At a Glance
- Tasks: Design and build data pipelines, own ETL processes, and collaborate with experts.
- Company: Leading consultancy focused on hands-on implementation and lasting client value.
- Benefits: Hybrid work model, career progression, and a people-first culture.
- Other info: Opportunity to mentor juniors and engage with clients directly.
- Why this job: Work on diverse projects and make a real impact in the tech space.
- Qualifications: Experience with Azure, SQL, and strong communication skills required.
The predicted salary is between 50000 - 65000 £ per year.
Location | Bristol, UK | Hybrid with on‑site requirements
We’re recruiting on behalf of a leading strategy, operations and digital consultancy. This is a people‑first business with a genuine delivery focus, not just PowerPoint decks, but hands‑on implementation that creates lasting value for clients.
This is a standout opportunity for an experienced Data Engineer who wants variety, real impact, and the chance to work across product development, client delivery, and cutting‑edge technology challenges.
What You’ll Be Doing
- Designing and building robust data pipelines for streamed, batched, and on‑demand data sources
- Owning ETL/ELT processes and maintaining automation for data collection and analysis
- Working closely with product owners, data scientists, and infrastructure engineers to deliver scalable solutions
- Contributing to the consultancy’s proprietary platform development
- Working in an Agile delivery model (Discovery – Alpha – Beta – Live) aligned to GDS standards
- Engaging with client stakeholders to understand their data landscape, security requirements, and digital maturity
- Coaching and mentoring junior team members
What We’re Looking For
- Cloud platform expertise — Azure‑centric, with solid knowledge of Azure Data Factory and related Azure data services
- Strong SQL and data modelling skills
- Experience with API‑based integrations and SaaS platform connectivity
- Comfortable working independently and presenting technical concepts to non‑technical audiences
- A growth mindset with strong communication and stakeholder management skills
- Must be eligible for UK Security Clearance (SC level)
Why This Role?
- Work across a genuinely varied portfolio, no two engagements are the same
- Contribute to both client delivery and internal product development
- Join a team of subject matter experts in a people‑first culture
- Real career progression
- Hybrid working with flexibility across home, office, and client sites
Data Engineer - Hybrid, Azure & Client Delivery in Bristol employer: Formula.
Join a leading strategy, operations, and digital consultancy in Bristol, where a people-first culture meets hands-on implementation. As a Data Engineer, you'll enjoy a dynamic work environment with opportunities for real impact, career progression, and the chance to collaborate with experts on innovative projects. With hybrid working options and a focus on employee growth, this role offers a unique blend of flexibility and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Hybrid, Azure & Client Delivery in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the company’s projects. We recommend practising common data engineering scenarios and being ready to discuss how you’d tackle real-world problems they face.
✨Tip Number 3
Showcase your work! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing practical examples of your skills, especially when it comes to Azure and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a real impact in the data space.
We think you need these skills to ace Data Engineer - Hybrid, Azure & Client Delivery in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your Azure expertise, SQL skills, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our consultancy's hands-on approach. Let us know what excites you about working with clients and technology.
Showcase Your Projects:If you've worked on interesting data pipelines or automation processes, don’t hold back! Share specific examples in your application that demonstrate your problem-solving skills and technical prowess. We love seeing real-world applications of your work.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Plus, it’s super easy to do!
How to prepare for a job interview at Formula.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, ETL/ELT processes, and Azure services. Be ready to discuss specific projects where you've designed or built data solutions, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Communication Skills
Since you'll be engaging with non-technical stakeholders, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated with clients or team members to ensure everyone is on the same page.
✨Demonstrate Your Agile Experience
Familiarise yourself with Agile methodologies, especially how they apply to data engineering. Be prepared to share your experiences working in Agile teams and how you've contributed to different phases of project delivery.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world challenges. Think about scenarios where you've had to troubleshoot data issues or improve processes, and be ready to discuss your thought process and outcomes.
