Data Engineer

Job Description

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

• Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning.
• Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring.
• Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience.
• Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning.
• Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations.
• Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.

Join 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.