Data Engineer

NHS Counter Fraud Authority

27d ago

Applications are closed

Job
Full-time
Senior Level
IT & Cybersecurity
Coventry
Remote

Requirements

Practical application expertise of managing data engineering projects and processes including data wrangling methods, models, data structures, and data formats such as JSON, XML and XSD.
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, Spark, R etc.
A strong track record of achievement in data engineering.
Experience/understanding of data lifecycle management frameworks and project management methodology.
Practical implementation of CI/CD in Azure DevOps.
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 tech stack such as Fabric, Data factory, Synapse Analytics, Databricks and Lakehouses.
Experience in building data engineering projects in Fabric.
Knowledge of data warehousing and modelling concepts such as CDC/SCD.
Ability to troubleshoot and solve numerical and technical problems.
Extensive experience within a complex and demanding environment.
Experience of producing/delivering management reports and presentations on data ingestion approaches/frameworks, impact, and related risks - focused programmes and portfolio work.
Management experience relevant to the role in an NHS or other complex organisation.
Recent and ongoing continuous professional and personal development action and activity.
Planning, objective setting and experience of performance management that incorporates Data Engineering and Data Science.
Knowledge of Data Protection, legislation and directions that support the provision of data for counter fraud purposes.
Experience in project delivery, implementation, and management of data frameworks in a fast-paced, dynamic delivery enabled environment.
Advanced knowledge of data warehouse development and implementation within a big data environment.
Experience of NHS data products and systems.
Knowledge of data and its control in a counter fraud setting.
Advanced and demonstratable experience of the development and automation of robust data pipelines from diverse sources and data types.
Experience in building or maintaining secure, accurate ETL processes.
Experience of data wrangling and feature engineering within a dynamic environment, including data validation, manipulation, merging, joining and other data engineering techniques used to prepare data for analysis.
Advanced knowledge of dissemination transformed assured data to other business users, using Fabric or similar azure data engineering tools.
Experience of data warehouse development, including overall design, technical development and documentation of the data warehouse, infrastructure and ETL solutions covering multiple sources of data.
Knowledge of using techniques to ensure datasets and efficient queries are optimised, including batch processing, partitions, and indexing etc.
Ability to build API integration to integrate various external NHS data sources and optimise code and data pipelines.
Advanced knowledge in data security practices and the various methods which can be applied.
Ability to prioritise tasks and make sense of conflicting demands and ensure work is delivered to tight deadlines utilising efficiently all available resources.
Can lead, motivate, and inspire others.
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement.
Excellent analytic skills associated with working on unstructured and structured datasets.
Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.
Knowledge of best practices and IT operations in an always-up, always-available service.
Process oriented with great documentation skills.
Knowledge of the wider NHS environment including the data and technology landscape.
Knowledge and experience of Artificial Intelligence, including designing and implementing in the workplace.
Master's degree, in relevant subject or equivalent experience/learning developed in a similar role (e.g., Data Engineering, Data Science, Computer Science, Information Technology, 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.
Excellent communication and interpersonal skills, with the ability to present and interrupt complex systems, data structures and results to technical and non-technical experts' using methods such as dynamic tools, written and visual.
Must be able to handle highly complex, sensitive, or contentious information, negotiate challenging issues with senior stakeholders, and effectively present complex and sensitive information to influential groups.
Effectively communicate and articulate complex transformation/Data quality checks to stakeholders at all management levels, addressing challenges to results with, justification, clarity, and precision.
Politically astute with knowledge of national and regional decision making and influencing bodies.

Responsibilities

Develop and maintain robust, efficient, secure, and reliable data pipelines using azure technologies including Fabric, Azure data factory, Synapse analytics, databricks and Lakehouses.
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 for analytics and business intelligence (BI) systems which are scalable.
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 and external data suppliers.

FAQs

What is the job title for this position?

The job title for this position is Data Engineer.

What organization is offering this job?

The job is offered by the NHS Counter Fraud Authority (NHSCFA).

What is the duration of the contract?

The contract is fixed term until 31st March 2026.

Is there a specific qualification required for this role?

Yes, a Master's degree in a relevant subject or equivalent experience is required.

What type of working pattern is available for this position?

The working pattern is full-time, with options for home or remote working.

What technologies should candidates be familiar with for this role?

Candidates should be familiar with Azure technologies including Fabric, Azure Data Factory, Synapse Analytics, Databricks, and Lakehouses.

Will previous applicants be considered for this role?

No, previous applicants are not eligible to reapply for this position.

What is the pay scale for this position?

The salary for this position ranges from £53,755 to £60,504 a year.

What is required before submitting an application if applying for a secondment?

Those applying for a secondment should have agreement to be released from their current role in principle before submitting an application.

Are there any special security clearance requirements for this job?

Yes, the post holder will be required to have a Non-Police Personnel Vetting Level 3 (NPPV3) clearance.

Where are the NHSCFA offices located?

The NHSCFA has offices located in Coventry and Newcastle.

How can potential applicants get more information about the role?

Potential applicants can contact Naga Balam via email at naga.balam@nhscfa.gov.uk for an informal chat regarding the role.

What is the interview process for this position?

Interviews will be held online on 12.05.25, and if a candidate is deemed suitable, a second face-to-face interview will be arranged.

What types of skills are essential for the Data Engineer role?

Essential skills include strong programming skills in SQL, Python, and Spark, experience in data lifecycle management, and knowledge of data wrangling and data formats such as JSON and XML.

NHS Counter Fraud Authority

The NHS Counter Fraud Authority is leading the fight against fraud, bribery and corruption in the NHS.

Government

Industry

51-200

Employees

2017

Founded Year

Mission & Purpose

The NHS Counter Fraud Authority (NHSCFA) is dedicated to preventing, detecting, and investigating fraud within the NHS. Their mission is to protect NHS resources by ensuring integrity and compliance across the healthcare system. Their purpose is to safeguard public funds, maintain trust in the NHS, and ensure that resources are used effectively to deliver high-quality patient care.