• Develop, test, and deploy code for prototypes and new product features. • Collaborate with team members to solve technical challenges and improve solution design. • Participate in code reviews, documentation, and team knowledge sharing. • Experiment with modern tools, frameworks, and emerging technologies. • Adapt to evolving requirements and provide input on process improvements.

Role Description As a Principal/Staff Engineer (Data) you will help drive architecture and technical strategy for our Data domain, spanning the entire journey from transactional source to analytical insight. You will evolve how data is leveraged across Arbor, delivering value that ensures our OLAP and AI capabilities provide a competitive edge and our OLTP foundations are built for scale. It’s a wide impacting and exciting role, crucial for Arbor's next stage of growth. We’re looking for candidates who are highly collaborative, energised by complex problems, and have a proactive approach. You will work collaboratively with multiple teams, Technical Leads, Product Directors, and Engineering Leadership to deliver strategic business objectives, all while reimagining ways of working to ensure we stay at the forefront of the industry’s AI evolution. 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. - 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. Qualifications - 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 - The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. - 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 Company Description 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.

• Design, build, and scale AI-driven systems that power our virtual agent capabilities, including conversational reasoning, retrieval systems, tool calling, and automation workflows; • Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems, and third-party platforms) to support real-time decision-making; • Build and deploy AI agents that solve real-world business problems; • Own architecture decisions for distributed, high-performance AI applications; • Continuously improve model performance, reliability, observability, and evaluation frameworks; • Help define engineering best practices and contribute to technical direction across the team.

• Design, develop, and maintain software applications with moderate complexity using programming languages such as Python, Java, or C++. • Implement software solutions that align with DoD standards, security protocols, and mission-critical requirements. • Optimize software performance and scalability through advanced problem-solving and technical expertise. • Develop and execute test plans to validate software functionality and performance. • Identify and resolve software defects, ensuring systems meet operational requirements. • Conduct code reviews and provide constructive feedback to team members to ensure quality and consistency. • Lead small teams on low-complexity project activities, providing technical guidance and support. • Collaborate with Program and Project Managers to ensure successful delivery of technical solutions. • Take ownership of assigned tasks, ensuring timely delivery and adherence to project requirements. • Work closely with cross-functional teams, including systems engineers, cybersecurity specialists, and project managers, to define and refine project requirements. • Develop and maintain detailed technical documentation, including system designs, workflows, and test plans.