Staff Engineer (Data)

Staff Engineer (Data)

Full-Time 63000 - 77000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead the technical direction for data architecture and AI systems in education.
  • Company: Join Arbor, a mission-driven tech company transforming schools for the better.
  • Benefits: Enjoy 32 days holiday, wellness support, and flexible working options.
  • Other info: Collaborative culture with opportunities for professional growth and community involvement.
  • Why this job: Make a real impact on education while working with cutting-edge technology.
  • Qualifications: Extensive experience in data architecture and strong leadership skills required.

The predicted salary is between 63000 - 77000 £ per year.

Location: Remote

About Us

At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education every day: the staff. We want to make schools more joyful places to work, as well as learn.

About the role

Arbor has a large product suite serving thousands of schools, a data platform sitting underneath them all, and a growing set of AI/agentic features that depend on all this being right. We need a Staff Engineer to lead and drive the technical direction across all three. You'll own architecture for the Data domain, spanning OLAP, OLTP and the foundations our AI products run on. You'll set direction for teams you don't manage whilst supporting R&D’s rapid evolution to AI-native. Expect to spend as much time getting Leads and Product Directors bought into an approach as you spend designing it.

You're the right fit if you:

  • Have set architectural direction across 3 or more teams, not one or two
  • Can demonstrate excellent commercial and customer understanding alongside strong technical foundations
  • Have real depth in more than one data discipline (platform, analytics, science or AI) and are honest about the ones you don't
  • Have worked in product-led scale ups or been through major transformations, where success takes tenacity and high energy

This isn't for you if you:

  • Want a role shipping code. The job is technical strategic direction and coaching
  • Have spent your career in a single data discipline or one layer of the stack
  • Design, document and hand over. You own whether we deliver, not the diagram
  • Only enjoy the technical side of the role. You'll be in the room with product and commercial constantly

Core responsibilities

  • Define and evangelise target architectures that bridge our transactional, analytical, and AI systems, ensuring our data remains a competitive advantage.
  • Be a leader for our end-to-end data lifecycle, from OLTP schema design and migrations to OLAP governance, platform and analytics.
  • Partner with Technical Leads to provide hands-on guidance supporting feature delivery, tech debt paydown, and architecture improvements. (Hands-on for this role means staying close to the details but not necessarily coding)
  • Collaborate with Product Directors to understand product vision and translate this into deliverables, aligning commercial and engineering goals.
  • Lead our shift to an AI-First way of working, architecting the data foundations to enable AI in our products and championing the latest approaches to help drive productivity gains.
  • Architect the future infrastructure required for LLM orchestration, Retrieval-Augmented Generation (RAG), and real-time model inference at scale.
  • Mentor and coach Technical Leads/Senior Engineers on architectural and engineering excellence, continually raising our bar and supporting career growth.
  • Act as a role model for technical leadership — work with pace, be pragmatic, and stay laser focused on outcomes not output.
  • Head up architectural reviews for your domain and ensure all designs meet Arbor’s quality, reliability, security and compliance standards.
  • Collaborate with Staff Engineers and Principal Engineers to shape Arbor’s broader technology strategy, working outside your domain as needed.
  • Partner with Engineering Management to help grow teams, identify and resolve systemic bottlenecks, ensuring the success of our strategic goals.

Requirements

About you

  • Extensive experience overseeing data architecture and a track record of delivering iterative outcomes across one or more OLAP domains.
  • Strong understanding of data modelling techniques (Star, Medallion, etc) and distributed data systems within cloud-native environments (Snowflake, etc).
  • Experience in building and leveraging unstructured data across disparate systems to enable product development.
  • Examples of communication and influencing across technical and non-technical audiences to achieve positive outcomes.
  • An ability to support the growth of engineers and technical leads whilst still delivering value across distributed, cross-functional teams.
  • Demonstrable experience working in an ownership culture where quality, performance, observability, and security are core responsibilities for every engineer.
  • An understanding and opinion on how AI-first engineering will change the data ecosystem and ways of working, ideally with worked examples.
  • Examples of contributing to or leading technical communities of practice (e.g. chapters, guilds, architecture councils).
  • Practical knowledge of DataOps principles, including CI/CD for data and the orchestration of complex pipelines (e.g., AWS, Debezium, Git, Infra as Code).
  • Good commercial knowledge of data security standards, encryption at rest/transit, and relevant compliance laws.
  • Platform financial acumen - demonstrable experience of optimising SaaS platform spend, and the use of forecasting models.

Bonus Skills

  • AI/ML Engineering & MLOps, including model deployment/serving and monitoring.
  • Experience with federated learning and/or privacy-enhancing technologies (PETs).
  • Direct experience with LLM Ops, including prompt engineering at scale, and token cost optimisation.

Benefits

What we offer

  • The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work every day.
  • A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!
  • 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas.
  • Life Assurance paid out at 3x annual salary.
  • Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks.
  • Private Dental Insurance with Bupa.
  • Salary sacrifice Pension provided by Scottish Widows.
  • Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay.
  • 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!
  • Access to services such as Calm and Bippit (financial wellbeing coaching).
  • All of our roles champion flexible working and we are happy to discuss what this means to you.
  • Social committees that plan team, office and company wide events to bring people together and celebrate success.
  • Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc).
  • Volunteer with a charity of your choice for a day each year.
  • Dog friendly offices!

Interview process

  • Phone screen
  • 1st stage
  • 2nd stage

We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at careers@arbor-education.com. Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice.

Arbor Education is an equal opportunities organisation. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds.

Refer a friend

Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: careers@arbor-education.com

Please note: We are unable to provide visa sponsorship at this time.

Staff Engineer (Data) employer: Arbor Education

Arbor Education is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the education sector. With a strong commitment to employee growth, we provide ample opportunities for professional development and engagement in meaningful policy discussions that shape the future of education. Located at the heart of the educational landscape, our team enjoys a supportive environment where data-driven insights lead to impactful change.

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Contact Details:

Arbor Education Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Engineer (Data)

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Arbor Education or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Arbor Education.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Arbor Education.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Arbor Education that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Staff Engineer (Data)

Data Architecture
OLAP
OLTP
AI Engineering
Data Modelling Techniques
Cloud-Native Environments
DataOps Principles

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 Arbor Education.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Arbor Education 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 Arbor Education

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 Arbor Education 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.