Few&Far

Data Engineer – Python | GCP | KAFKA | SC Clearance - £600 OUTSIDE IR35 - Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with strong production-level Python and experience in building distributed data pipelines. Contract length is 6 months, pay rate is £600 per day, and SC clearance is required. Remote work only.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
August 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Outside IR35
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🔒 - Security
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Knowledge Graph #Data Pipeline #Data Engineering #Databases #Spark (Apache Spark) #IoT (Internet of Things) #Trino #ML (Machine Learning) #Scala #Data Lineage #Kafka (Apache Kafka) #Schema Design #Graph Databases #Kubernetes #Python #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Docker
Role description
Data Engineer – Python | GCP | KAFKA | SC Clearance - £600 OUTSIDE IR35 - Remote I’m looking for an experienced Data Engineer to join a greenfield technology programme building a highly scalable data platform supporting advanced AI capabilities and maritime surveillance across the North Atlantic. You’ll join a highly autonomous engineering team taking an existing proven prototype through to a production-grade platform, ingesting and processing large volumes of complex, real-world data. 💷 Up to £600 per day, Outside IR35 💻 FULLY REMOTE 📈 Initial 6 months - scope for extension / perm ‼️ SC clearance required for this role - UK APPLICANTS ONLY The role: • Design and productionise scalable, high-throughput distributed data pipelines • Onboard and normalise diverse data sources into consistent, queryable schemas • Build the core data foundations used by AI/ML models and agents • Develop a knowledge layer allowing AI agents to read and write data with full traceability back to source • Work with complex IoT, geospatial, time-series and maritime data • Build secure, high-performance production systems using Python • Help shape technical and architectural decisions in a genuinely greenfield environment What we’re looking for: • Strong production-level Python • Experience building distributed data pipelines at scale • Strong understanding of data modelling, schema design and data lineage/provenance • Solid software engineering fundamentals • Experience taking data systems from prototype → production • SC Clearance or willingness/eligibility to undergo clearance Highly desirable experience: • Kafka / Flink or other streaming technologies • Spark, Iceberg, Trino and modern lakehouse architectures • Knowledge graphs / graph databases • ML/AI platform integration • Entity resolution / data fusion • Geospatial or time-series data • Docker / Kubernetes • Restricted or air-gapped environments This is an opportunity to work on a technically challenging, high-priority programme where the data platform will sit directly underneath sophisticated AI and optimisation capabilities. 📩 Interested? Apply or message me directly for more information.