Senior Data Engineer (GCP)
Design, build, and maintain scalable data pipelines on GCP. Ingest and integrate data from on-premise systems into cloud environments. Work with enterprise data ingestion technologies such as Datastream or equivalent replication tools.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
GCP - Senior Data Engineer
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.
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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)
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Please apply with a copy of your CV and Emma from SR2 will contact potential candidates regarding next steps.
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