Few&Far

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 up to £525/day, located in London (1 day onsite). Key skills include AWS, Python, SQL, and experience with ML deployments and data pipelines.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
560
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🗓️ - Date
July 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
London Area, United Kingdom
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🧠 - Skills detailed
#Airflow #Forecasting #RDS (Amazon Relational Database Service) #Lambda (AWS Lambda) #Data Lake #Monitoring #Python #Scala #Data Warehouse #Looker #SQL (Structured Query Language) #ML (Machine Learning) #Data Pipeline #Redshift #Code Reviews #Cloud #"ETL (Extract #Transform #Load)" #DevOps #SageMaker #S3 (Amazon Simple Storage Service) #Athena #AWS (Amazon Web Services) #Data Engineering
Role description
🚨 Senior Data Engineer | Outside IR35 Contract | Up to £525/day | London (1 day onsite) 🚨 I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract. 💰 Up to £525 per day 📍 London - 1 day per week onsite 📄 Outside IR35 ⚡ 1-stage interview process This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop. You'll be working on: ✅ Modernising data lake & data warehouse architecture ✅ Designing, building and optimising ETL/ELT pipelines ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker & Lambda) ✅ Writing high-performance SQL and production-quality Python ✅ Improving platform reliability, monitoring and CI/CD ✅ Collaborating with stakeholders to deliver scalable data solutions ✅ Mentoring junior engineers through code reviews and best practices Tech Stack: ☁️ AWS 🐍 Python 🗄️ SQL 🔄 Airflow (AWS) 📊 Looker (nice to have) I'm keen to speak with Data Engineers who have: ✔️ Strong experience building production-grade data pipelines ✔️ Advanced SQL and Python skills ✔️ Experience deploying and supporting ML models in production ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering If you're available soon or know someone who could be a great fit, please apply below or share this job post!