Data Engineer

At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.

Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.

In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.

We’re hiring a Data Engineer to join our growing Platform Team and help shape the data foundations behind our products. As our customer base and data volumes grow, you’ll make sure our production data architecture, pipelines and storage remain reliable, scalable and cost-effective.

This is a hands‑on 1role focused on the systems that power our products, rather than internal BI or building a company‑wide data warehouse. You’ll improve data models and database performance, help us choose the right storage and processing tools for each workload, and strengthen data quality and retention practices. Projects could include moving large and non‑operational data out of PostgreSQL, improving pipeline orchestration with Prefect, and evolving our search and analytical capabilities with technologies such as Open Search and column databases.

You’ll bring the experience and judgement to assess our current architecture independently, constructively challenge established practices, identify the most valuable improvements, and take them from proposal through to production. Working closely with product engineers, AI engineers and Dev Ops, you’ll combine practical delivery with longer‑term architectural thinking. Whether you’re an experienced mid‑level engineer ready for broader ownership or already operating at senior level, this is an opportunity to take a dedicated data engineering role with a meaningful impact on how Xelix scales.

At senior level, you’ll lead data architecture decisions across teams and own the roadmap for improving our production data systems.

• Improve our production data architecture.

• Build reliable pipelines with tools such as Prefect.

• Optimise PostgreSQL performance and data models.

• Choose the right storage, search and processing tools.

• Improve data quality and retention practices.

• Deliver changes alongside product, AI and Dev Ops teams.

• Strengthen data access, retention and auditability in partnership with security, compliance and engineering teams.

• Professional experience owning the architecture of production data systems in AWS and their improvements.

• Experience with data access controls, retention and auditability requirements in regulated environments (SOC 1, SOC 2, HIPAA, ISO 27001 or similar).

• Good judgement on storage and processing trade‑offs.

• Clear communication and a hands‑on, collaborative approach. A focus on reliability, data quality and security.

• Strong SQL, PostgreSQL and data modelling skills.

• Experience with No
  
  SQL databases (like MongoDB, Document DB or DynamoDB) and warehousing solutions (like DuckDB, Click House, Redshift)

• Solid Python and data pipeline engineering skills.

• Confidence using AI tools for development, investigation and documentation, with sound judgement about their value and limitations.

What we offer in return

Competitive salary of £50,000-£70,000 depending on experience

27 days…