GCP Data Engineer
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Job Description
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.
More Info
Key Skills
About Company
Skills:
Python, Databricks, Sql, Cloud Storage, DataFlow, Pyspark, BigQuery, Dataproc, Terraform, Gcp, Cloud Composer, Pub Sub, Delta Lake, Structured Streaming
Skills:
BigQuery, Sql, Python, Gcp, DataFlow, Pyspark
Skills:
Spark, Sql, ELT, DataFlow, BigQuery, Etl, Data Warehousing, Dataproc, Python, Metadata Management, Version Control, Airflow, Cloud Composer, DataOps, cloud platforms, data quality frameworks, Monitoring, dbt, agile delivery, Dataform
Skills:
Python, Sql, Apache Airflow, Cloud Storage, DataFlow, Data Modelling, BigQuery, Google Cloud Platform, Workflow orchestration tools, Cloud Composer, Kafka streaming, Pub/Sub, Python SDK integrations, ELT pipelines, Cloud Functions, Teradata, powerdesigner
Skills:
Sql, Python, Iam, Git, Exploratory Data Analysis, Statistics, ETL Pipeline, Airflow, Cloud Platforms GCP