End Date
Thursday 27 August 2026
We Support Flexible Working – Click here for more information on flexible working options
Versatile Working Options
Hybrid Working
Job Description Summary
The Data Engineer will collaborate with the Data Operations, Software Engineers, Data Scientists, and Business SMEs to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs.
Job Description
Experience: 9-15 years
Location: Hyderabad
Job Type: Full Time
SQL Querying - Write complex and efficient SQL queries
Design, develop, and maintain models, pipelines and transformations with GCP services (BigQuery, Dataflow, DBT, Cloud Storage etc) and Apache Kafka Connect.
Good at scripting in Sql, bash, python, terraform, java etc.
Fluent with source control tools like git + github
Built automated regressions tests, integrated with CI/CD, that validate the requirements are met e.g. cucumber.




Good understanding of architecture/Systems thinking with cloud native principles
Proactive at using metrics to inform performance optimisations.
Able to listen, reflect and respect the views of others as well as being able to communicate your own opinion appropriately.
Passionate about driving a modern and inclusive working culture
A growth mindset, happy to share what is known and absorb what is new.
We deeply value diversity and are proudly committed to being an equal opportunity employer.
If this is you, please get in touch
Location and Hybrid working
The role is based in London with some travel to the other two locations. You should expect to be in office at least two days per week with home-working available for the remaining days.

📌 Senior Data Engineer (Hyderabad)
🏢 Lloyds Banking Group
📍 Hyderabad