Data Engineer

Data Engineer

Full-Time 37338 - 44962 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Transform business needs into technical solutions and develop innovative data products.
  • Company: Aneurin Bevan University Health Board, committed to equal opportunities.
  • Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
  • Other info: Supportive environment with a focus on career development and innovation.
  • Why this job: Join a dynamic team and make a real impact in healthcare data engineering.
  • Qualifications: Experience in data pipelines, T-SQL, Python, and data modelling required.

The predicted salary is between 37338 - 44962 £ per year.

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.

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.

Data Engineer employer: Aneurin Bevan University Health Board

Aneurin Bevan University Health Board is an exceptional employer that prioritises inclusivity and employee development, making it a fantastic place for Data Engineers to thrive. With a commitment to fostering a supportive work culture, the Health Board offers opportunities for professional growth through innovative projects in cloud data engineering, while also ensuring a flexible and accommodating environment for all staff. Located in Wales, employees benefit from a collaborative atmosphere that values diverse perspectives and encourages meaningful contributions to healthcare services.
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Contact Detail:

Aneurin Bevan University Health Board Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with T-SQL, Python, and cloud environments. Practising common interview questions can help you feel more confident when it’s your turn to shine.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.

We think you need these skills to ace Data Engineer

Cloud Data Engineering
T-SQL
Python
Qlik Sense
Looker
Google Cloud Platform
Data Pipeline Development
Data Modelling
Kimball’s Dimensional Data Modelling
Automated Reporting Solutions
Troubleshooting
Data Asset Development
Orchestration Solutions
Collaboration with Junior Staff

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with T-SQL, Python, and any cloud platforms you've worked with. We want to see how your skills match what we're looking for!

Showcase Your Projects: Include specific projects where you've designed and built data pipelines or BI products. We love seeing real examples of your work, so don’t hold back on the details!

Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to explain your technical skills in a way that shows how they relate to our needs.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to follow your application status directly!

How to prepare for a job interview at Aneurin Bevan University Health Board

✨Know Your Tech Inside Out

Make sure you’re well-versed in T-SQL, Python, and any other tools mentioned in the job description. Brush up on your knowledge of data pipelines and cloud environments, as you might be asked to explain how you would approach specific engineering challenges.

✨Showcase Your Problem-Solving Skills

Prepare to discuss past projects where you translated business needs into technical solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to troubleshoot and evaluate data-related products.

✨Demonstrate Your Team Spirit

Since the role involves supporting junior staff, be ready to talk about your experience in mentoring or collaborating with others. Share examples of how you’ve facilitated teamwork and contributed to a positive working environment.

✨Ask Thoughtful Questions

Prepare some insightful questions about the company’s data strategy or the tools they use. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding inclusivity and support for diverse candidates.

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