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- Tasks: Lead the design and build of innovative data pipelines and solutions.
- Company: Join a purpose-driven organisation reshaping data for environmental innovation.
- Benefits: Enjoy a competitive salary, flexible working, and generous holiday allowance.
- Why this job: Be part of a tech-forward team making a real-world impact with data.
- Qualifications: 8+ years in data engineering with expertise in SQL, Snowflake, and Azure.
- Other info: Opportunities for volunteer days and workcations in a positive culture.
The predicted salary is between 55000 - 70000 £ per year.
🚀 Lead the Future of Data | Lead Data Engineer | Bristol (Hybrid)
£65,000 – £80,000 + Excellent Benefits | Hybrid
Are you an experienced Data Engineer ready to step into a strategic, hands-on leadership role? We\’re working with a purpose-driven organisation that’s reshaping how data supports environmental and regulatory innovation — and they need a Data Engineering Lead to help deliver their next-generation data platform.
This is a chance to join a tech-forward, impact-led business based in the heart of Bristol. You’ll play a pivotal role in shaping and delivering a brand-new cloud-native data platform — the backbone of digital tools that serve major UK brands and internal teams alike.
What you’ll be doing:
- Lead the design and build of secure, scalable data pipelines using Azure Data Factory, Snowflake, and DBT
- Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact
- Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases
- Own and evolve CI/CD pipelines using Azure DevOps, Git, and modern data practices
- Translate complex data into intuitive dashboards and tools with Power BI
- Be hands-on in everything from modelling and scripting to permissions and performance tuning
What we’re looking for:
- 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT, and Power BI
- Strong Python skills and experience integrating third-party systems via APIs
- A confident communicator who can bridge technical and non-technical teams
- Proven ability to deliver efficient, scalable solutions in fast-paced, regulated environments
- Someone who values diligence, accountability, and proactivity as much as technical excellence
Why join?
- A rare blend of purpose, scale, and flexibility
- £65,000 – £80,000 salary + up to 10% bonus
- 28 days holiday + bank holidays
- 7% employer pension, 5x salary life insurance, health cash plan, critical illness cover
- Flexible, hybrid working + £250 home working setup
- Volunteer days, workcations, and a positive, impact-driven culture
This role offers a unique opportunity to shape both technology and purpose. If you\’re excited by meaningful data work and want to be part of something bigger, we’d love to hear from you.
If you are interested, but don’t think you tick all the boxes, we are still keen to hear from you. Please apply directly to this advert, or reach out to Adam Townsend:
07478 213563
adam@sr2rec.co.uk
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory, Snowflake, and DBT. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with cloud-native platforms. Engaging with industry groups or attending relevant meetups can help you gain insights and potentially get referrals for the role.
✨Tip Number 3
Prepare to discuss your leadership experience in data engineering. Think of examples where you've led projects or teams, particularly in fast-paced environments, as this role requires strong leadership skills.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts to non-technical stakeholders. This is crucial for the role, so be ready to provide examples of how you've successfully bridged the gap between technical and non-technical teams in your previous roles.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with SQL, Snowflake, Azure, and Power BI. Use specific examples that demonstrate your leadership skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how it can drive environmental and regulatory innovation. Mention your hands-on experience with cloud-native platforms and your ability to collaborate across teams.
Showcase Relevant Projects: Include details of any relevant projects you've worked on, especially those involving data pipelines, CI/CD processes, or API integrations. Highlight your role and the impact of these projects on the organisation.
Prepare for Technical Questions: Anticipate technical questions related to data engineering practices, tools, and methodologies. Be ready to discuss your experience with Azure Data Factory, DBT, and performance tuning in detail.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SQL, Snowflake, Azure, DBT, and Power BI in detail. Highlight specific projects where you successfully implemented these technologies, as this will demonstrate your deep technical expertise.
✨Demonstrate Leadership Skills
Since this is a lead role, be ready to share examples of how you've led teams or projects in the past. Discuss your approach to collaboration across different departments and how you ensure that everyone is aligned towards common goals.
✨Communicate Clearly
As a confident communicator, you should be able to explain complex data concepts in simple terms. Practice articulating your thoughts clearly, especially when discussing how you bridge the gap between technical and non-technical teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in fast-paced, regulated environments. Think of scenarios where you had to optimise performance or enforce governance, and be ready to explain your thought process and the outcomes.
