Senior Data Engineer (18 Months Fixed Term Contract)

At the heart of Paxton, we are innovators, looking for ways to harness new technology to provide better solutions for our customers. We're a global brand with nearly 40 years of experience, and our team of over 400 employees is spread around the world. We pride ourselves on creating a vibrant environment, with a focus on excellent company culture.

Our teams make Paxton a great place to work with brilliant benefits that come with any role at Paxton, emphasising career progression, training and development, and recognition of achievement for every employee.

So, what are the benefits?

• We run a great social calendar with wine tasting, cooking classes, onsite yoga, staff parties, monthly internal events and more.
• Hybrid working, work from home on Tuesday and Thursdays alongside our flexible working hours scheme.
• Private medical insurance (Opt in) and healthcare cash-back plan with Health Shield.
• Join a Carbon Neutral company; Paxton is Carbon Neutral in the UK, France, Germany & South Africa!
• Modern offices, collaboration spaces, onsite mini-gym, and a gourmet café with subsidised food.
• Discounted fitness memberships up to 75% off in your area with GymFlex.
• Get involved with collaborative internal groups like our Green Team, EDI Team and the Charity Team.
• Tech, bike, and travel or season ticket loans.
• 25-days holiday plus bank holidays, and you can buy & sell up to 5 days a year.
• Recognised as one of the Best Companies to Work for in the UK, by Best Companies.

About the role

Based in our Brighton office, you'll play a key role in strengthening Paxton's data platform so that it can reliably support Microsoft Dynamics 365, operational reporting, and wider strategic analytics needs. You'll build on existing ERP integration patterns and SQL standards to scale, stabilise, and improve data flows between ERP and the wider data estate, while improving resilience and reducing single points of failure.

Key responsibilities include:

• Build upon, enhance, and maintain data integrations between D365 F&O and the wider data platform in line with established architecture and SQL standards.
• Develop and maintain robust, scalable, and reliable data pipelines supporting operational and analytical workloads.
• Improve the reliability, performance, and resilience of existing data pipelines, integrations, and supporting platform components.
• Identify and reduce technical debt, platform fragility, and single-point dependencies that create operational risk.
• Improve observability, monitoring, alerting, and error handling across critical data flows and systems.
• Support ERP-related data migration, post-go-live integration, and ongoing operational data requirements as needed.
• Produce and maintain clear technical documentation, operational runbooks, and knowledge-sharing materials.
• Contribute to the development and refinement of engineering standards, reusable patterns, and best practices across the team.
• Work closely with stakeholders across the business to ensure data solutions meet business and operational needs.
• Support the resolution of complex or high-impact engineering issues, helping improve the team's overall support model and platform stability.
• Mentor and support other Data Engineering team members, encouraging stronger ownership, technical judgement, and maintainable engineering practices.
• Contribute to the longer-term evolution of the data platform, ensuring immediate delivery needs remain aligned with strategic architecture and scalability goals.

What can you expect from this role?

• A key role strengthening a data platform underpinning D365 integration, operational reporting, and analytics.
• A focus on improving resilience, observability, and platform stability while reducing operational risk and technical debt.
• The opportunity to influence standards, documentation, and engineering ways of working within a growing Data & Analytics function.

What are we looking for?

• Experience in data engineering, database engineering, or similar roles, building and maintaining production data pipelines and integrations.
• Strong SQL and data modelling skills, with the ability to troubleshoot complex issues methodically.
• Experience working with relational databases and structured ETL/ELT processes in a business environment.
• Strong communication skills, able to explain technical concepts clearly to technical and non-technical audiences.
• A pragmatic, collaborative approach with a strong sense of ownership and accountability.

The right attitude is more important to us than your skills or experience. If you're excited about a role but your existing experience doesn't match up with every element of the job description, we encourage you to apply anyway. We want to collaborate with you and hear your ideas; most of all, we want people to enjoy the journey with us.