Harnham
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 6-month contract, paying £500-£600 per day, fully remote. Key skills include Python, SQL, and experience with Google BigQuery. Cloud analytics transformation experience is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 6, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
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🧠 - Skills detailed
#Data Engineering #Data Pipeline #Deployment #Python #Spark (Apache Spark) #Datasets #Scala #Data Processing #PySpark #SQL (Structured Query Language) #BigQuery #Cloud #"ETL (Extract #Transform #Load)" #Pandas
Role description
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.
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.
