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Data Engineer

Barclays Open
Pune Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Barclays. Pune · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationPune
EmploymentFull-time
PostedSep 8, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain pipelines that move data while preserving its completeness, consistency and durability
  • Design warehouses and data lakes to handle required data volumes and speed while meeting security controls
  • Create processing and analysis algorithms suited to the complexity and scale of the data
  • Work with data scientists to develop and deploy machine-learning models
  • Support SAP BusinessObjects platforms through administration, upgrades, migrations and troubleshooting

What you bring

  • You have strong experience administering and supporting SAP BusinessObjects, including the BI 4.x platform
  • You can work with the Central Management Console, File Repository Server and Information Design Tool
  • You bring SAP BO installation and upgrade experience, plus Windows Server and Linux or Unix knowledge
  • You have strong SQL and database troubleshooting skills, along with hands-on experience in AWS, Azure, Snowflake or Databricks
  • You understand ITIL-based support practices

Who this fits

This mid-level role is based in Pune and suits someone focused on SAP BusinessObjects administration and enterprise BI support. You’ll also work across data engineering tasks, including pipelines, data platforms and collaboration with data scientists.

From the employer

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes.
  • Collaboration with data scientist to build and deploy machine learning models.

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.

To be successful as a Data Engineer, you should have experience with:

  • Strong experience in SAP BusinessObjects Administration and Support.
  • Hands-on experience with SAP BO BI 4.x platform administration.
  • In-depth knowledge of Central Management Console, File Repository Server & Information Design Tool.
  • Experience with SAP BO installation, configuration, upgrades, patching, and migrations.
  • Good understanding of Windows Server administration.
  • Understanding of Linux/Unix operating systems.
  • Strong SQL and database troubleshooting skills.
  • Hands-on experience with AWS, Azure, Snowflake, Databricks Platforms.
  • Familiarity with ITIL-based support frameworks.

Some other highly valued skills may include:

  • Experience with SAP BusinessObjects BI 2025 upgrade projects.
  • Knowledge of Tableau, Power BI, or Qlik platforms.
  • Experience with automation scripting (PowerShell, Python, Shell Scripting).
  • Familiarity with CI/CD pipelines, DevOps practices, and release automation.
  • Experience in SAP BusinessObjects Administration and Enterprise BI Platform Support.

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.