Staff Engineer, Data

🕒 May 26

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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👻 Ghost score 44%

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Logo of Arbor Education

Arbor Education

51 - 200 employees

📚 Education

🤝 B2B

💰 Private Equity Round on 2020-12

Education • B2B • Software

Arbor Education is a rapidly expanding company dedicated to transforming the way schools operate by freeing staff from administrative tasks and enhancing collaboration. Utilizing a Management Information System (MIS), Arbor Education provides tools to improve school processes and educational outcomes for over 5,000 schools. Their mission-driven team, consisting of ex-teachers, education technology engineers, and specialists, is passionate about providing effective solutions to improve the educational sector. Founded in 2011, Arbor Education is driven by a commitment to innovation and the well-being of teachers and students, along with a dedication to diversity and inclusion in its workforce.

📋 Description

• Lead and drive technical direction across Arbor’s product suite, data platform, and AI/agentic features • Own Data domain architecture across OLAP, OLTP, and foundations for AI products • Define and evangelise target architectures spanning transactional, analytical, and AI systems • Lead the end-to-end data lifecycle, from OLTP schema design and migrations to OLAP governance, platform, and analytics • Provide hands-on architectural guidance to Technical Leads for feature delivery, technical debt reduction, and architecture improvements • Collaborate with Product Directors to translate product vision into deliverables and align commercial and engineering goals • Lead Arbor’s transition to AI-first working and architect data foundations for AI-enabled products • Architect infrastructure for LLM orchestration, Retrieval-Augmented Generation, and real-time model inference at scale • Mentor and coach Technical Leads and Senior Engineers on architectural and engineering excellence • Model technical leadership with pace, pragmatism, and focus on outcomes • Head architectural reviews and ensure designs meet quality, reliability, security, and compliance standards • Collaborate with Staff and Principal Engineers on broader technology strategy • Partner with Engineering Management to grow teams and resolve systemic bottlenecks

🎯 Requirements

• Extensive experience overseeing data architecture and delivering iterative outcomes across one or more OLAP domains • Strong understanding of data modelling techniques, including Star and Medallion, and distributed data systems in cloud-native environments such as Snowflake • Experience building and leveraging unstructured data across disparate systems for product development • Demonstrated communication and influencing across technical and non-technical audiences • Ability to support the growth of engineers and technical leads across distributed, cross-functional teams • Experience in an ownership culture where quality, performance, observability, and security are core engineering responsibilities • Understanding and opinion on AI-first engineering’s impact on the data ecosystem and ways of working, ideally with worked examples • Experience contributing to or leading technical communities of practice, such as chapters, guilds, or architecture councils • Practical knowledge of DataOps, including CI/CD for data and orchestration of complex pipelines • Knowledge of AWS, Debezium, Git, and Infrastructure as Code • Commercial knowledge of data security standards, encryption at rest and in transit, and relevant compliance laws • Experience optimising SaaS platform spend and using forecasting models • Bonus: AI/ML Engineering and MLOps, including model deployment/serving and monitoring • Bonus: Experience with federated learning and/or privacy-enhancing technologies • Bonus: Direct experience with LLM Ops, prompt engineering at scale, and token cost optimisation • Must be able to work without visa sponsorship; Arbor is unable to provide visa sponsorship

🏖️ Benefits

• Dedicated wellbeing team and wellbeing initiatives including mindfulness, lunch n learns, manager training, and mental health first aid training • 32 days holiday plus Bank Holidays (25 days annual leave plus 7 extra company-wide days) • Life Assurance paid out at 3x annual salary • Comprehensive wellness benefit via AIG Smart Health, including 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 leave (6 weeks full pay) • 5 free return to work maternity coaching sessions • Access to Calm and Bippit financial wellbeing coaching • Flexible working • Social committees and team, office, and company-wide events • Dedicated professional development training budget, including CPD courses, upskilling resources, and professional memberships • One paid volunteer day each year • Dog friendly offices • Referral voucher valued up to £200 if a referred candidate is hired

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