Data Engineer
Posted 1 day ago by Norton Blake
£650 Per day
Inside
Remote
England
Summary: The role of Senior Data Engineer focuses on building and optimizing scalable data platforms using Google Cloud Platform (GCP) for a high-profile project. This hands-on position requires expertise in real-time data pipelines and cloud-native architectures. The ideal candidate will solve complex data challenges and collaborate with analytics teams. The contract is fully remote and spans over 6 months.
Key Responsibilities:
- 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
Key Skills:
- 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
- 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
Salary (Rate): £650 per day
City: undetermined
Country: England
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
England
Data Engineer
Contract / £600 - £650 per day
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
- 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
