End Date
Monday 29 June 2026We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
The Data Engineer will focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers.Job Description
- Experience Required: 3 to 5 years.
- Mode of work- Hybrid
- Location-Hyderabad
As a support data engineer in the Lab, you’ll support the daily / monthly extracts working within high performing teams and driving engineering excellence to create the right data environment to optimise our frontier Agentic AI system. On need basis you may also extend into development/deployment activities related to stability and improvement of support processes and environment
- Good experience of containerised services (e.g. docker & k8s)
- Knowledge of cloud technologies (AWS/GCP)
- Able to create tests and work with pipelines to prove strong and maintainable code
- Understanding of the entire software development lifecycle and experience in end-to-end delivery of software products
- Experience with agile development methods & tooling, and experience of working as part of an agile team
- Be a great teammate who can build relationships and collaborate efficiently with other teams across a variety of domains.
What we need from you:
- Strong experience in Python and SQL
- You have strong knowledge of data engineering and how to curate data products within GCP.
- Solid understanding of data governance, architecture and lifecycle management
- Experience handling daily file feeds and sharing extracts with downstream for consumption
- Troubleshooting availability and data issues in the source feeds and sharing the information with relevant stakeholders
- Knowledge of Apache Airflow,BigQuery,GCS, shell scripting (Knowledge in Java microservices is added advantage)
- You are passionate about helping to build high quality data products
- You have a keen interest in AI technologies and how these are built, in particular how we provision curated data to optimise their performance
- Be experienced in databases, both RDBMS and NoSQL
- Understanding of data warehouses, lakehouses, etc.
- You want to work in an agile way – with knowledge of DevOps practises and CI/CD principles
- You have effective communication skills and can clearly present ideas and provide direction to others
- You're able to work without supervision and offer mentorship and leadership to others
Skills Required
- 3 to 5 years experience in data engineering
- Strong experience in Python
- Strong experience in SQL
- Experience with GCP and data product curation within GCP
- Knowledge of cloud technologies (AWS/GCP)
- Experience with containerised services (Docker and Kubernetes)
- Knowledge of Apache Airflow, BigQuery, and GCS
- Shell scripting experience
- Experience with RDBMS and NoSQL databases
- Understanding of data governance, architecture, and lifecycle management
- Experience handling daily file feeds and sharing extracts with downstream consumers
- Troubleshooting availability and data issues and communicating with stakeholders
- Familiarity with DevOps practices and CI/CD principles
- Ability to create tests and maintainable pipeline code
- Understanding of software development lifecycle and end-to-end delivery
- Experience working in agile teams and tooling
- Effective communication skills and ability to present ideas
- Ability to work without supervision and provide mentorship/leadership
- Knowledge of Java microservices
- Keen interest in AI technologies and data provisioning for AI
What We Do
Lloyds Technology Centre is the Global Capability Centre of Lloyds Banking Group, based in Hyderabad, India. It functions as a tech and data company providing engineering expertise in cloud computing, data analytics, and cybersecurity. The centre supports the digital transformation of Lloyds Banking Group, a leading UK financial services provider, and operates primarily in the IT services and consulting sector.
