Lead Data Developer

Hemel Hempstead
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Lead / Data Architect

Data Engineering Lead

Senior Data Engineer

Applications and Data Warehouse Developer

Data Analytics Developer

Data Analyst / BI Developer - Customer & Digital Analytics

Lead Data Developer - £66,303

Hemel Hempstead - Hybrid (minimum 3 days in the office)

Are you an experienced data professional with a passion for leadership and innovation? Hightown is thrilled to present an exciting new opportunity for aLead Data Developer to join our dynamic team!

About the Role:

As our Lead Data Developer, you will be at the forefront of designing and managing Hightown’s data architecture. You will lead a skilled team of data engineers, analysts, and scientists, nurturing a collaborative and innovative atmosphere to drive success.

Key Responsibilities:

Design and Implement Data Architecture: Develop strategies that align with Hightown’s goals.
Mentor and Manage Team: Support and guide your team to achieve their best.
Optimise Data Processing: Ensure seamless data flow and implement ETL tools.
Lead Projects: Oversee data architecture projects from inception to completion.Experience and Qualifications:

Certifications: Microsoft Certified: Azure Data Engineer Associate, Oracle Database SQL Certified Associate.
Senior-Level Experience: Proven background in architecture and data management.
Leadership Skills: Ability to motivate and manage performance.
Technical Expertise: Experience with data integration tools, ETL processes, and big data technologies.Why Join Hightown?

Collaborative Environment: Work in a supportive and innovative team.
Generous Leave: 33 days of annual leave including Bank Holidays.
Competitive Salary: £66,303 per annum for a 35-hour week.
Monthly Attendance Bonus
Life Assurance: Cover three times your annual salary.
Discounts and Savings: High street retailers, gyms, restaurants, and cinemas.
Training Opportunities: Ongoing career development.
Employee Support: Health & wellbeing services.
Free On-site Gym Access

If you are ready to take your career to the next level and make a significant impact, we want to hear from you! Apply now to join Hightown and be part of a team that values innovation, collaboration, and professional growth.

We will be reviewing and interviewing candidates on an ongoing basis, so we encourage you to apply early to avoid missing out.

Hightown is an Equal Opportunities & Disability Confident Employer

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.