

Experis UK
Senior Data Engineer (SC Cleared)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (SC Cleared) with a 6-month contract, paying £550 - £650 per day. Key skills include Python, SQL, and cloud platforms (AWS/Azure/GCP). Onsite work in Reading is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
650
-
🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Yes
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📍 - Location detailed
Reading, England, United Kingdom
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🧠 - Skills detailed
#NoSQL #Big Data #Databases #Docker #ML (Machine Learning) #AWS (Amazon Web Services) #Automation #SQL (Structured Query Language) #Cloud #Infrastructure as Code (IaC) #Model Deployment #Datasets #Kubernetes #Scala #"ETL (Extract #Transform #Load)" #Storage #Python #Hadoop #Data Science #Spark (Apache Spark) #Azure #Ansible #Data Engineering #DevOps #GCP (Google Cloud Platform) #Terraform #NiFi (Apache NiFi) #Data Pipeline #Deployment
Role description
🚀 Senior Data Engineer (SC Cleared)
This is a high-impact Senior Data Engineering role focused on building secure, scalable data platforms from scratch.
You’ll be working with complex, high-volume technical datasets, designing modern pipelines and enabling advanced analytics and ML workflows.
What You’ll Be Doing:
• Designing and building end-to-end data pipelines (ingestion → processing → storage → analytics)
• Engineering scalable data platforms across cloud environments (AWS / Azure / GCP)
• Working with high-volume, complex datasets (streaming, telemetry, structured + unstructured)
• Developing automation, tooling, and data services to unlock insights
• Supporting ML workflows and data science pipelines
• Collaborating with Data Scientists, DevOps, and Engineering teams
• Evaluating and implementing modern data technologies
• Leading small technical workstreams and mentoring engineers
Core Tech Stack:
• Python, SQL
• ETL / ELT pipelines & orchestration tools
• SQL & NoSQL databases
• Cloud platforms: AWS / Azure / GCP
• APIs & containerisation (Docker)
Nice to Have:
• Big data tools (Spark, Hadoop, NiFi)
• Infrastructure as Code (Terraform, Ansible)
• Container orchestration (Kubernetes)
• CI/CD pipelines
• Exposure to ML model deployment
Contract Details:
• £550 - £650 Per Day (Inside IR35)
• Onsite – Reading
• SC Cleared
• 6-Months Initial Contract
Please apply for immediate consideration.
🚀 Senior Data Engineer (SC Cleared)
This is a high-impact Senior Data Engineering role focused on building secure, scalable data platforms from scratch.
You’ll be working with complex, high-volume technical datasets, designing modern pipelines and enabling advanced analytics and ML workflows.
What You’ll Be Doing:
• Designing and building end-to-end data pipelines (ingestion → processing → storage → analytics)
• Engineering scalable data platforms across cloud environments (AWS / Azure / GCP)
• Working with high-volume, complex datasets (streaming, telemetry, structured + unstructured)
• Developing automation, tooling, and data services to unlock insights
• Supporting ML workflows and data science pipelines
• Collaborating with Data Scientists, DevOps, and Engineering teams
• Evaluating and implementing modern data technologies
• Leading small technical workstreams and mentoring engineers
Core Tech Stack:
• Python, SQL
• ETL / ELT pipelines & orchestration tools
• SQL & NoSQL databases
• Cloud platforms: AWS / Azure / GCP
• APIs & containerisation (Docker)
Nice to Have:
• Big data tools (Spark, Hadoop, NiFi)
• Infrastructure as Code (Terraform, Ansible)
• Container orchestration (Kubernetes)
• CI/CD pipelines
• Exposure to ML model deployment
Contract Details:
• £550 - £650 Per Day (Inside IR35)
• Onsite – Reading
• SC Cleared
• 6-Months Initial Contract
Please apply for immediate consideration.






