WRK digital

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for two Data Engineers on a 6-month contract, offering £480/day, fully remote. Requires expertise in AWS services, financial data engineering experience, and skills in Python, SQL, and Spark for ETL/analytics.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
480
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🗓️ - Date
February 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Data Lake #Lambda (AWS Lambda) #Redshift #Data Pipeline #"ETL (Extract #Transform #Load)" #RDS (Amazon Relational Database Service) #Athena #Scala #AWS Lambda #SQL (Structured Query Language) #Amazon Redshift #Data Storage #Compliance #PCI (Payment Card Industry) #Data Architecture #AWS (Amazon Web Services) #Data Processing #Data Integrity #GDPR (General Data Protection Regulation) #Big Data #Spark (Apache Spark) #Data Engineering #Storage #Python #Cloud #AWS Glue #S3 (Amazon Simple Storage Service) #Data Quality
Role description
Data Engineer x2 Contract Length: 6 months IR35 Status: Inside IR35 Day Rate: £480/day Location: Fully remote About the Role Proud to be partnered with a Retail Financial Services organisation who are seeking two Contract Data Engineers to design, build, and maintain secure, scalable data pipelines on AWS cloud. You will work with large-scale transactional and customer data, ensuring data integrity, performance, and compliance. This role requires hands-on expertise in AWS services and strong experience in financial data engineering. Key Responsibilities • Build and maintain ETL/ELT pipelines for transactional, customer, and operational data. • Design and implement data architectures and models optimised for analytics and reporting. • Work extensively with AWS services, including: • Amazon S3 – secure data storage • AWS Glue – ETL processing • Amazon Redshift / RDS – data warehousing • AWS Lambda – serverless transformations • AWS Athena / EMR – analytics and big data processing • Ensure data quality, governance, and regulatory compliance (e.g., PCI DSS, GDPR). Required Skills & Experience • Proven experience as a Data Engineer, preferably in financial services or highly regulated industries. • Strong proficiency with AWS cloud services (S3, Glue, Redshift, Lambda, Athena, EMR). • Hands-on experience with Python, SQL, and Spark for ETL and analytics. • Knowledge of data warehousing, data lakes, and large-scale data processing. • Excellent problem-solving skills and ability to work independently in a fast-paced environment.