Data Developer Team Lead

Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Power Platform Consultant

Applications and Data Warehouse Developer

Data Analytics Developer

Data Analyst / BI Developer - Customer & Digital Analytics

Principal Data Analytics Software Developer

Data Developer Team Lead

IntaPeople are working exclusively with a well-known Welsh based educational sector client who due to internal growth require an experienced data focussed developer to join their digital and data function. You will be responsible for leading the data team and the implementation of new and existing data solutions that’s used by a range of internal and external stakeholders.

As part of the wider organisations digital function, you will work collaborate with other developers and the solutions delivery team to ensure the delivery of company wide data software projects are priority.

With this being a large organisation, they’re technology estate is fairly broad but we’re looking to speak with candidate who have skills in areas such as;

Technical skills;

Database technologies such as MySQL, NoSQL and Postgres

Data Analysis

Data modelling

Data Warehousing

PowerBI and Tableau

Having knowledge or experience with development technologies such as Python, R, JavaScript and cloud services would be highly desirable.

Working with the wider team, you will also be responsible for establishing and maintain Data governance standards and best practices which the organisation adheres too. Mentoring and coaching your team members to ensure their professional development is at the forefront of the team which is monitored across the teams SLA’s.

What you’ll get in return;

A progressive starting salary of between £46,100 - £49,250 depending on your experience

25 days annual leave plus 8 bank holidays and Christmas > NewYear closure

True flexible working between the hours of 7:00 am > 7:00 pm (across 36.5 hours per week)

Hybrid working – This role is based on site in Cardiff 1 day per week

Free onsite parking

Strong pension scheme

Working for a registered charity

The opportunity to contribute to local & national educational services 

A highly rewarding environment

Career stability in a thriving sector

For more information please call Nathan Handley on (phone number removed) or click APPLY now

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.