Barclays Is Hiring Data Engineer in Chennai – Apply Now

Barclays Data Engineer Jobs offer an opportunity to work on data engineering systems that support a large-scale financial technology environment. Barclays is hiring for a Data Engineer ETL position based in Chennai, India, within the Functions Technology business area and Technology area of expertise. The position is a permanent role with reference code JR-0000086233 and was listed as live on 10 June 2026.

The role focuses on building and maintaining systems that collect, store, process and analyse data. The selected candidate will work with data pipelines, data warehouses and data lakes while helping ensure that data remains accurate, accessible and secure. The position also involves solving complex technical problems and working closely with engineers, business analysts and business stakeholders.

Candidates applying for this opportunity should have relevant experience with ETL technologies, strong SQL skills, Unix and Bash scripting, and data modelling. Barclays specifically mentions Ab Initio and dbt as preferred ETL skills. Knowledge of Tivoli and/or Autosys is also relevant to the position.

The role may also involve collaboration with data scientists to support the development and deployment of machine learning models. Additional technical skills in Python or Java, together with communication and teamwork abilities, are valued for the position.

The Data Engineer ETL will contribute to the development and maintenance of data systems used to collect, process, store and analyse information. The role requires candidates to understand business requirements and translate them into quality technical solutions.

Key responsibilities include:

• Build and maintain data architectures and pipelines that support the transfer and processing of complete, consistent and durable data.
• Design and implement data warehouses and data lakes capable of managing appropriate data volumes and velocity.
• Ensure data solutions follow required security measures.
• Develop processing and analysis algorithms suitable for the complexity and volume of data.
• Work with data scientists to help build and deploy machine learning models.
• Analyse complex technical problems and develop appropriate solutions.
• Work with engineers, business analysts and business stakeholders to understand requirements.
• Perform complex analysis using information from multiple internal and external sources.
• Collaborate with other teams and business areas to support organisational objectives.
• Identify and manage risks associated with the work while strengthening controls.
• Communicate complex information effectively to relevant stakeholders.
• Contribute to technology and transformation initiatives within the business.

The role also carries responsibilities associated with Barclays’ Assistant Vice President expectations, including influencing decision-making, supporting operational effectiveness and collaborating across business functions.

The Barclays job description identifies the following technical skills as relevant:

• ETL
• Ab Initio
• dbt
• Strong SQL
• Unix
• Bash scripting
• Tivoli and/or Autosys
• Data modelling
• Conceptual data modelling
• Logical data modelling
• Physical data modelling
• Python
• Java
• Data pipelines
• Data warehouses
• Data lakes
• Data processing and analysis

Candidates should also demonstrate:

• Strong analytical skills
• Problem-solving ability
• Good communication skills
• Teamwork and collaboration
• Ability to understand business requirements
• Ability to communicate complex technical information
• Stakeholder management
• Risk awareness
• Ability to work across different business functions

ETL and SQL skills are central to the position because the role involves building and maintaining systems that transfer and process data. Knowledge of Ab Initio and dbt can be particularly relevant because Barclays identifies them as preferred ETL technologies.

Unix and Bash scripting can support data-processing and operational activities, while Tivoli and/or Autosys knowledge can be useful for scheduling and managing data-related processes. Data modelling skills are important because the position involves working with data architectures, warehouses and lakes.

Python and Java are listed as additional valued skills. Candidates with experience working alongside data scientists may also find their background relevant because the role includes collaboration on machine learning model development and deployment.

Candidates applying for the Barclays Data Engineer ETL position should make their resume closely reflect the technologies and responsibilities mentioned in the official job description.

Consider highlighting:

• ETL development and data integration experience.
• Hands-on experience with Ab Initio or dbt, if applicable.
• Strong SQL development and database experience.
• Unix and Bash scripting knowledge.
• Experience with Tivoli or Autosys.
• Conceptual, logical and physical data modelling.
• Data pipeline development and maintenance.
• Data warehouse and data lake experience.
• Python or Java programming experience.
• Experience analysing complex data problems.
• Collaboration with engineers, analysts and business stakeholders.
• Experience supporting data science or machine learning initiatives.
• Risk, controls and governance experience where relevant.
• Communication and teamwork skills.

Candidates should use specific examples from their previous projects or professional experience rather than listing technologies without context.

This opportunity may be relevant to data engineering professionals who want to work within a global financial technology environment. The role provides exposure to data pipelines, data warehouses, data lakes, data processing and analytical systems.

Barclays also describes its technology environment as supporting millions of customers and clients worldwide. Its Chennai location is a significant technology and business centre, with more than 5,000 Barclays colleagues across Finance, HR, operational and technology functions according to the supplied job information.

The position may be particularly relevant to candidates whose experience combines traditional data engineering with modern data-processing or machine learning environments. The job description also places emphasis on collaboration, analytical problem-solving, risk management and stakeholder communication.

The role is based at Barclays’ Chennai location, with structured hybrid working. Candidates should discuss the specific working pattern with the hiring manager because the arrangement may depend on business requirements.

Candidates can use the application link provided below to submit their applications. Review the complete job requirements and application details on the employer’s careers page before applying.