About the role

Bellrock Analytics is hiring a data engineer on a fully remote basis. You will build the pipelines that turn raw events into tables the rest of the business is willing to bet on. A pipeline that is fast and quietly wrong is worse than one that is slow, so correctness, lineage and replay are the axes we optimise.

Hiring in the UK means competing with London salaries wherever the role actually sits, so we pay a single national band rather than discounting outside the M25.

What the work actually looks like

The work is a mix of new ingestion, modelling in the warehouse, and the permanent background task of handling late, duplicated and malformed records without silently dropping them. You will own the freshness and quality checks for your domain and be the person analysts ask when a number looks wrong. The role is fully remote within United Kingdom, with a desk in the office for anyone who would rather not work from home.

What we look for

This is a senior individual-contributor role. You will be expected to push back on requirements that do not make sense and to set the technical direction for your part of the product. We want strong SQL, comfort with Python, and experience with an orchestrator in production. Modelling judgement matters more here than knowing a specific vendor: you should be able to explain why a table is shaped the way it is.

Working at Bellrock Analytics

We work UK hours, and we treat the right to disconnect as a policy rather than a slogan. This is a contract engagement and the range shown is a DAY rate, inclusive of the usual contract premium.

Responsibilities

Build and operate ingestion and transformation pipelines end to end
Model warehouse tables that analysts can use without asking what a column means
Handle late, duplicate and malformed records explicitly rather than by accident
Own freshness, volume and quality checks with alerting that is worth reading
Document lineage so a number can be traced back to its source

Requirements

Strong SQL, including window functions and query tuning
Python for data work and for the glue around it
Production experience with Airflow, Dagster or a comparable orchestrator
A cloud warehouse such as BigQuery, Snowflake or Redshift
Comfortable reasoning about idempotent, replayable pipelines

Skills

SQL Python Airflow dbt Spark BigQuery

Benefits

Private medical cover including dental
Pension with a generous employer contribution
25 days holiday plus bank holidays
Cycle-to-work and season-ticket loan schemes

Bellrock Analytics

London201-500 peopleInsurance Technology

Bellrock Analytics prices risk for specialist insurers: marine cargo, renewable energy assets and commercial property in flood-exposed areas. Underwriters use our models to quote in minutes what used to take a week of spreadsheets and phone calls.

We sit in a regulated market, so every model change is versioned, explainable and reproducible years later. If you like the idea that your work has to survive being audited, you will enjoy it here more than most.

The company is based near Aldgate in London with a growing team in Manchester and Edinburgh, and we pay a single national band rather than discounting outside the capital.

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