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# Senior Data Engineer

- **Company:** urban
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £70,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Database Queries, DevOps, Python (Programming Language), Operational Databases, Power BI, Cloud Services, Software Engineering, Transaction Data, Data Processing, Data Ingestion, Snowflake, Information Technology, Tools for Reporting, Stream Processing, Data Pipelines, Databricks
- **Published:** July 24, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=3c92e1328c7ee755

## About the Role

* Bachelor's degree in Computer Science, Data/Software Engineering or related discipline
 * 5+ years hands-on data engineering experience delivering scalable, production-grade platforms
 * Strong SQL skills and proven experience designing and optimising data pipelines and warehouse schemas
 * Strong Python proficiency for production data engineering
 * Track record implementing data quality, observability and testing practices
 * Solid experience with at least one cloud provider (Azure, AWS or GCP)
 * Experience with CI/CD, infrastructure-as-code and containerised environments
 * Familiarity with modern data stack tools such as Databricks, Snowflake or Redshift
 * Experience with reporting tools such as Power BI

Bonus

 * Experience in large-scale regulated data environments
 * DevOps for data, platform engineering or real-time data streaming
 * Background in high-growth, product-led environments

## Description

A high-growth fintech business is looking for a Senior Data Engineer to join their Data Science and Engineering team. You will play a key role in designing and delivering scalable, production-ready analytical solutions that turn complex transactional data into meaningful insights.

You will own and improve the systems that ingest, transform and serve large-scale datasets, working closely with data science and product teams to produce measurable engineering outcomes.

Responsibilities

 * Design, build and operate data ingestion and ETL/ELT pipelines powering analytics and customer-facing applications
 * Build and maintain data platform architecture including pipelines, warehouses and reporting infrastructure
 * Implement data modelling, schema design and data contracts to make datasets easy to consume
 * Introduce and maintain observability, data quality checks and automated testing for production data flows
 * Collaborate with product managers and cross-functional teams to translate customer needs into data-driven solutions
 * Optimise performance and cost of data processing and storage across cloud services
 * Communicate technical findings clearly to both technical and non-technical stakeholders


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