

Synergize Consulting
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with active security clearance, based in Reading (Hybrid). Contract length is unspecified, paying up to £84 p/h Inside IR35. Key skills include Python, SQL, cloud platforms, and experience with large-scale datasets, preferably in aerospace.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
672
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🗓️ - Date
April 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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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
#"ETL (Extract #Transform #Load)" #Data Pipeline #Automation #Big Data #Infrastructure as Code (IaC) #Terraform #Data Science #NoSQL #SQL (Structured Query Language) #Azure #Deployment #Database Architecture #NiFi (Apache NiFi) #Scala #Spark (Apache Spark) #Data Engineering #GCP (Google Cloud Platform) #ML (Machine Learning) #Security #Datasets #Python #AWS (Amazon Web Services) #Cloud #DevOps #Ansible #Hadoop #Storage #Docker
Role description
Senior Data Engineer
Active security clearance is required
Reading (Hybrid – on-site as required)
Up to £84 p/h Inside IR35
A leading Defence prime based in Reading are looking for a security cleared Senior Data Engineer to play a key role in shaping data capability within a greenfield, mission-critical Defence & Aerospace environment.
This is a hands-on opportunity to design and deliver secure, scalable data pipelines and platforms supporting complex engineering and operational datasets including high-volume sensor and aerospace data
If you enjoy building from scratch, solving complex data challenges, and working in secure, high impact environments, this role is built for you.
Key skills
• Live security clearance (SC) - This is essential
• Proven experience as a Data Engineer in complex environments
• Strong Python and SQL skills, with experience building and optimising pipelines
• Solid understanding of SQL and NoSQL database architectures
• Experience working with large-scale or high-volume datasets (ideally aerospace or sensor data)
• Experience with ETL pipelines, orchestration tools and APIs
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker and modern engineering tooling
• Exposure to big data ecosystems (Spark, Hadoop, NiFi)
• Familiarity with Infrastructure as Code (Terraform, Ansible)
• Understanding of machine learning models and deployment
Key responsibilities
• Designing and delivering end-to-end data solutions (ingestion, integration, storage, processing, analysis)
• Building robust data pipelines and ETL workflows for complex, high-volume datasets
• Developing tools and automation to enable data-driven insights
• Working with cloud platforms (AWS, Azure, GCP) in secure environments
• Supporting machine learning workflows and data science initiatives
• Collaborating with DevOps, Data Scientists, Analysts, and Cyber teams
• Leveraging big data and orchestration technologies (Spark and NiFi)
• Leading small work packages and mentoring junior engineers
• Contributing to technical design decisions and engineering best practice
Senior Data Engineer
Active security clearance is required
Reading (Hybrid – on-site as required)
Up to £84 p/h Inside IR35
A leading Defence prime based in Reading are looking for a security cleared Senior Data Engineer to play a key role in shaping data capability within a greenfield, mission-critical Defence & Aerospace environment.
This is a hands-on opportunity to design and deliver secure, scalable data pipelines and platforms supporting complex engineering and operational datasets including high-volume sensor and aerospace data
If you enjoy building from scratch, solving complex data challenges, and working in secure, high impact environments, this role is built for you.
Key skills
• Live security clearance (SC) - This is essential
• Proven experience as a Data Engineer in complex environments
• Strong Python and SQL skills, with experience building and optimising pipelines
• Solid understanding of SQL and NoSQL database architectures
• Experience working with large-scale or high-volume datasets (ideally aerospace or sensor data)
• Experience with ETL pipelines, orchestration tools and APIs
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker and modern engineering tooling
• Exposure to big data ecosystems (Spark, Hadoop, NiFi)
• Familiarity with Infrastructure as Code (Terraform, Ansible)
• Understanding of machine learning models and deployment
Key responsibilities
• Designing and delivering end-to-end data solutions (ingestion, integration, storage, processing, analysis)
• Building robust data pipelines and ETL workflows for complex, high-volume datasets
• Developing tools and automation to enable data-driven insights
• Working with cloud platforms (AWS, Azure, GCP) in secure environments
• Supporting machine learning workflows and data science initiatives
• Collaborating with DevOps, Data Scientists, Analysts, and Cyber teams
• Leveraging big data and orchestration technologies (Spark and NiFi)
• Leading small work packages and mentoring junior engineers
• Contributing to technical design decisions and engineering best practice





