Data Engineer

Job overview

Our Data Engineers will provide support to the Data Services department's data integration work, including developing data models, supporting the Trust’s analytics environment, and writing scripts and packages for data integration and data analysis. The role will work closely and collaboratively with members of the Analytic Services team who together, make up the Data and Analytic Services function. This will involve defining requirements, surfacing and analysing data, integrating data from a variety of sources (structured and semi-structured), and deploying high quality data pipelines in support of the analytics needs of the Trust.

The role will involve identifying opportunities for the reuse of existing data flows, optimising data flows, performance tuning, and implementing best practices in data management and governance.

This role will also support Trust’s Analytics Services team, local Programme and Project Management teams, the Patient Systems team, and the Digital Delivery team and plays a crucial role in supporting innovation and improvement programmes across the Trust ensuring the provision of high-quality data to support wider efforts.

The Data Services team are responsible for the development, implementation and maintenance of applications and business intelligence tools leading on the provision of direct access to management and operational information for Clinicians, Managers and Administrators and ensuring report development is relevant and accurate.

Main duties of the job

1.    Work closely with colleagues and stakeholders to develop new ideas, solutions and strategies for improving patient care and clinical outcomes.

2.    Design, develop, and test robust, scalable data pipelines and architectures to support data ingestion, processing, and storage.

3.    Conduct testing of solutions, review requirements and specifications, and define test conditions. Identify issues and risks associated with work. Analyse and report test activities and results.

4.    Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions using a highly developed specialist knowledge of analytical techniques and methods including an excellent understanding of NHS information and associated datasets.

5.    Collaborate with Data Analysts, and other stakeholders to understand data requirements and translate them into technical solutions.

6.    Develop and implement efficient ETL (Extract, Transform, Load) processes to integrate data from various sources into centralised data repositories.

7.    Document data architecture, processes, and workflows for reference and knowledge sharing.

8.    Utilise programming languages (e.g., C#, Python, SQL) and technologies (e.g., Apache Spark, SSIS, .NET) to manipulate and analyse data.

9.    Participate in code reviews, version control (e.g., using Git), and other software development best practices to ensure code quality and maintainability.

Detailed job description and main responsibilities

Please see attached Job Description and Person Specification. If you have any questions, please contact Joe Ingle [email protected] or 01423 553788