Senior Data Engineer

Lloyds Banking Group; Hyderabad; Hybrid; INR 1,600,000 - 3,200,000; Full time

Job summary

Lloyds Banking Group in Hyderabad is seeking a Cloud Data Engineer with 7 to 14 years of experience to design, build, and optimize scalable data pipelines and data products on Google Cloud Platform.

The ideal candidate will have hands-on expertise with BigQuery, Dataflow, Composer, Cloud SQL, Kubernetes, and DBT, and will code proficiently in Python and SQL to deliver robust data solutions.

Qualifications

• 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

Responsibilities

• Design, build, and optimise scalable data pipelines and data products on GCP.
• Work with BigQuery, Dataflow, Composer, Cloud SQL, DBT and Python/SQL to deliver data solutions.

Skills

GCP Data Eng

BigQuery

Dataflow

Composer

Cloud SQL

Kubernetes

DBT

Python

SQL

Data Architecture

Data Quality

Data Contracts

Cloud Solutions

Job description

Job 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.