Russell Tobin

Data Engineer (Marketing Measurement)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Marketing Measurement) on a contract through December 2026, offering a pay rate of "competitive" and is fully remote (UK preferred). Key skills include SQL, ETL, Python, and experience in Marketing Analytics.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 11, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - Skills detailed
#Visualization #Python #Big Data #Presto #Programming #Data Quality #Azure #Computer Science #Spark (Apache Spark) #Airflow #Data Architecture #Data Engineering #Security #Hadoop #"ETL (Extract #Transform #Load)" #Storytelling #GCP (Google Cloud Platform) #Data Analysis #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Pipeline #Data Science #Data Modeling #Cloud
Role description
Data Engineer - Marketing Measurement | Remote UK | Contract About the Company Our client is a global technology leader operating multiple social media and communication platforms used by billions of people worldwide. Their products connect communities, enable business growth, and shape how people interact online. As one of the world's most influential tech companies, they offer unparalleled scale, cutting-edge technology, and the opportunity to impact billions of users daily. The Opportunity Join the Marketing Analytics & Operations team as a Data Engineer focused on Survey Warehouse and Measurement. You'll build the data infrastructure that powers marketing insights across a family of leading social platforms, helping optimize campaigns that reach a global audience. This is a contract role through December 2026, offering the chance to work on large-scale data challenges in a fast-paced, collaborative environment at a top-tier tech company. What You'll Do Build Marketing Data Solutions β€’ Design and develop ETL pipelines processing survey and marketing data at massive scale β€’ Create data models, warehouses, and schemas supporting campaign measurement and analytics β€’ Build automated dashboards and reporting solutions that drive marketing decisions Solve Complex Data Challenges β€’ Integrate structured and unstructured data from multiple sources across various platforms β€’ Optimize query performance and data architecture for large-scale projects β€’ Implement privacy-first security models and ensure data quality standards Drive Cross-Functional Impact β€’ Partner with data scientists, engineers, and marketing teams to translate business needs into technical solutions β€’ Own a dedicated workstream with clear roadmap and deliverables β€’ Represent key insights through impactful data visualization and storytelling What You Bring Required Qualifications: β€’ Bachelor’s degree in computer science, Computer Engineering, or related technical field (or equivalent experience) β€’ 5+ years of professional experience in data-focused roles (Data Engineer, Data Analyst, Data Scientist) β€’ 5+ years of hands-on experience with SQL, ETL, data modeling, and data visualization β€’ 5+ years of experience with Python (or similar programming language) β€’ Strong understanding of data warehousing concepts and best practices β€’ Experience designing and implementing data pipelines from multiple data sources Preferred Qualifications: β€’ Experience in Marketing Analytics or Marketing Technology (MarTech) β€’ Background at FAANG or large technology companies working with big data at scale β€’ Familiarity with cloud platforms (AWS, GCP, Azure) β€’ Experience with production on-call support and incident management β€’ Knowledge of big data technologies (Spark, Hadoop, Airflow, Presto) Why This Role Technical Impact β€’ Work with some of the world's largest data sets β€’ Design solutions serving billions of users and millions of businesses β€’ Solve real problems at unprecedented scale Company & Culture β€’ Join a tier-1 technology company β€’ Top-of-market compensation β€’ Work on platforms recognized globally β€’ Fast-paced, high-impact environment Team & Growth β€’ Collaborate with a focused 7-person Marketing Analytics & Ops team β€’ Work with world-class engineers and data scientists β€’ Clear scope and objectives with dedicated workstream ownership Work-Life Balance β€’ Fully remote (UK/EU-based) β€’ 40 hours per week β€’ Structured deliverables and roadmap Role Details πŸ“ Location: Remote (UK preferred, EU considered) πŸ“… Duration: Contract through December 31, 2026 ⏰ Hours: 40 hours/week