Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Engineer

Benefact Group
Gloucester
3 days ago
Create job alert
Overview

Benefact Group are looking for a Lead Data Engineer to join our Gloucester office.

Working hours: 35 hours per week, Monday to Friday. Duration: Permanent. Location: Gloucester. Job Ref: 203895.

Join us at the forefront of data innovation, where you’ll lead the design and delivery of high-impact data solutions using Azure, DBT, and Snowflake. As a Lead Data Engineer, you’ll architect scalable pipelines, champion engineering best practices, and mentor a talented team in a multi-cloud environment. You’ll play a pivotal role in shaping our data strategy, driving automation, and embedding governance across our platforms.

This is a hands-on leadership role where your technical expertise and vision will directly influence how data powers decisions across the organisation. With access to cutting-edge tools and a culture that values continuous learning, you’ll be empowered to innovate and grow. If you\'re passionate about building modern data platforms and leaving a lasting legacy through technology, this is your opportunity to lead from the front.

Responsibilities
  • Architect, build, and optimise robust data pipelines using Azure Data Services, DBT, and Snowflake
  • Lead the delivery of high-quality, governed data products across our Azure and Snowflake platforms
  • Drive automation and deployment with CI/CD and infrastructure as code, leveraging Azure DevOps and Terraform
  • Mentor and guide a team of data engineers, fostering best practices in DBT modelling and cloud data engineering
  • Collaborate with cross-functional teams to deliver scalable, secure, and high-impact data solutions
What You'll Need To Have
  • Deep hands-on experience with Azure Data Services (Data Factory, Synapse, Databricks), DBT, and Snowflake
  • Strong proficiency in Python and SQL for data engineering and transformation
  • Proven track record in designing and maintaining cloud-native data pipelines and data models
  • Experience implementing CI/CD, infrastructure as code (Terraform, Bicep), and DevOps practices in Azure
  • Excellent leadership, communication, and mentoring skills
What Makes You Stand Out
  • Advanced expertise in DBT for data modelling and transformation at scale
  • Experience integrating Snowflake with Azure-native services and orchestrating complex data workflows
  • Certifications in Azure Data Engineering or Snowflake
  • Familiarity with modern data governance frameworks (Data Contracts, OpenMetadata) in a cloud context
  • Passion for driving innovation and uplifting engineering culture in a multi-cloud environment
What We Offer
  • A competitive salary - let\'s discuss it
  • Hybrid working
  • Group Personal Pension - up to 12% employer contribution
  • Generous annual bonus scheme between 7.5% and 30%
  • 28 days annual leave plus bank holidays, and a holiday buy and sell scheme
  • An array of health and wellbeing benefits, including private healthcare, income protection and life assurance
  • £200 annual personal grant to a charity of your choice
  • Encouraged to take at least one volunteering day per year
  • Employee Assistance Programme
  • Full study support to gain professional qualifications
  • Access to virtual GP
  • Enhanced maternity and paternity pay
Hear from the Hiring Manager

"This is more than just a data engineering role - it’s a chance to be part of something truly meaningful. We’re building a world-class cloud data platform that’s not only transforming how we work with data, but also powering smarter decisions, driving innovation, and helping us give more to charity. I’m looking for people who bring deep technical expertise and a genuine passion for mentoring others. You’ll play a key role in shaping our engineering culture, uplifting our internal teams, and contributing to a transformative program that spans multiple cloud environments and cutting-edge technologies. If you\'re excited by the idea of leaving a lasting legacy - not just in tech, but in the lives we touch - then I’d love to hear from you."

About Us

Benefact Group is a unique international financial services Group made up of over 30 businesses. We are owned by a charity and have been the 3rd largest UK corporate donor over a decade, having given away £250 million since 2014. We have ambitious plans to become the UK’s number one corporate donor, with strategic objectives in place to double the Group’s size.

We believe it\'s essential to attract, empower, grow and reward talented people, offering fantastic opportunities for career and personal development. Our giving ethos, 135-year history and the diversity of what we do has enabled us to build a culture of kindness, great ambition, and of passionate people driven to do better and be better.

At Benefact Group, we are committed to creating an inclusive culture and building an environment where each and every one of us feels valued and respected. We are a community made up of people with a range of different backgrounds, abilities, perspectives, beliefs and interests and we value the strength this brings to us as a Group. We welcome applications from everyone.

If you need any additional support during the recruitment process, please let us know.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.