Equal Opportunities We encourage applications from all candidates with protected characteristics, including disabled and neurodiverse candidates and those in the Armed Forces Community. Applications submitted in Welsh will be treated the same as English.
We welcome applicants to request reasonable adjustments to the application and interview process. If you need any documents in a larger font, braille, or other format, please contact the recruiting manager listed in the advert or the Aneurin Bevan University Health Board recruitment team at 01495 745805 option 3 or email abb.vacancyrequests@wales.nhs.uk.
We reserve the right to close this vacancy at any time.
Job Overview
This post supports the delivery of high‑quality, complex Cloud First Data Engineering and reporting services across engineering functions within the Health Board. The postholder will translate business requirements into technical solutions, develop innovative BI products, data assets, and automated reporting solutions, and lead data engineering activities while supporting junior staff. The role operates across on‑premises and cloud environments using T‑SQL, Python, Qlik Sense, Looker, and Google Cloud Platform.
Main Duties
* Translate business needs into technical requirements and develop data engineering products.
* Produce data engineering tools, pipelines and orchestration solutions (e.g., DAGs) to enable the BI environment.
* Develop production‑ready data assets for both on‑premises and cloud environments.
* Evaluate and troubleshoot role‑related products and services.
* Facilitate the migration to Cloud services and support the broader Information Services Team.
Essential Criteria
* Extensive experience designing, building, testing, modifying and maintaining data pipelines and data stores creating complex or large‑scale data products.
* Experience in a broad range of data engineering exercises, including data modelling such as Kimball’s Dimensional Data Modelling.
* Proficiency in key programming languages such as T‑SQL and Python.
* Experience developing complex data engineering processes using a range of technical tools.
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