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.