Senior Data Engineer (GCP)
Posted Today by SR2 - Socially Responsible Recruitment
£500 Per day
Outside
Remote
England, UK
Summary: The Senior Data Engineer (GCP) role involves designing, building, and maintaining scalable data pipelines on Google Cloud Platform (GCP) for a large-scale enterprise data platform. This hands-on position requires integrating data from on-premise systems and SaaS platforms into a centralized cloud data environment. The contract is initially for 6 months and is fully remote within the UK. The role is classified as outside IR35.
Key Responsibilities:
- Design, build and maintain scalable data pipelines on GCP
- Ingest and integrate data from on-premise systems into cloud environments
- Support integration of SaaS data sources into the organisation's internal data platform
- Work with enterprise data ingestion technologies such as Datastream or equivalent replication tools
- Build and optimise data ingestion and transformation workflows
- Contribute to cloud architecture discussions and data platform design
- Ensure pipelines are reliable, secure and performant in production environments
Key Skills:
- Strong Google Cloud Platform (GCP) experience
- Proven ability to design and build scalable data pipelines
- Experience integrating data from on-premise environments into cloud platforms
- Experience with Google Datastream or similar replication technologies
- Experience ingesting data from external SaaS systems
- Strong SQL and Python skills
- Understanding of cloud networking considerations for data ingestion
- Experience working in enterprise-scale data environments
- Experience with Airflow or other orchestration frameworks
- Exposure to distributed data processing frameworks such as Spark
- Google Associate Cloud Engineer or Professional Cloud Engineer certification (desirable)
Salary (Rate): £500 per day
City: undetermined
Country: UK
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Senior Data Engineer (GCP)
Location: Fully remote - UK
Contract length: Initial 6 months
Working frequency: part time
Rate: £450-£500 per day
IR35: Outside IR35
Tech: GCP/Datastream/SQL/Python
SR2 is supporting a client delivering a large-scale enterprise data platform on Google Cloud Platform (GCP) and is looking for a Senior Data Engineer to join the team on an initial 6-month contract.
This is a hands-on engineering role focused on building and maintaining cloud-native data pipelines and enabling the ingestion of data from multiple sources including on-premise systems and SaaS platforms.
The environment involves complex enterprise integrations, with a particular focus on bringing distributed data sources into a centralised cloud data platform.
Role:
- Design, build and maintain scalable data pipelines on GCP
- Ingest and integrate data from on-premise systems into cloud environments
- Support integration of SaaS data sources into the organisation's internal data platform
- Work with enterprise data ingestion technologies such as Datastream or equivalent replication tools
- Build and optimise data ingestion and transformation workflows
- Contribute to cloud architecture discussions and data platform design
- Ensure pipelines are reliable, secure and performant in production environments
Requirements:
- Strong Google Cloud Platform (GCP) experience
- Proven ability to design and build scalable data pipelines
- Experience integrating data from on-premise environments into cloud platforms
- Experience with Google Datastream or similar replication technologies
- Experience ingesting data from external SaaS systems
- Strong SQL and Python skills
- Understanding of cloud networking considerations for data ingestion
- Experience working in enterprise-scale data environments
- Experience with Airflow or other orchestration frameworks
- Exposure to distributed data processing frameworks such as Spark
- Google Associate Cloud Engineer or Professional Cloud Engineer certification (desirable)
Please apply with a copy of your CV and Emma from SR2 will contact potential candidates regarding next steps.