Senior Data Engineer | NHS Counter Fraud Authority
| Posting date: | 07 May 2024 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | £58,972 - £68,525 per annum |
| Hours: | Full time |
| Closing date: | 06 June 2024 |
| Location: | London, E14 4PU |
| Company: | NHS Counter Fraud Authority |
| Job type: | Contract |
| Job reference: | 6290742/076-ATH-CFA007-B |
Summary
The Senior Data Engineer will have direct oversight and responsibility for the development, implementation, review, and establishment of data and techniques used in the Advanced Data Analytics Portfolio (DAP). As a Senior Data Engineer, you will work with project managers, data scientists, counter fraud experts, stakeholders, and senior management across the full extent of the NHSCFA and our wider stakeholders in pursuit of the above. Your primary responsibilities will include developing data pipelines, processing data, and preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain data models, and support the design of analytical services, products, and models that meet the needs of NHSCFA. You will also guide, develop, document, and maintain data pipelines and storage solutions used in the analytics environment, ensuring that the infrastructure and methods are secure, optimised, and scalable within the cloud computing environment. All of this must be aligned within the NHSCFA strategic framework that drives innovation and sustained organisational impact across the NHS and wider public sector.
This post is subject to NPP Vetting 2
Applicants can contact Susan Proctor, Data Science Manager, Susan.Proctor@nhscfa.gov.uk for an informal chat
Interviews w/c 27th May
We reserve the right to close the vacancy early.
• Develop and maintain robust, efficient, secure and reliable data pipelines using appropriate business tools.
• Build data pipelines that clean, transform, and present granular and aggregate data from disparate sources.
• Design, build, test, automate, and maintain architectures and processing workflows.
• Plan, develop and evaluate methods and processes for gathering, extracting, transforming and cleaning data and information.
• To undertake development of the data warehouse, including overall design, technical development and documentation of the data warehouse, infrastructure and ETL solutions covering multiple sources of data, working alongside NHSCFA specialists.
• Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally.
• Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset.
• Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets are separated and securely stored across within the NHSCFA tenancy.
• Implement data flows to connect data for analytics and business intelligence (BI) systems.
• Please refer to Job Description
•
We have offices based in Coventry, Newcastle and London and also offer flexible and home based working. The NHSCFA values and respects the diversity of its employees, and aims to recruit a workforce which reflects our diverse communities. We welcome applications irrespective of people's age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances. We have policies and procedures in place to ensure that all applicants are treated fairly and consistently at every stage of the recruitment process, including an invitation to the first stage of the selection process and consideration of reasonable adjustments for people who have a disability. If you are applying to undertake this role on a secondment basis you should have agreement to being released from your current role in principle, prior to submitting an application form. When you apply for this role you will be redirected to our recruitment system TRAC. Please apply without delay as reserve the right to close any vacancies from further submissions when we have received sufficient applications from which to make a shortlist. The CFA does not hold a sponsor licence in respect of skilled worker visas and so is unable to employ candidates requiring sponsorship.
• Develop, control and complete data quality process assessments on dataset ensuring data fit for purpose.
• Work with data and analytics/data science experts to strive for greater functionality in our data systems.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Develop efficient and easily maintainable processes to handle highly complex, large-scale datasets.
• Ensure highly complex data process tasks are fully automated and scheduled to run out of hours wherever practically possible.
• Identify and advise on inefficient existing queries and propose appropriate changes.
• Oversee the development of data transformation routines from both complex technical specifications and natural language agreements.
• Work in a multitude of trusted research environments to produce extracts of data pipelining to data scientist ready for analysis.
• Rapidly understand and evaluate different databases from their structure, documentation, and contents and where required engage with system and domain experts to obtain understanding of the data.
• Please refer to Job Description
This advert closes on Tuesday 21 May 2024