Carbon60 Project Services

Data Services Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Services Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires active SC clearance, strong skills in Python and SQL, and experience in building data pipelines within secure environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
Portsmouth, England, United Kingdom
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🧠 - Skills detailed
#Data Lifecycle #Jira #Linux #"ETL (Extract #Transform #Load)" #Data Pipeline #Databases #DevOps #Automation #Documentation #Scala #Data Quality #SQL (Structured Query Language) #Python
Role description
We are seeking a Data Services Engineer to join a Capability Engineering team delivering data platforms and pipelines that underpin operational and analytical services supporting Royal Navy Maritime Domain Awareness outputs. This is a hands-on engineering role focused on building reliable, scalable and secure data solutions. You will work across the full data lifecycle, from ingestion through to delivery, ensuring data is accessible, trusted and usable. The role will require an active SC clearance to start, with the requisite that you are able to obtain a DV clearance. What You Will Do • Build and maintain scalable data pipelines (ETL/ELT) across multiple systems. • Integrate data from diverse sources including databases, APIs and enterprise systems. • Ensure data quality, integrity and availability across platforms. • Monitor and optimise data pipelines for performance and reliability. • Troubleshoot and resolve complex data and platform issues. • Contribute to automation and CI/CD of data services. • Collaborate with stakeholders to understand and deliver data requirements. • Producing technical documentation, runbooks and operational artefacts. What We Are Looking For Essential • Experience building and maintaining data pipelines. • Strong Python and SQL skills. • Experience working with structured data and databases. • Understanding of data modelling and transformation techniques. • Experience with Linux environments. • Strong problem-solving and analytical skills. • Ability to work independently within defined standards. Desirable • Experience with orchestration tools or data platforms. • Exposure to DevOps practices and automation. • Experience in secure or regulated environments. • Familiarity with service management tools (e.g. Jira, Confluence).