Data Engineer
Job Description
Data Engineer
\n6-months
\n£500-£600 per dayRemote
\n\nThis 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.
\n\nThe Company
\nThey 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.
\n\nThe Role and Deliverables
\n- \n
- Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform. \n
- Adapt internal data products to operate effectively within external client sandbox environments. \n
- Develop, optimise, and maintain data processing solutions using Python and SQL. \n
- Work with large-scale datasets within Google Cloud and BigQuery environments. \n
- Collaborate with data, engineering, and platform teams to ensure data assets are fit for purpose. \n
- Contribute to testing, validation, and ongoing improvement of analytics solutions. \n
Your Skills & Experience
\n- \n
- Strong proficiency with Python, including hands-on experience using Pandas. \n
- Experience working with SQL and cloud-based data warehousing technologies. \n
- Knowledge of Google BigQuery would be highly beneficial. \n
- Exposure to PySpark and distributed data processing environments. \n
- Ability to analyse, transform, and optimise complex datasets. \n
- Strong problem-solving and stakeholder communication skills. \n
How to Apply
\nIf you have strong Python and SQL expertise and are interested in cloud-based analytics transformation projects, please apply with your latest CV.
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