Data Engineer
Posted Today by Norton Blake
£600 Per day
Inside
Remote
London
Summary: The role of a Senior Data Engineer focuses on building and optimizing data pipelines and models within a Google Cloud Platform environment, specifically utilizing BigQuery and MicroStrategy. This contract position is fully remote and requires expertise in modern data architectures and ETL/ELT processes. The successful candidate will collaborate with analytics teams to ensure high-quality data is available for reporting and analysis. The contract is initially for six months with a competitive daily rate.
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 Skills:
- 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)
Salary (Rate): £600 per day
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
London
Data Engineer
Contract / £550 - £600 per day
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)
