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# Analytics Engineer

- **Company:** BCB Group
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £40,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Data Warehousing, Python (Programming Language), Technical Data Management Systems, Git, Information Technology, Low-code, Nintex, Programming Languages
- **Published:** October 11, 2026
- **Apply:** https://startup.jobs/analytics-engineer-bcb-group-10379593

## About the Role

* Hands-on experience with Omni
 * 2+ years in an analytics/data role within a Modern Data Stack
 * Hands-on SQL, dbt, and git, * Meticulous with numbers: you check your own work, and when something looks off, you can't leave it alone until you know why
 * Comfortable using AI to streamline work
 * You can explain a technical data problem to a non-technical colleague
 * Comfortable with ambiguity and operating in a small team
 * Can commute to our London office 1-2 days per week

Bonus points for

 * A degree in a relevant field (e.g. Economics, Maths, Computer Science)
 * Python or other programming languages
 * n8n or other low-code automation
 * Payments, banking, fintech or crypto domain knowledge
 * Experience with regulatory or financial reporting
 * Basic statistics

## Description

You'll be the second person in BCB's data function, working directly with the Head of Data & Analytics. You'll own reports and dbt models end-to-end, from source to dashboard, and help move our reporting onto Omni. We run AI-heavy workflows, which means less time on repetitive coding and more time directing and reviewing work, and collaborating on problems that need thinking through.

Stack: BigQuery (GCP), dbt, Omni, n8n, git.

What you'll do

 * Build and maintain dbt models and Omni dashboards
 * Take loosely defined requests from business teams, work out what they actually need, and deliver it
 * Investigate data issues down to the root cause and fix them at the source
 * Write tests and documentation so others can trust your numbers
 * Update and deliver regulatory reports, 1. a technical and behavioural conversation with the Head of Data including live SQL
 2. a session with stakeholders from the teams you would work with
 3. a final, onsite interview with the Head of Data and Chief Technology Officer