Norton Blake

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer contract (6+ months) paying £600-£650 per day, fully remote. Key skills include GCP expertise, real-time data pipelines, ETL/ELT development, SQL proficiency, and experience with Dataflow and BigQuery optimization.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
648
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🗓️ - Date
June 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
England, United Kingdom
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Automation #Dataflow #BigQuery #SQL (Structured Query Language) #Cloud #Data Engineering #Data Vault #"ETL (Extract #Transform #Load)" #Deployment #Batch #Monitoring #Observability #Vault #Data Ingestion #Datasets #Data Pipeline #Scala
Role description
Senior Data Engineer | GCP | Real-Time Data Pipelines Fully Remote 6+ Month Contract £600-£650 per day (inside IR35) We’re currently looking for a Senior Data Engineer with strong Google Cloud Platform experience to help build and optimise modern, scalable data platforms for a high-profile project. This is a hands-on engineering role suited to someone who enjoys solving complex data challenges, building robust pipelines, and working across modern cloud-native architectures. Candidates MUST have experience building and supporting real-time data pipelines / streaming dataflows on GCP. What you’ll be doing: • Designing and developing scalable ETL/ELT pipelines • Building real-time and batch data workflows on GCP • Developing robust data ingestion and transformation frameworks • Working with structured and semi-structured datasets • Collaborating with Analytics and Data Modelling teams • Improving data reliability, monitoring, and observability • Automating deployments and orchestration workflows • Helping shape tooling, frameworks, and engineering best practice What we’re looking for: • Experience with Dataflow and working on real-time dataflows / streaming architectures • Strong experience building ETL/ELT pipelines • Proven hands-on expertise across GCP data services • Experience with real-time dataflows / streaming architectures • Strong SQL and data transformation skills • Experience with orchestration and automation tools • Knowledge of modern data platform architectures (Lakehouse/Warehouse) • Data Vault 2.0 exposure • BigQuery optimisation experience Please apply for more information