Lloyds Banking Group

Senior Data Engineer

Lloyds Banking Group Hyderabad, Telangana, India

Financial Services · 10,001+ employees

Yesterday Closes in 2d
data-engineer Principal (10+ yrs) Full-time India
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About the role

Design, build, and optimize scalable data pipelines and data products using Google Cloud Platform. Ensure high standards in data architecture, quality, and the implementation of data contracts.

What they look for

Google Cloud Platform BigQuery Dataflow Composer Cloud SQL Kubernetes Dbt Python Sql Data Engineering Data Architecture Data Quality Data Contracts Cloud-based data solutions

Requirements

Requires 7 to 14 years of experience in Cloud Data Engineering with hands-on GCP delivery. Proficiency in Python, SQL, and specific GCP tools like BigQuery, Dataflow, and Composer is essential.

Benefits

Flexible working

Full description

End Date

Monday 05 October 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working

Job Description Summary

We are looking for a Cloud Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and optimise scalable data pipelines and data products. The ideal candidate should have hands-on expertise in BigQuery, Dataflow, Composer, Cloud SQL, Kubernetes, and DBT, along with strong coding skills in Python and SQL.

Job Description

Cloud Data Engineer – GCP

Location - Hyderabad Years of experience - 7 to 14 years  

We are looking for a Cloud Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and optimise scalable data pipelines and data products. The ideal candidate should have hands-on expertise in BigQuery, Dataflow, Composer, Cloud SQL, Kubernetes, and DBT, along with strong coding skills in Python and SQL.

Key Skills:

  • GCP Data Engineering (BigQuery, Dataflow, Composer, Cloud SQL)
  • DBT (Data Build Tool)
  • Data Architecture, Data Quality & Data Contracts
  • Python and SQL development
  • Experience building scalable cloud-based data solutions
  • Knowledge of Kubernetes is preferred

Experience: Relevant experience in Cloud Data Engineering with hands-on GCP delivery.

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