Senior Data Engineer

End Date

Thursday 27 August 2026

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

Flexible 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.