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# Data Engineer

- **Company:** developrec
- **Location:** Newcastle upon Tyne, UK
- **Experience:** Experienced
- **Salary:** £33,000.0 - £73,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Integrity, Data Systems, Software Debugging, Python (Programming Language), Operational Databases, Standard Sql, SQL Databases, Git, Build Management, Data Management, Software Version Control, Data Pipelines, Service Stack
- **Published:** September 20, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5890530371

## About the Role

* We are looking for at least 4 years of commercial engineering experience with a strong grounding in data engineering.
 * We would ideally like experience with Python, SQL, and AWS, Azure, or GCP.
 * We are looking for experience building production data pipelines.
 * We would ideally like experience with data modelling and data platforms.
 * We would ideally like experience with Git.
 * We would ideally like experience with Airflow or similar orchestration technologies.
 * We would ideally like experience testing, debugging, and improving data reliability.
 * We are particularly interested in engineers who have worked in consultancy, professional services, or other client-facing technical environments.
 * We are looking for someone who is technically strong and comfortable communicating with stakeholders.

## Description

* We design and build scalable data pipelines.
 * We develop data platforms and integrations.
 * We work with Python, SQL, and modern cloud technologies.
 * We improve data quality, reliability, and accessibility.
 * We test, troubleshoot, and improve existing platforms.
 * We work with orchestration and version-control tooling.
 * We understand client requirements and translate them into technical solutions.
 * We work within different technology stacks depending on the project.
 * We collaborate closely with software, data, and wider engineering teams.
 * We work across the data engineering lifecycle, designing and building reliable data solutions while working directly with technical and non-technical stakeholders.
 * We take ownership of delivering the right solution and communicating with the people using the technology.

Technologies:

 * Airflow
 * AWS
 * Azure
 * Cloud
 * Embedded
 * GCP
 * Git
 * Python
 * SQL
 * Support


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