At a Glance
- Tasks: Design and build scalable data pipelines while co-owning the architecture of our data platform.
- Company: Join Chip, a fast-growing fintech startup revolutionising wealth management.
- Benefits: Enjoy a competitive salary, flexible working, and a range of health and wellness perks.
- Other info: Be part of a diverse team that values collaboration and personal growth.
- Why this job: Make a real impact in a dynamic environment while advancing your career in data engineering.
- Qualifications: Experience in data engineering, Databricks, and strong coding skills in Python, SQL, and Git.
The predicted salary is between 80000 - 80000 £ per year.
As a Senior Data Engineer at Chip, you'll help bring our data platform to the next level and empower Chip to be a truly data-driven business. You'll co-own the architecture of our data platform alongside our Analytics Engineer — not just implementing designs, but making the calls on how ingestion, modelling, and the semantic layer should actually work. You'll also provide technical leadership across the wider data engineering team as we grow.
What you can expect to be doing:
- Architecture & Pipeline Design
- Design, build, and run scalable, secure data pipelines across multiple sources — with an eye on compute sizing and query performance.
- Co-own architecture decisions across ingestion, modelling, and the presentation layer — defining how the platform should work, not just building to spec.
- Design and evolve our medallion architecture (Bronze, Silver, Gold) as the platform matures.
- Engineering Standards
- Define more detailed engineering standards — naming conventions, partitioning, testing strategy, contract templates.
- Apply Databricks best practices and Infrastructure as Code across the platform.
- Data Governance
- Own governance patterns in Unity Catalog — permissions, access models, and how we handle sensitive data.
- Set technical governance standards the rest of the team builds against.
- Enablement & Self-Service
- Enable downstream consumers with self-service patterns, so the data team isn't the bottleneck for every request.
- Technical Leadership & Mentoring
- Provide technical leadership across the data engineering team — mentoring other engineers, reviewing code, and raising the engineering bar.
What we’re looking for:
- Data engineering: You've built and scaled complex data products in a growing environment — you've seen platforms mature past their early ad hoc stage and know what that evolution actually takes.
- Databricks expertise: Deep, hands-on knowledge of the Databricks platform end to end — workspace and compute configuration, governance, orchestration, user management, engineering best practices.
- Data modelling: You're comfortable designing schemas and data models, including medallion architecture and Kimball/Star Schema concepts (Fact and Dimension tables), from the ground up.
- Git: You're fluent in Git workflows — branching, troubleshooting, code reviews.
- Python/PySpark/SQL: You write clean, efficient code across all three, and you understand how it performs at scale.
- Database management: Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB), with a solid grounding in database fundamentals — indexing, performance, design trade-offs.
- Terraform: You have experience in managing infrastructure as code with Terraform.
- Mentoring: You've supported and grown less experienced engineers before, and enjoy doing it.
- Architecture ownership: You design systems, not just implement them — you can reason through trade-offs and defend a decision.
- Data governance: You understand PII handling and governance patterns, and build them into your designs by default.
Nice to have:
- Previous experience in fintech.
- Experience re-architecting a data platform from the ground up.
- Experience building and training AI/ML models.
- Databricks Certified Data Engineer Professional (or equivalent).
- Proficiency in building streaming data processing systems.
- Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP).
What we’re really looking for:
We’re looking for someone who’s genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone. We work in a regulated space, so the bar is high. But we’ve built a team of smart, thoughtful people who care about doing great work and enjoy doing it together. Technical skills matter, obviously. But they’re not the only thing we hire for. We want real people. People with interests, perspective and personality. The best teams are made up of individuals who bring different experiences into the room, not just polished CVs and good interview answers. So alongside the technical side, we’ll be looking for empathy, self-awareness, sound judgement, resilience and a collaborative mindset. People who are good to work with, especially when things get hard.
Working Hours
Monday to Thursday: 9:00 AM – 6:00 PM
Friday: 8:00 AM – 4:00 PM (Start your weekend early!)
Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend!
PERKS
- £70,000 - £80,000 per annum.
- Discretionary Performance-Related Annual Bonus.
- Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000.
- Private medical insurance (medical history disregarded).
- Employee Assistance Programme.
- Cycle to work scheme.
- Season ticket loan.
- Free ChipX subscription for UK-based employees.
- Flexible working arrangements.
- 28 days holiday plus bank holidays, plus the days between Christmas and New Year.
- Annual training budget for courses, workshops, or conferences to help you advance your career.
- £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing.
- Company laptop.
- Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup.
Our Interview Process:
- Video screen with someone from our Talent team.
- Video interview with the hiring manager.
- Final interview with VP of Engineering.
We're committed to making our recruitment process accessible to everyone. If you require any reasonable adjustments at any stage of the application or interview process, please let us know at daniel.bowling@getchip.uk and we'll be happy to accommodate.
About Chip
Chip’s mission is to make your life wealthy. We're building the wealth super app of the future. An app to build your long-term wealth across savings, investments and pensions. We use technology to break down barriers so users can invest like the ultra-wealthy, giving them one simple place to manage, grow and protect their wealth. The Sunday Times listed Chip as the 6th fastest growing tech company in Britain… and we're not slowing down. Chip serves over 400,000 active customers and looks after over £6 billion in assets. These customers trust us to build the most amazing product we can, so working at Chip comes with real purpose.
Chip is being built by a fast-growing team of designers, developers, customer service professionals, marketers, banking experts, and entrepreneurs. Our funding story though is a little different. Chip is one of the most crowd-funded businesses in Europe, having raised over £50 million from 29,000 investors, over 9 years. Crowdfunding is in our DNA and only Brewdog has more investors than Chip.
Our vision
To be the most personal digital wealth manager in the UK.
Who we are
Chip has a creative and diverse team of 180, from all different backgrounds and industries. We’re driven and passionate people, but no one takes themselves too seriously. Don’t just take our word for it. We have a few awards under our belt, including Best Personal Finance App at the 2022, 2024 & 2025 British Bank Awards.
Our Values
- Be ACCOUNTABLE - Everything you do matters, Care about the end result, Challenge the norm, Disagree, yet commit to making it happen once a decision has been made, Do the best job possible.
- Be BOLD - Share our Ambition and do your bit to achieve it, Innovate: challenge the norm, break the mould and make it happen, Set goals that truly align with our mission, Do your best for our customers.
- Be COLLABORATIVE - Work cross-functionally - we win as a team, Build strong relationships based on trust, Treat others fairly and respectfully, Hold others to account, Be supportive and inclusive, Have fun together.
Equal Opportunities
We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and home life. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.
Note to Agencies
Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. Chip will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. Chip explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited CVs, including those submitted to hiring managers, are deemed to be the property of Chip.
Senior Data Engineer (Remote within the UK) in London employer: Chip
Join a dynamic and supportive team as a Remote Customer Support Executive, where your passion for customer care will be valued and nurtured. With flexible working hours and a focus on employee well-being, we offer a competitive salary, performance-related bonuses, and a workplace pension scheme to help you secure your future. Embrace the opportunity to grow within a fast-paced, innovative company that celebrates individuality and fosters a positive work culture, all from the comfort of your home in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Remote within the UK) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Chip!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer (Remote within the UK) at Chip.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Chip.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer (Remote within the UK) at Chip, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer (Remote within the UK) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Chip, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Chip. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Chip
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Chip!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
