

CV Technical LTD
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6-12 month contract, paying £400 - £500 per day. It requires strong SQL and Python skills, attention to detail, and experience with data processing. Location is hybrid, based in Manchester city centre.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
496
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🗓️ - Date
April 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Greater Manchester, England, United Kingdom
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🧠 - Skills detailed
#Documentation #Data Engineering #Python #Scala #Security #Data Science #Data Quality #Data Privacy #AI (Artificial Intelligence) #Data Pipeline #Programming #SQL (Structured Query Language) #Data Processing #Monitoring #Cloud #Datasets #"ETL (Extract #Transform #Load)"
Role description
CV Technical are pleased to be partnered with a well-established data insights company who has spent the past decade helping global brands make smarter decisions through advanced analytics. Their technology enables the collection and transformation of real-world user data into actionable insights, with a strong emphasis on privacy and responsible data handling.
They are currently seeking a Data Engineer to support the ongoing development of their data offering on a contract basis.
The Role
Working as part of a specialist data team, you will be responsible for transforming raw data signals into structured, reliable datasets that can be used by clients and internal stakeholders.
On a daily basis, you’ll work with SQL, Python, and a range of internal (including AI-enabled) tools to design data structures, apply business rules, validate outputs, and deliver production ready data assets.
This is a hybrid position based in Manchester city centre, requiring regular in-office collaboration, 3 days per week.
Key Responsibilities
• Design and refine data structures, translating product requirements into scalable datasets
• Build and maintain data pipelines using a mix of internal tooling, SQL, and Python
• Ensure high data quality through validation checks, monitoring, and issue investigation
• Work cross-functionally with product, engineering, and data science teams
• Maintain clear and accessible documentation for data products and workflows
• Follow internal policies relating to security, quality, and safe working practices
About You
You enjoy working hands-on with data and have an interest in accurately representing real world behaviour through well-structured datasets.
Essential skills and experience:
• Strong SQL capabilities, including working with large-scale datasets
• Experience with at least one programming language suited to data processing (e.g. Python)
• High attention to detail, particularly around data validation and accuracy
• Strong communication skills and ability to collaborate across teams
• Openness to using AI tools to improve productivity and understanding
Desirable (not essential):
• Experience working with event-level or behavioural datasets
• Understanding of data privacy and governance principles
• Exposure to cloud-based data environments
Offer:
• 6-12 Month contract duration
• Outside IR35
• £400 - £500 per day (dependant on experience)
Only candidates within a sensible, commutable distance to Manchester City centre will be considered as this role requires candidates to be on site 3 days per week.
Additionally, sponsorship is NOT available for this role!
CV Technical are pleased to be partnered with a well-established data insights company who has spent the past decade helping global brands make smarter decisions through advanced analytics. Their technology enables the collection and transformation of real-world user data into actionable insights, with a strong emphasis on privacy and responsible data handling.
They are currently seeking a Data Engineer to support the ongoing development of their data offering on a contract basis.
The Role
Working as part of a specialist data team, you will be responsible for transforming raw data signals into structured, reliable datasets that can be used by clients and internal stakeholders.
On a daily basis, you’ll work with SQL, Python, and a range of internal (including AI-enabled) tools to design data structures, apply business rules, validate outputs, and deliver production ready data assets.
This is a hybrid position based in Manchester city centre, requiring regular in-office collaboration, 3 days per week.
Key Responsibilities
• Design and refine data structures, translating product requirements into scalable datasets
• Build and maintain data pipelines using a mix of internal tooling, SQL, and Python
• Ensure high data quality through validation checks, monitoring, and issue investigation
• Work cross-functionally with product, engineering, and data science teams
• Maintain clear and accessible documentation for data products and workflows
• Follow internal policies relating to security, quality, and safe working practices
About You
You enjoy working hands-on with data and have an interest in accurately representing real world behaviour through well-structured datasets.
Essential skills and experience:
• Strong SQL capabilities, including working with large-scale datasets
• Experience with at least one programming language suited to data processing (e.g. Python)
• High attention to detail, particularly around data validation and accuracy
• Strong communication skills and ability to collaborate across teams
• Openness to using AI tools to improve productivity and understanding
Desirable (not essential):
• Experience working with event-level or behavioural datasets
• Understanding of data privacy and governance principles
• Exposure to cloud-based data environments
Offer:
• 6-12 Month contract duration
• Outside IR35
• £400 - £500 per day (dependant on experience)
Only candidates within a sensible, commutable distance to Manchester City centre will be considered as this role requires candidates to be on site 3 days per week.
Additionally, sponsorship is NOT available for this role!





