Senior Data Engineer- NHS Midlands and Lancashire Commissioning Support Unit London E14•Hybrid work £43,742 – £50,056 a year – Full-time

Full time @Data Science Career in Data Engineering
  • Apply Before : July 26, 2024
  • Salary: £43.00 - £50.00 / Annual
  • 1 Application(s)
  • View(s) 57
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Job Detail

  • Job ID 23551
  • Sector  Data Engineering

Job Description

Data Engineer

Full job description

Join a passionate NHS team help ing to shap e the future of healthcare . ​

The Health Economics Unit is looking for a Senior Data Engineer to provide vital data and insights , as we support health and care providers in making impactful decisions to improve population health .

As a passionate member of our outstanding team, you will have a range of responsibilities, including:

Data extraction and integration

Data workflow management

Data processing and transformation

Data storage and management

Quality assurance and governance

Data analysis

Collaboration and development

The Senior Data Engineer will sit within the Data and Analytics team , led by the Chief Analyst and reporting to the Lead Data Engineer , and work ing closely across HEU team, with data scientists, analysts, project managers, and health economists .

You will also engage with our clients, partners and stakeholders throughout projects, understanding their needs and communicating your work .

The Health Economics Unit (HEU) is part of the Midlands and Lancashire Commissioning Support Unit (ML). We deliver impactful insights that power the future development of health and care delivery. Our experts support health system and industry leaders to make the best possible decisions and design the highest quality , most efficient and most innovative services to improve the health of communities across the country.

The Senior Data Engineer provid es vital data and insights to i nform decisions , driv ing improvements in healthcare and impacting millions of people . Working in a collaborative environment, with data scientists, economists , data engineers and other healthcare professionals, you will be extract ing , transform ing , and clean ing data ready for analytical projects .

NHS ML is committed to our process of redeployment at risk members of our existing workforce to new roles. As such, all job adverts are subject to this policy and we reserve the right to close, delay or remove adverts while this process is completed. If you do experience a delay in the shortlisting stage of the recruitment cycle, please bear with us while this process is completed, and contact the named contact if you have any questions.

The NHS is the biggest employer in Europe. It’s a world-renowned institution and an exciting place to work, full of challenges and opportunities.

NHS Midlands and Lancashire Commissioning Support Unit (MLCSU) is one of the biggest and best-performing commissioning support units in the country, with among the highest levels of staff and customer satisfaction. We work together as a team of over 1,600 expert staff based across the Midlands and North West to make a difference – for our customers, patients and communities.

Offering a full range of professional services to hospital trusts, local authorities, integrated care systems (ICSs) and other public bodies across the country, our NHS values underpin everything we do.

At the HEU we embrace a flexible and agile working style that balances the needs of you as an individual, the team and our services. Our office is located in Canary Wharf, London. Depending on the working pattern that suits you, you can choose between working in the office two days a week, necessary for High Cost Area Supplement (HCAS), or homeworking; in the office for key team days, meetings and when appropriate to your ways of working.

Data extraction and integration:
In this role, y ou will design, build, and maintain code to extract data adapting your methods based on the environment. You’ll take ownership of the methodologies used for data extraction, regularly reviewing and refining them to ensure their effectiveness. Your expertise will enable you to rapidly understand and evaluate various databases, structured files and APIs, considering their structure, documentation, and contents. You’ll efficiently handle complex datasets, extracting data from large-scale NHS datasets, publicly available health data, and commercial or research environments. At the HEU we regularly work with a wide range of data, examples include SUS, Fingertips, CPRD, and OpenSafely .

Data w orkflow management:
M anaging the flow of data through pipelines involves ensuring the development and maintenance of reproducible analytical pipelines (RAPs). Your tasks will include scheduling jobs, monitoring performance, handling errors, testing, and automating complex processes. When querying large datasets, even in environments where control may be limited, you will employ techniques that continue to ensure efficiency .

Data p rocessing and transformation:
Planning, developing, and evaluating methods and processes for transforming and cleaning data is vital to producing valuable insights. Collaborating closely with colleagues , you ’ ll appreciate their data requirements, allowing you to direct the processing and transformation of raw data into formats ready for analysis. As part of this process, you ’ ll produce flexible and replicable code to ensure efficiency , effectiveness , and security .

Data s torage and m anagement:
Your responsibilities also extend to efficiently storing and managing large volumes of data. This involves selecting appropriate storage solutions for performance and developing comprehensive documentation for assets and analyses . You will also support with ensuring data sets are held in an appropriately secure environment and destroyed when appropriate .

Quality a ssurance and g overnance:
Y ou will always maintain security and the confidentiality of personal and commercially sensitive data in line with the relevant information governance (IG) , s tandards and policies. Additionally, y ou will investigate data quality issues, understanding how inconsistencies could affect ability to analyse the data you extract. You will provide work arounds when possible and articulat e inconsistencies and solutions to the team and clients. You will support the team to implement techniques to ensure efficient queries; advising on queries across the entire team .

Data analysis:
Y ou’ll also engage in data analysis tasks from time to time. Collaborating closely with the Data Scientists in our team, you will use creative approaches to extract valuable information to provide clear insights to decision-makers .

Collaboration and development :
Collaborative coding approaches through version control and peer review will enable our work to be of the high est quality. You will ensur e client requirements are met by supporting project managers with required documentation and delivering on time and within budget. You will instill a culture of learning and knowledge sharing ; y ou will develop and maintain your specialist knowledge whilst providing educational opportunities to enhance colleagues skills in your areas of expertise.

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