Barclays

HQ
London
Total Offices: 30
83,500 Total Employees

Barclays Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers charitable contribution matching

Offers occupational accident insurance

Provides adoption assistance

Provides family medical leave

Provides fertility benefits

Offers childcare benefits

Offers generous parental leave

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers healthcare on-site

Company Culture

Provides commuter benefits

Offers legal assistance

Provides a mobile phone discount

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Recently posted jobs

19 Hours AgoSaved
In-Office
Pune, Maharashtra, IND
Fintech • Financial Services
The BA-4 AWS Data Engineer builds and maintains data systems, collaborates with data scientists, and drives innovation in digital offerings, focusing on data architecture and analytics.
19 Hours AgoSaved
In-Office
Pune, Maharashtra, IND
Fintech • Financial Services
Design, develop, and execute testing strategies while collaborating with teams to resolve defects and improve testing processes, ensuring software quality.
19 Hours AgoSaved
In-Office
Pune, Maharashtra, IND
Fintech • Financial Services
Design, build and maintain scalable data pipelines, data warehouses and data lakes using AWS and Snowflake. Develop data processing algorithms, support ML model deployment, ensure data governance and security, lead or guide a team, and collaborate with stakeholders to translate requirements into ETL/ELT solutions.