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# Data Engineer

- **Company:** Transform
- **Location:** London, UK
- **Salary:** £48,690.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Logic, Microsoft Azure, Code Review, Continuous Integration, Data Architecture, Data Security, Data Systems, Data Warehousing, Python (Programming Language), Operational Databases, Standard Sql, Cloud Platform System, Software Version Control, Data Pipelines, Databricks
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5952801423

## About the Role

* Strong SQL and Python skills
 * Experience working with production data pipelines and modern data tooling
 * Good understanding of data modelling, data warehousing, and data quality principles
 * Familiarity with at least one cloud platform such as Azure or AWS
 * Working knowledge of CI/CD, version control, and testing practices
 * Strong problem-solving and communication skills

Desirable Skills:

 * Experience with tools such as Databricks, Data Factory, Fabric, Airflow, DBT, or equivalent
 * Experience working with structured and semi-structured data sources
 * Understanding of data security, governance, and compliance requirements

## Description

The Data Engineer is responsible for building, maintaining, and improving reliable data solutions within an agile delivery team. You will develop data pipelines and transformations that support business intelligence, reporting, analytics, and emerging AI-driven use cases.

Working closely with senior engineers, analysts, product owners, and business stakeholders, you will translate requirements into maintainable technical solutions and contribute to the continuous improvement of team delivery standards.

We are looking for individuals who bring a growth mindset and a passion for continuous learning. You will be curious about emerging technologies, particularly within the AI and data landscape, and proactive in identifying opportunities to innovate and improve delivery.

 * Build and maintain data pipelines, transformations, and supporting processes
 * Implement business logic and data models to meet agreed requirements
 * Contribute to code reviews, testing, deployment, and operational support
 * Diagnose and resolve data quality and pipeline issues
 * Collaborate effectively within agile, cross-functional delivery teams
 * Document solutions and contribute to shared engineering standards