Opus Recruitment Solutions
Senior Data Engineer – Analytics (Contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer – Analytics (Contract) in a hybrid London/Reading setting, offering £500 - £550 p/d for a 6-month rolling contract. Requires strong SQL, Python/R proficiency, AWS experience, and familiarity with large datasets.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 21, 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
Reading
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🧠 - Skills detailed
#SQL (Structured Query Language) #Datasets #Microsoft Power BI #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Data Science #Scala #Data Wrangling #AWS (Amazon Web Services) #Redshift #Data Pipeline #Data Engineering #R #Python #Statistics #ML (Machine Learning) #BI (Business Intelligence) #Lambda (AWS Lambda) #Cloud #Athena
Role description
Senior Data Engineer – Analytics (Contract)Hybrid – London/Reading
A data engineer is required to deliver insight-ready datasets and support advanced analytics across a cloud-based environment. The role focuses on building scalable pipelines, refining complex data sources, and enabling analysts and data scientists with high-quality, well-structured data.
Key Responsibilities
• Develop and optimise data pipelines for analytics and modelling.
• Cleanse, transform, and analyse large datasets using Python/R.
• Maintain SQL-driven processing workflows in the cloud.
• Perform EDA to identify trends, anomalies, and data issues.
• Collaborate with BI teams to deliver reliable analytical datasets.Skills & Experience
• Strong SQL and data wrangling.
• Proficient in Python or R.
• Experience with large, complex datasets and Power BI.
• AWS experience preferred: Glue, S3, Athena, Lambda, Redshift, Step Functions.
• Advantageous: statistics/ML exposure and telecom-style data environments.Contract: 6-month rolling, hybrid onsite - £500 - £550 p/d (Outside IR35)
Senior Data Engineer – Analytics (Contract)Hybrid – London/Reading
A data engineer is required to deliver insight-ready datasets and support advanced analytics across a cloud-based environment. The role focuses on building scalable pipelines, refining complex data sources, and enabling analysts and data scientists with high-quality, well-structured data.
Key Responsibilities
• Develop and optimise data pipelines for analytics and modelling.
• Cleanse, transform, and analyse large datasets using Python/R.
• Maintain SQL-driven processing workflows in the cloud.
• Perform EDA to identify trends, anomalies, and data issues.
• Collaborate with BI teams to deliver reliable analytical datasets.Skills & Experience
• Strong SQL and data wrangling.
• Proficient in Python or R.
• Experience with large, complex datasets and Power BI.
• AWS experience preferred: Glue, S3, Athena, Lambda, Redshift, Step Functions.
• Advantageous: statistics/ML exposure and telecom-style data environments.Contract: 6-month rolling, hybrid onsite - £500 - £550 p/d (Outside IR35)
