Remote Data Engineer — Cloud Analytics (6-Month Contract)

Harnham; Greater London; On-site; GBP 92,000 - 111,000; Full time

Job summary

Harnham in the United Kingdom is seeking a Data Engineer on a 6-month contract to support a major cloud analytics transformation. You will modify and enhance data pipelines and assets for deployment on a new cloud analytics platform and adapt internal data products for external client sandbox environments.

You will develop, optimise and maintain data processing solutions using Python and SQL, work with Google Cloud and BigQuery, and collaborate with data, engineering and platform teams to ensure

Qualifications

• Strong Python skills with Pandas experience.
• SQL and cloud-based data warehousing knowledge.
• Google BigQuery experience is a plus.
• Exposure to PySpark and distributed data processing.
• Ability to analyse, transform, and optimise complex datasets.
• Strong problem-solving and stakeholder communication skills.

Responsibilities

• 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.

Skills

Python

Pandas

SQL

BigQuery

PySpark

Data analysis

Stakeholder comms

Job description

Harnham in the United Kingdom is seeking a Data Engineer on a 6-month contract to support a major cloud analytics transformation. You will modify and enhance data pipelines and assets for deployment on a new cloud analytics platform and adapt internal data products for external client sandbox environments.

You will develop, optimise and maintain data processing solutions using Python and SQL, work with Google Cloud and BigQuery, and collaborate with data, engineering and platform teams to ensure