Data Engineer: Scalable Pipelines & Impact

Experis UK; Newcastle upon Tyne; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

City-centre location

Learning & development

Collaborative team

Job summary

Experis UK is seeking an experienced Data Engineer to join a high-performing engineering team in Newcastle city centre. You will design, build and maintain scalable data platforms and pipelines to support advanced analytics and decision-making.

You will work across the full lifecycle of data product development, collaborating with stakeholders to deliver reliable, scalable data solutions and to continuously improve data systems and workflows.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data pipelines

Tools

Spark

Databricks

Airflow

AWS

CI/CD

Job description

Experis UK is seeking an experienced Data Engineer to join a high-performing engineering team in Newcastle city centre. You will design, build and maintain scalable data platforms and pipelines to support advanced analytics and decision-making.

You will work across the full lifecycle of data product development, collaborating with stakeholders to deliver reliable, scalable data solutions and to continuously improve data systems and workflows.