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GCP Data Engineer

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Onsite

GCP Data Engineer

RED Global

GCP Data Engineer

Skills

Google Cloud PlatformSQL QueriesPythonGoogle BigQueryData AnalysisdbtKubernetesTerraform

4 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Panara, Madhya Pradesh 480551, India

Work mode:

Onsite

Published on:

17 October 2026

What they need


GCP Data Engineer

Location: Remote (Across INDIA)

Start Date: ASAP

Duration: 12 months

Important note: Experience within the UK Utilities or Energy sector is mandatory

Key Responsibilities

  • Design, build and optimise scalable ELT pipelines to ingest and process data from multiple source systems.
  • Develop robust data models aligned to business requirements and analytics use cases.
  • Support cloud data platform migration initiatives and modernisation programmes.
  • Curate, transform and manage enterprise datasets to ensure data quality and reliability.
  • Partner with business stakeholders, analysts and engineering teams to deliver impactful data solutions.
  • Continuously improve data products, pipelines and platform capabilities.
  • Provide technical support and guidance to Data Analysts and wider project teams.
  • Contribute to architectural decisions and cross-functional problem-solving activities.

Essential Skills & Experience

  • Strong experience designing and implementing data warehouse solutions.
  • Proven experience building ELT pipelines in cloud environments.
  • Demonstrable experience delivering complex data migration programmes.
  • Strong SQL and data modelling expertise.
  • Experience with cloud data warehouses, particularly Google BigQuery.
  • Experience with transformation frameworks such as dbt or Dataform.
  • Strong analytical, problem-solving and stakeholder engagement skills.
  • Experience developing high-quality, maintainable and scalable code.
  • Ability to optimise data pipelines for performance, reliability and scalability.

Desirable Skills & Experience

  • Experience within the UK Utilities or Energy sector.
  • Exposure to Gentrack Junifer .
  • Knowledge of Data Vault 2.0 modelling methodologies.
  • Python development experience.
  • Infrastructure-as-Code experience (Terraform preferred).
  • GitOps deployment practices.
  • Experience with Kubernetes and containerised environments.
  • Experience working within a cloud-native GCP ecosystem.

Preferred Technology Stack

  • Google Cloud Platform (GCP)
  • BigQuery
  • Dataform / dbt
  • SQL
  • Python
  • Terraform
  • Kubernetes
  • Git / GitOps

Candidate Profile

  • Strong hands-on Data Engineer rather than an Architect.
  • Comfortable operating in a fast-paced product-led environment.
  • Able to engage directly with business stakeholders and analytics teams.
  • Experience building modern cloud-native data platforms and supporting migration programmes.

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