GCP Data Engineer
Job Description
Data Engineer - GCP 525- 550 per day Inside IR35
6-Month Contract Hybrid - 2 Days Onsite in Isleworth
83zero are working with a leading media and broadcasting organisation who are looking for an experienced Data Engineer to join their engineering team on an initial 6-month contract .
This is a hands-on engineering role focused on building and supporting cloud-native data applications, services and scalable data pipelines within Google Cloud Platform .
We are looking for someone with a strong software engineering mindset who is comfortable developing production-grade applications, working with large-scale data platforms and automating cloud infrastructure.
What You'll Be Doing
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Designing, developing and maintaining scalable data applications and engineering solutions within GCP.
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Building production-grade ETL and data processing pipelines handling large volumes of data.
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Developing cloud-native applications and services using Python, Go and BASH .
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Working extensively with GCP technologies , including BigQuery, Pub/Sub and Dataflow .
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Building and integrating APIs, services and automated workflows across the data platform.
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Writing reusable, maintainable and well-tested application code.
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Automating cloud infrastructure and deployments using Terraform and Ansible .
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Building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI or GoCD.
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Supporting applications and services running within Linux-based environments .
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Troubleshooting performance, reliability and production issues across applications and data pipelines.
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Working closely with engineering and product teams to deliver scalable, reliable solutions into production.
What We're Looking For
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Strong commercial experience as a Data Engineer / Software Engineer / Data Application Engineer .
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Excellent hands-on development experience with Python , ideally alongside Go and BASH .
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Strong experience building applications, services and data pipelines within Google Cloud Platform .
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Hands-on knowledge of BigQuery, Pub/Sub and Dataflow .
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Experience designing and developing scalable ETL / data processing solutions .
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Good understanding of software engineering principles , testing and production-grade development.
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Strong experience with Infrastructure as Code , particularly Terraform and ideally Ansible.
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Experience working with CI/CD and automated deployment pipelines .
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Strong knowledge of Linux environments .
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Comfortable working within a large-scale engineering environment and taking ownership of solutions through development, deployment and production support.
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Able to work 2 days per week onsite in Osterley .
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