Neidio i'r prif gynnwys

Mae'r wefan hon yn annibynnol ar y GIG a'r Adran Iechyd.

Arhoswch, yn llwytho

Crynodeb o'r swydd

Prif leoliad
Data Engineering
Gradd
NHS AfC: Band 8b
Contract
Cyfnod Penodol: 10 mis (Until 31.3.25)
Oriau
  • Llawnamser
  • Gweithio gartref neu o bell
37.5 awr yr wythnos
Cyfeirnod y swydd
076-ATH-CFA007
Cyflogwr
NHS Counter Fraud Authority
Math o gyflogwr
NHS
Gwefan
1st Floor Citygate
Tref
Newcastle upon Tyne
Cyflog
£58,972 - £68,525 per annum
Cyfnod cyflog
Yn flynyddol
Yn cau
21/05/2024 23:59

Teitl cyflogwr

NHS Counter Fraud Authority logo

Senior Data Engineer

NHS AfC: Band 8b

The NHS Counter Fraud Authority (NHSCFA) is the national body responsible all for matters relating to the prevention, detection and investigation of economic crime across the NHS. Aligned to the DH Health Group Counter Fraud strategy, the NHSCFA acts as the principal lead for the NHS and wider health group in counter fraud intelligence work.

The NHSBSA is responsible for the processing of your application; a privacy notice is attached to advise you on how we will process your personal data.

Trosolwg o'r swydd

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,  [email protected]  for an informal chat

Interviews w/c 27th May

We reserve the right to close the vacancy early.  

Prif ddyletswyddau'r swydd

  • 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 
  •  

Gweithio i'n sefydliad

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.

Swydd ddisgrifiad a phrif gyfrifoldebau manwl

  • 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 

Manyleb y person

ps

Meini prawf hanfodol
  • • Excellent understanding of data engineering processes, data wrangling methods, models, data structures, and data formats.
  • • JSON, SQL, and XML
  • • Writing robust data pipeline code that can run unattended.
  • • Machine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes.
  • • Strong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc.
  • • A strong track record of achievement in data engineering.
  • • Experience/understanding of data lifecycle management frameworks and project management methodology.
  • • Experience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing.
  • • Experience with relational SQL and databases. • Experience with Azure cloud services.
  • • Master’s degree, in relevant subject or equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership, and direction.
  • • Advanced written and verbal communication skills, including the presentation of complex information, writing, and presenting corporate reports, option appraisals on service provision, presentations, and other documentation to both internal and external stakeholders. • Advanced computer literacy in the use of business/office software packages including MS Excel, MS Access, MS Word, MS PowerPoint, MS Project etc.
  • • Planning, objective setting, staff management and experience of performance management that incorporates Data Engineering and Data Science
Meini prawf dymunol
  • Advanced knowledge of data warehouse development and implementation within a big data environment. Experience of NHS data products and systems. Understanding and experience using software including big data tools. Knowledge of data and its control in a counter fraud setting.

Bathodynnau ardystio / achredu cyflogwyr

Gofynion ymgeisio

Mae'r swydd hon yn ddarostyngedig i Orchymyn Deddf Adsefydlu Troseddwyr 1974 (Eithriadau) 1975 (Diwygio) (Cymru a Lloegr) 2020 a bydd angen cyflwyno Datgeliad i'r Gwasanaeth Datgelu a Gwahardd.

Dogfennau i'w lawrlwytho

Gwneud cais ar-lein nawr

Rhagor o fanylion / cyswllt ar gyfer ymweliadau anffurfiol

Enw
Susan Proctor
Teitl y swydd
Data Science Manager
Cyfeiriad ebost
[email protected]
Gwneud cais ar-lein nawrAnfonwch hysbysiadau ataf am swyddi gwag tebyg