Data Engineer - BI/Data

Xelix; Royal Borough of Greenwich; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Competitive salary

Annual leave

Hybrid work

Private medical & dental

Parental leave

Learning budget

Carbon-neutral

Team socials

Job summary

Xelix in London is hiring a Data Engineer to join our new BI / Data team. You will build the data platform from the ground up: pipelines, data lake and Snowflake warehouse, enabling analytics and AI-driven insights.

You will work closely with the Platform Team to bring data together for analytics, reporting and AI. The role offers a hybrid work model, competitive salary, and strong growth opportunities.

Qualifications

• Production data pipelines into a cloud data warehouse (Snowflake preferred).
• AI-native: use AI coding agents daily for pipelines, SQL, tests and infra code.
• Strong SQL and Python; experience with dbt and managed ingestion tools such as Fivetran or Airbyte.
• Hands-on Postgres experience, including replication or change data capture.
• AWS experience (S3, RDS, IAM) and infrastructure as code.
• Security-minded approach to sensitive financial data: access controls, retention and auditability.

Responsibilities

• Build and run ingestion from platform databases and business tools into the data lake and Snowflake warehouse, with initial sources live within six weeks.
• Work AI-native from day one: AI coding agents write, test and document pipelines, checks and infrastructure code.
• Set up change data capture from Postgres replicas, so analytics never touches production.
• Own reliability, monitoring, data quality checks and cost control for the data platform.
• Collaborate with Platform Team on data contracts and access to production data.
• Build datasets with AI Engineering for model evaluation and processing accuracy.

Job description

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 are now hiring for a Data Engineer to join our new BI / Data team. This role is an exciting opportunity to build Xelix's data platform from the start: the pipelines, data lake and Snowflake warehouse that become the company's single source of truth, built AI-native so a small team delivers in weeks what used to take quarters. You'll work alongside the Data Engineer in our Platform Team, who focuses on our production data systems, while you focus on bringing data together for analytics, reporting and AI. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is a chance to shape a new team from its first day.

What you'll be doing

• Build and run ingestion from our platform databases and business tools (HubSpot, Xero, Intercom, Gong and more) into our data lake and Snowflake warehouse, with a first version of the priority sources live within your first six weeks




• Work AI-native from day one: AI coding agents write, test and document pipelines, checks and infrastructure code, while you own design, review and reliability




• Set up change data capture from Postgres read replicas, so analytics never touches production




• Own reliability, monitoring, data quality checks and cost control for the data platform




• Work with our Platform Team on data contracts and access to production data, so analytics needs are designed in rather than bolted on




• Build datasets with AI Engineering for model evaluation and measuring processing accuracy

What you’ll bring

• Solid experience as a data engineer, building production pipelines into a cloud data warehouse (Snowflake preferred)




• You already work AI-native: you use AI coding agents daily for pipelines, SQL, tests and infrastructure code, can show how it changed your speed, and know how to verify what they produce




• Strong SQL and Python, plus experience with dbt and a managed ingestion tool such as Fivetran or Airbyte




• Hands-on Postgres experience, including replication or change data capture




• AWS experience (S3, RDS, IAM) and infrastructure as code




• A security-minded approach to sensitive financial data: access controls, retention and auditability

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!

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

Interview Process

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 – 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.