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Date live:
Sep. 24, 2026
Business Area:
Corporate Digital Banking
Area of Expertise:
Technology
Reference Code:
JR-0000087930
Contract:
Permanent
Take a look at the map to see what’s nearby. Train stations & bus stops, gyms, restaurants and more.
Explore locationJoin us as a Data Engineer at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
We are seeking a highly skilled Data Engineer to lead the design, development, and optimization of enterprise-scale data platforms and data products. The role requires strong expertise in Databricks, Snowflake, Spark, cloud-based data engineering, and modern data architectures. The candidate will be responsible for building scalable data pipelines, enabling self-service analytics, driving platform modernization initiatives, and leading a team of data engineers to deliver business-critical data products.
The ideal candidate will have experience working in a large-scale enterprise environment, preferably within Banking, Financial Services, or highly regulated industries.
To be successful as a Data Engineer , you should have experience with:
Strong experience in Databricks Lakehouse Platform.
Expert-level knowledge of Apache Spark (PySpark and Spark SQL).
Strong programming skills in Python.
Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
Strong SQL tuning and performance optimization skills.
Strong hands-on experience in Python and PySpark-based development
Solid understanding of Linux environments with scripting expertise
Experience working with scheduling/orchestration tools such as TWS and Airflow
Proficient in Git and GitLab for version control and CI/CD workflows
Good exposure to AWS ecosystem, including Glue, Lambda, S3, Lake Formation, and Athena
Data Engineering Expertise
ETL/ELT framework development.
CDC (Change Data Capture) implementations.
Data Quality frameworks.
Batch and Real-Time processing.
Data Governance and Metadata Management.
Data Lineage and Data Catalog solutions.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job‑specific technical skills.
The role is based out of Pune.
Purpose of the role
To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.