with large-scale datasets stored in cloud platforms such as GCP, AWS, or Azure.
- Experience with CI/CD, Dev Ops practices, and modern software development methodologies.
- Ability to work independently, manage ambiguity, and make sound technical decisions.
- Experience with Big Query, Google Cloud, medical imaging data, DICOM, or AI-enabled development workflows would be advantageous.
How to Apply
If you are interested in this Senior Data Engineer contract opportunity and would like to work on a highly visible data and AI programme, please apply today.
Data Engineer (Medical Imaging) in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Medical Imaging) in London
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We think you need these skills to ace Data Engineer (Medical Imaging) in London
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