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Data Engineer

Confidential · London · Remote · Senior

  • London · Remote
  • 6-months

Indexed (4 days ago) · refreshed constantly

Budget
£63–75 / h
Start
flexible
Duration
6-months
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
e1aeb1da-8723-4ba1-d23d-08d5948a7341

Job description

Project overview

Data Engineer

6-months

£500-£600 per day

Project details

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

Your Skills & Experience

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.

  • 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.
  • 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.
  • Start: flexible
  • Duration: 6-months
  • Remote: remote
  • Location: London
  • Rate: 63-75 EUR/h

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