Data Engineer - Platform

Xelix; Greater London; Ibrido; GBP 50.000 - 70.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working

Dog-friendly Hoxton office

Private medical & dental cover

Learning budget

Annual team retreat

Descrizione del lavoro

Xelix is looking for a Data Engineer to join our Platform Team and shape the data foundations behind our AI-enabled financial controls products. You will own production data architecture, optimize pipelines and storage, and partner with product, AI and DevOps to deliver scalable, reliable systems.

As a senior/experienced contributor, you’ll drive architectural decisions, improve data quality, and help evolve our search and analytics capabilities using OpenSearch and columnar stores, while

Competenze

• Experience owning the architecture of production data systems on AWS.
• Experience with data access controls, retention and auditability in regulated environments.
• Strong SQL, PostgreSQL and data modelling skills.
• Solid Python and data pipeline engineering skills.
• Ability to balance reliability, data quality and security.

Mansioni

• Improve production data architecture and data models.
• Build reliable pipelines with Prefect.
• Optimise PostgreSQL performance and data models.
• Choose appropriate storage, search and processing tools.
• Improve data quality and retention practices.
• Deliver changes with product, AI and DevOps teams.
• Ensure data access, retention and auditability with security teams.

Conoscenze

Data architecture ownership

AWS data services

PostgreSQL

NoSQL databases

Python

Data modelling

Data quality

Security/compliance awareness

Strumenti

Prefect

OpenSearch

DuckDB

ClickHouse

Redshift

Descrizione del lavoro

About us

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.

About the role

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 OpenSearch 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 DevOps, 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.

What you’ll be doing

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

What you’ll bring

• 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 NoSQL databases (like MongoDB, DocumentDB or DynamoDB) and warehousing solutions (like DuckDB, ClickHouse, 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 of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
• Hybrid working with one day a week from our dog‑friendly Hoxton office and on‑site gym
• Comprehensive private medical & dental cover with Vitality
• Enhanced parental leave pay
• Learning & development culture – £1,000 personal annual budget
• We’re carbon‑neutral and are working towards ambitious carbon reduction goals
• Lots of team socials & activities
• Annual team retreat

Want to learn more?

• About us
• Xelix blog
• Xelix news
• Xelix glassdoor

We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!

If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.

This is a full‑time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.

Interview Process

While the exact process may vary slightly depending on the role, our typical interview stages are:

1. Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
2. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team.
3. Technical Task or Presentation – A role‑relevant exercise to demonstrate your skills and approach.
4. Final On‑site Interview – An in‑person meeting with our senior leadership team and co‑founders at our office.

We strive to make the process clear, efficient, and respectful of your time.

We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.