At a Glance
- Tasks: Lead the design and delivery of cutting-edge data solutions on the Databricks Lakehouse Platform.
- Company: Join Unifeye, a dynamic consultancy at the forefront of data and AI innovation.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and continuous learning opportunities.
- Other info: Collaborate with top industry experts and enjoy a genuine career path in tech leadership.
- Why this job: Make a real impact while shaping the future of data solutions in a high-growth environment.
- Qualifications: 8+ years in engineering with strong Databricks and Apache Spark expertise.
The predicted salary is between 63000 - 77000 £ per year.
About Unifeye
Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI.
We're a lean, high-growth team based in London, working at the intersection of data, technology and business strategy.
We partner with enterprise organisations across industries to solve complex data challenges through modern Lakehouse architectures on Databricks.
Joining Unifeye means more than delivering projects.
From day one, you'll be trusted to take ownership, challenge conventional thinking and make a genuine impact.
With a high degree of autonomy, you'll help shape client outcomes, influence our technical direction and play a key role in the growth of the business.
The Role
We're looking for an experienced Principal Engineer to join our Engineering team and lead the hands-on build and delivery of modern data and AI solutions on the Databricks Lakehouse Platform.
As our most senior individual contributor, you'll set the engineering standard at Unifeye.
You'll work across multiple enterprise engagements, staying deep in the code while partnering with customers to solve complex business challenges alongside architects, engineers and AI specialists.
You'll provide hands-on technical leadership from prototype through to production, helping customers build scalable, secure and governed data platforms that perform at enterprise scale.
Alongside client delivery, you'll raise the bar for how we engineer, mentor colleagues, share knowledge and contribute to the continued growth of Unifeye.
What You'll Do
- Lead the hands-on design, build and optimisation of enterprise data and AI solutions on the Databricks Lakehouse Platform.
- Engineer production-grade Lakehouse implementations using technologies such as Unity Catalog, Delta Live Tables, MLflow and Lakeflow.
- Own the hardest technical problems on an engagement - performance tuning, complex migrations, scale and reliability.
- Set engineering standards for code quality, testing, observability and reusability across delivery teams.
- Build reusable frameworks, accelerators and internal tooling that make every engagement faster and more consistent.
- Translate architectural direction into working, production-ready solutions, and feed engineering reality back into architecture.
- Lead technical workshops, code and design reviews, and deep-dive sessions with customers.
- Support Proof of Concepts and pre-sales engagements with credible, hands-on technical depth.
- Establish best practices for governance, security, CI/CD, Data Ops and MLOps.
- Collaborate closely with Databricks and internal delivery teams.
- Mentor engineers and help grow the consultancy's technical capability.
What We're Looking For
Essential
- 8+ years' hands-on engineering experience delivering enterprise data platforms or analytics solutions.
- Strong commercial experience building and delivering Databricks solutions in production.
- Deep expertise in Apache Spark, including performance tuning and optimisation at scale.
- Expert-level Python and SQL, with a track record of writing production-quality, well-tested code.
- Strong understanding of modern Lakehouse architecture and Unity Catalog.
- Consulting or customer-facing delivery experience.
- Experience with Azure, AWS or GCP.
- Experience implementing CI/CD, testing frameworks and deployment automation.
- Excellent communication and stakeholder management skills.
Desirable
- Databricks certification.
- Experience delivering AI or Generative AI solutions.
- Experience with MLflow, Terraform or Databricks Asset Bundles.
- Experience building reusable frameworks, accelerators or internal platform tooling.
- Previous technical leadership, mentoring or engineering-standards ownership at senior or principal level.
Why Join Unifeye?
We're building a consultancy where talented people can do their best work.
At Unifeye, you'll have the opportunity to solve meaningful problems, work with leading enterprise organisations and collaborate with some of the UK's most experienced Databricks specialists.
As a high-growth business, you'll have the autonomy to make decisions, influence how we work and see the direct impact of your contributions.
We offer
- The opportunity to work exclusively with Databricks technologies.
- High levels of ownership and autonomy from day one.
- A genuine principal-level technical career path, depth and influence without stepping away from the tools.
- The chance to make a real impact on clients and the growth of the business.
- Close collaboration with Databricks teams.
- Continuous learning, certification and career development.
- Competitive salary, bonus, generous benefits and flexible hybrid working.
If you're passionate about building modern data platforms, enjoy solving complex technical challenges and want to help shape a fast-growing consultancy, we'd love to hear from you.
Principal Engineer in London employer: Unifeye Ltd
Unifeye is an exceptional employer that empowers its Data Engineers to take ownership and drive impactful solutions from day one. With a focus on continuous learning and collaboration with top Databricks specialists, employees enjoy a dynamic work culture that fosters innovation and personal growth. Located in London, Unifeye offers competitive salaries, generous benefits, and the flexibility of hybrid working, making it an ideal place for those looking to thrive in the data consultancy space.
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We think this is how you could land Principal Engineer in London
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We think you need these skills to ace Principal Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Unifeye Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Unifeye Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Unifeye Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Unifeye Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.