Synergize Consulting

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis in Edinburgh, offering up to £50 p/h inside IR35. Candidates must hold transferable security clearance and have experience in data solutions, programming, and both relational and non-relational databases.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date
February 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Yes
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📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#Automation #Data Pipeline #Data Integration #Data Quality #Programming #Data Processing #Scala #Deployment #Databases #Batch #Security #Version Control #Storage #Data Engineering
Role description
Contract Data Engineer Edinburgh HQ (One day P/W Remote) Must hold transferable security clearance (UKEO regulations apply) Up to £50 p/h Inside IR35 A leading Defence prime client in Edinburgh are looking to onboard a security cleared Data Engineer on a contract basis. The successful candidate will be based predominately onsite with some remote working offered. Key skills • Experience designing, building, and supporting scalable data solutions, including data pipelines and analytical platforms. • Working knowledge of modern data operations practices, such as automation, version control, and deployment workflows. • Familiarity with data integration approaches and large-scale data processing concepts. • Proficiency in one or more programming or query languages commonly used in data-focused roles. • Practical experience working with both relational and non-relational databases. • Educational background in a technical or analytical discipline, or equivalent professional experience. • Relevant industry certifications or advanced training are considered beneficial. Key responsibilities • Build, deploy, and support data pipelines and infrastructure • Automate the ingestion, processing, and storage of data • Support both batch and real-time data processing • Work with teams to understand data needs and objectives • Prepare data for analytics, reporting, and modelling • Ensure data quality, reliability, and governance standards • Collaborate with data, IT, and architecture teams on shared initiative