Data Engineer

Data Engineer

6-months

£500-£600 per day Remote

This is an opportunity to join a leading organisation within the credit information and data services sector, supporting a major cloud analytics transformation programme. You'll play a key role in adapting data products and analytical assets for a new external-facing platform, helping to deliver scalable and accessible data solutions for clients.

The Company

They are a well-established data and analytics organisation that helps businesses make better decisions through trusted data, advanced technology, and cloud-based solutions. As part of a significant platform modernisation initiative, they are expanding their analytics capability and investing in innovative cloud technologies. This role offers the chance to work on large-scale data assets within a highly collaborative environment.

The Role and Deliverables

Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform.

Adapt internal data products to operate effectively within external client sandbox environments.

Develop, optimise, and maintain data processing solutions using Python and SQL.

Work with large-scale datasets within Google Cloud and BigQuery environments.

Collaborate with data, engineering, and platform teams to ensure data assets are fit for purpose.

Contribute to testing, validation, and ongoing improvement of analytics solutions.

Your Skills & Experience

Strong proficiency with Python, including hands-on experience using Pandas.

Experience working with SQL and cloud-based data warehousing technologies.

Knowledge of Google BigQuery would be highly beneficial.

Exposure to PySpark and distributed data processing environments.

Ability to analyse, transform, and optimise complex datasets.

Strong problem-solving and stakeholder communication skills.

How to Apply

If you have strong Python and SQL expertise and are interested in cloud-based analytics transformation projects, please apply with your latest CV.