

Norton Blake
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with strong GCP experience, focusing on BigQuery and MicroStrategy. It is a 6-month remote contract, paying £500-£600 per day. Key skills include ETL/ELT pipeline development and data architecture expertise.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
April 15, 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
United Kingdom
-
🧠 - Skills detailed
#Data Warehouse #Data Engineering #BI (Business Intelligence) #Strategy #Automation #Scala #Data Ingestion #Data Architecture #"ETL (Extract #Transform #Load)" #Deployment #Datasets #GCP (Google Cloud Platform) #Cloud #BigQuery #Data Pipeline
Role description
Senior Data Engineer BigQuery & MicroStrategy (GCP)
Role Contract
Duration Initially 6 months
Rate Circa £500-£600 per day
Location 100% remote
Inside IR35
A global organisation is looking for a Senior Data Engineer with strong Google Cloud Platform experience to support the build and optimisation of a modern data platform. This role will focus on BigQuery based data pipelines and enabling analytics through MicroStrategy, working within a scalable GCP environment.
You will play a key role in designing, building, and optimising data pipelines and data models, ensuring that analytics teams can efficiently consume high-quality, reliable data.
Key Responsibilities
• Design, build and maintain scalable ETL / ELT data pipelines on Google Cloud Platform (GCP)
• Develop and optimise data workflows using BigQuery as the core data warehouse
• Support MicroStrategy reporting and analytics environments connected to BigQuery
• Implement reliable data ingestion frameworks for structured and semi-structured datasets
• Work closely with data modelling, analytics, and BI teams to enable reporting use cases
• Automate data workflows, orchestration, and deployment processes
Key Requirements
• Proven experience working with Google Cloud Platform (GCP)
• Hands-on expertise with BigQuery for data warehousing and performance optimisation
• Must have Experience integrating or supporting MicroStrategy analytics environments
• Strong experience building ETL / ELT pipelines in modern data platforms
• Experience with workflow orchestration and pipeline automation tools
• Strong understanding of modern data architectures (data warehouse / Lakehouse)
Senior Data Engineer BigQuery & MicroStrategy (GCP)
Role Contract
Duration Initially 6 months
Rate Circa £500-£600 per day
Location 100% remote
Inside IR35
A global organisation is looking for a Senior Data Engineer with strong Google Cloud Platform experience to support the build and optimisation of a modern data platform. This role will focus on BigQuery based data pipelines and enabling analytics through MicroStrategy, working within a scalable GCP environment.
You will play a key role in designing, building, and optimising data pipelines and data models, ensuring that analytics teams can efficiently consume high-quality, reliable data.
Key Responsibilities
• Design, build and maintain scalable ETL / ELT data pipelines on Google Cloud Platform (GCP)
• Develop and optimise data workflows using BigQuery as the core data warehouse
• Support MicroStrategy reporting and analytics environments connected to BigQuery
• Implement reliable data ingestion frameworks for structured and semi-structured datasets
• Work closely with data modelling, analytics, and BI teams to enable reporting use cases
• Automate data workflows, orchestration, and deployment processes
Key Requirements
• Proven experience working with Google Cloud Platform (GCP)
• Hands-on expertise with BigQuery for data warehousing and performance optimisation
• Must have Experience integrating or supporting MicroStrategy analytics environments
• Strong experience building ETL / ELT pipelines in modern data platforms
• Experience with workflow orchestration and pipeline automation tools
• Strong understanding of modern data architectures (data warehouse / Lakehouse)





