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# Data Engineer

- **Company:** Experis
- **Location:** Newcastle upon Tyne, UK
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, Data Systems, DevOps, Distributed Systems, Python (Programming Language), Standard Sql, Software Construction, Workflow Management Systems, Apache Spark, Infrastructure Automation Frameworks, Information Technology, Data Management, Software Version Control, Data Pipelines, Databricks
- **Published:** July 4, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2854898156-2

## About the Role

Essential Skills & Experience

 * experience in Data Engineering or a related field
 * Strong programming skills in Python and SQL
 * Experience building scalable data-intensive systems and pipelines
 * Understanding of modern software engineering best practices
 * Excellent communication and collaboration skills
 * Strong analytical and problem-solving capabilities
 * Self-motivated with a strong desire to learn and develop

Experience in Some or All of the Following

 * Distributed computing technologies such as Spark and Databricks
 * Cloud platforms including AWS, Azure, or GCP
 * Workflow orchestration tools such as Airflow
 * CI/CD, version control, and infrastructure as code

Desirable

 * Experience within financial services, consulting, or risk environments
 * Degree in Computer Science or a quantitative discipline

## Description

As a Data Engineer, you will work closely with technical and non-technical stakeholders to develop reliable, scalable, and high-quality data solutions. You will contribute across the full lifecycle of data product development, from architecture and engineering through to testing, optimisation, and continuous improvement., * Design and develop scalable data pipelines integrating internal and external data sources

 * Build and maintain data-intensive applications and platforms
 * Ensure high standards of data quality, reliability, and integrity
 * Contribute to the development and testing of new and existing data products
 * Troubleshoot and optimise data systems and workflows
 * Collaborate with cross-functional teams to improve data accessibility and usability
 * Support the adoption of modern engineering practices and emerging technologies


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