Principal Data Warehouse Developer

NHS
Cwmbran
4 days ago
Create job alert

An exciting opportunity has arisen for a talented and experienced Principal Data Warehouse Developer to join our Digital Services team. We have set out an ambitious five-year Digital Plan to deliver world-class information and digital solutions, with patient care at its core.

As Principal Data Warehouse Developer, you will play a key role in enabling and enhancing the Trust's data warehousing and Business Intelligence capabilities. You will design, develop, and maintain ETL processes, create and update data pipelines, and support the integration of new datasets to ensure high-quality, actionable insights are available across the organisation.

The ability to speak Welsh is desirable for this post; Welsh and/or English speakers are equally welcome to apply.

Main duties of the job

Key Responsibilities

  • Contribute to the Trust's Digital and Data Strategies through advanced technical delivery.
  • Design and implement robust ETL processes for diverse datasets.
  • Collaborate with senior clinicians, operational teams, and support staff to understand business needs.
  • Deliver information solutions that enable evidence-based decision-making.
  • Work on enablement of:
    • Data linkage across multiple systems.
    • API development and integration.
    • Cloud migration of data assets.
    • Metadata management and governance.
    • Establishing and maintaining a data catalog.
    • Creating new data pipelines and transforming and upgrading existing ones.
  • Manage your workload effectively, in order to meet tight deadlines while maintaining high standards.
  • Contribute to a culture of innovation, teamwork, and continuous improvement.

About You

We are looking for someone who is:

  • Self-motivated, personable, and confident in stakeholder engagement.
  • Experienced in data warehousing, ETL, and BI development.
  • Skilled at translating complex business needs into technical solutions.
  • A strong team player with excellent communication skills.
  • Able to manage competing priorities and deliver under pressure.

Application Process

Please read the job description and person specification carefully and ensure your application demonstrates the required knowledge, skills, and experience to carry out the role.

About us

Our workforce is made up of over 4,000 remarkable people who contribute to the delivery of world-class patient care across Wales, 24 hours a day, 365 days a year. Whether you work in a patient-facing role or within our range of support services, the work that you do enables us to provide high quality care, wherever and whenever we're needed.

The Trust recognises the need for its workforce to represent the diversity of the population it serves across the whole of Wales and seeks to create an environment where diversity is celebrated and inclusivity matters. We are also keen to break down any barriers into the Trust, and would encourage applications from under-represented groups, including those from Black, Asian and Minority Ethnic communities, LGBTQ+ communities and disability groups.

Careers within the Welsh Ambulance Services University NHS Trust are diverse and varied, with opportunities arising right across the service. Whatever your skills and background, you're sure to find a career with us which is fulfilling, challenging, and rewarding.

In line with the Trust's Starting Salary Procedure, all applicants will start at the bottom of the band for the position applied for, but can apply for a higher salary if they have previous experience relevant to the position.

Job responsibilities

You will be able to find a full Job description and Person Specification attached within the supporting documents or please click Apply now to view in Trac.

Person SpecificationQualifications and/or Knowledge
  • Bachelor's degree in Software Development or equivalent qualifications, knowledge, or experience.
  • Demonstrable expertise in Database Development, either obtained via industry recognised qualifications (e.g. Microsoft Certification) or equivalent practical experience
  • Proven knowledge and understanding of the Software Development Lifecycle (SDLC) either through a suitable qualification (e.g. Agile) or equivalent practical experience.
  • Evidence of SQL Server Database Administration either through formal qualifications or via equivalent practical experience.
  • Evidence of continuing professional development and post qualification learning and development.
  • Advanced qualification in an agile development methodology.
  • Qualification in team leadership (such as the Institute of Leadership and Management's Level 2 Diploma in Team Leadership)
Experience
  • Proven experience of database development role in a formal development environment.
  • Evidence of leading the design, development, and deployment of large-scale database development projects.
  • Evidence of experience with Windows PC and server operating systems.
  • Proven record of management of successful and substantial software development and implementation.
  • Evidence of a strong understanding of NHS Clinical/Administrative Information and IT requirements.
  • Proven experience of using Microsoft BI Stack to prepare, move, store and present data. This includes; SSIS, SSAS, SSRS
  • Excellent working knowledge of relational database systems.
  • Experience developing software for Clinical Information or Healthcare systems.
  • Good working knowledge of database administration activities
  • Experience of working in an Agile Development environment.
  • Experience of using Qlik Business Intelligence Software.
Values
  • Ability to demonstrate the trust values.
Other
  • Able to work flexibly.
Aptitude and Abilities
  • Highly skilled in development using a suitable IDE and programming language.
  • Ability and confidence to speak publicly to groups of people, demonstrating ideas, concepts and working software and answer related questions.
  • Excellent planning skills. Ability and confidence to lead and motivate a team, chairing team meetings (such as Daily SCRUMS and Sprint retrospectives.)
  • Able to establish good working relationships with people at all levels.
  • Able to work under own initiative.
  • Able to communicate with staff on complex business or clinical processes.
  • Ability to assess and recommend the recruitment of suitable staff.
  • Display high quality written and verbal communication skills.
  • Able to learn new technologies and IT systems quickly through both self-study and professional courses.
  • Highly professional and flexible attitude to work.
  • Ability to speak Welsh
  • Understands the Data Protection Act and its implications for the holding of patient information NHS Information flows / services.
Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Warehouse Developer

Principal Data Warehouse Developer

Principal Data Warehouse Developer

Principal Data Warehouse Developer

Senior Data Warehouse Architect & ETL Lead

Senior Data Warehouse Architect & ETL Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.