US Tech Solutions Private Limited

Data Engineer (Marketing Analytics)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Marketing Analytics) with a contract until December 2026, offering remote work in the UK. Requires 5+ years in data engineering, strong SQL, ETL, and Python skills, and experience in marketing technology analytics.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Data Analysis #Data Modeling #SQL (Structured Query Language) #Visualization #"ETL (Extract #Transform #Load)" #Data Integration #Data Science #Scala #Compliance #Python #Security #Data Engineering #Datasets #Data Architecture #Data Security
Role description
Role: Data Engineer (Marketing Analytics) Location: UK- Remote Duration: Until end of Dec 2026 About the role: Join a fast-paced Marketing Analytics & Operations team as a Data Engineer. You’ll work with survey and marketing datasets to design scalable pipelines, dashboards, and reporting solutions that drive actionable insights for high-impact marketing programs. Key Responsibilities: • Build and maintain ETL pipelines, data models, and dashboards for marketing analytics • Work closely with data scientists, engineers, and marketers to translate data needs into actionable insights • Solve complex data integration challenges from structured & unstructured sources • Ensure data security, quality, and compliance while working with large-scale datasets • Conceptualize scalable data architectures and evaluate cost/benefit tradeoffs Required Qualifications • 5+ years in data engineering, data analysis, or data science • Strong SQL, ETL, Python skills • Expertise in data modeling, visualization, and data warehousing • Collaborative mindset, able to work with multi-disciplinary teams Nice-to-Have: • Experience in Marketing Technology / Analytics • Background in large tech environments • Comfortable participating in team/client calls