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Posted 06 August, 2026

Data Engineer

Harnham - Data & Analytics Recruitment
London, ENG, GB Full Time

Job Description

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Data Engineer

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6-months

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£500-£600 per dayRemote

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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.

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The Company

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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.

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The Role and Deliverables

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  • Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform.
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  • Adapt internal data products to operate effectively within external client sandbox environments.
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  • Develop, optimise, and maintain data processing solutions using Python and SQL.
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  • Work with large-scale datasets within Google Cloud and BigQuery environments.
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  • Collaborate with data, engineering, and platform teams to ensure data assets are fit for purpose.
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  • Contribute to testing, validation, and ongoing improvement of analytics solutions.
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Your Skills & Experience

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  • Strong proficiency with Python, including hands-on experience using Pandas.
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  • Experience working with SQL and cloud-based data warehousing technologies.
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  • Knowledge of Google BigQuery would be highly beneficial.
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  • Exposure to PySpark and distributed data processing environments.
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  • Ability to analyse, transform, and optimise complex datasets.
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  • Strong problem-solving and stakeholder communication skills.
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How to Apply

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If 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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