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# Data Engineer

- **Company:** The Recruiter Ltd
- **Location:** London, UK (Remote available)
- **Salary:** £62,661.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Automation of Tests, Continuous Integration, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Systems, Github, Python (Programming Language), Node.Js, Standard Sql, Software Engineering, Unstructured Data, Data Processing, Test-Driven Development (TDD), Snowflake, Kotlin, Data Management, Terraform, Data Pipelines, Jenkins
- **Published:** September 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5885137497

## About the Role

As a Data Engineer, you're comfortable working with complex data and systems, and you take a structured, delivery-focused approach. You're naturally curious, enjoy solving problems and are motivated by delivering outcomes that make a difference. You communicate clearly, work collaboratively within agile teams, and can translate technical concepts into meaningful business outcomes. To be shortlisted, you need to offer…

 * Experience building and maintaining data pipelines and scalable data products using structured and unstructured data
 * Strong knowledge of SQL, ideally within a Snowflake environment
 * Experience with at least one server-side language such as Python, Java, Kotlin or NodeJS
 * Knowledge of event-driven, loosely coupled architectures and data processing patterns
 * Experience working with CI/CD tools such as Jenkins, GitHub or Terraform
 * Experience applying test driven development or behaviour driven development approaches
 * Experience with automated testing techniques within data or software engineering environments
 * Ability to translate complex data concepts to non-technical stakeholders

## Description

* Building and maintaining scalable data products that deliver insight across finance systems
 * Designing and optimising ETL processes to ensure data integrity and performance
 * Collaborating with engineers, analysts, and business teams to define and deliver data solutions
 * Contributing to agile delivery, including planning, retrospectives, and continuous improvement
 * Supporting the operational performance, monitoring, and reliability of data platforms
 * Working with large and complex datasets to support financial reporting, analysis and decision-making
 * Helping to evolve data engineering practices and identify opportunities to improve data quality, efficiency and business value


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