Data Developer
Whippany

As a Barclays Data Developer, you will be a part of the new forces that contribute to driving the Data Analytics, Athis is an outomation and Data Engineering innovations, improving Data Platform and Infrastructure elements of Banking Technology’s data insight application portfolio. This is an opportunity for you to serve the Banking Analysts and Data Scientists’ data needs and identify opportunities to improve banking’s ability to scale analytical data infrastructure and operational efficiency.

Barclays is one of the world's largest and most respected financial institutions, established in 1690, with a legacy of success, quality, and innovation. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.

At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, ‘anchor’, days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.

What will you be doing?

• Creating sophisticated SQL query to retrieve needed data from vast pool of market data sets to support new business intelligence application’s development
• Supporting identity resolution initiatives across the Data Platform
• Architecting/designing new data pipelines for the continued expansion of the data platform mission, deployed code is performant, well-styled, validated, and documented
• Applying hands-on/technical experience of data engineering concepts including ETL, data cleansing and transformation, partitioning
• Contributing to keep stakeholders informed on progress against milestones, risks, issues and dependencies
• Working with Business Analysts to support the maintenance and traceability of requirements through all phases of the project lifecycle (design, build, testing through into implementation)
• Being responsible for participating in education and knowledge transfer sessions with project teams and wider Barclays data community
• Collaborating with investment bankers to discover new data insight or productivity improvement opportunities

What we’re looking for:

• Computer Science, MIS or Business Analytics majors, Master Degree preferred
• Professional level skills in SQL query
• Hands-on experience with Tableau and/or SAP BusinessObject
• Hands-on programming skills Python

Skills that will help you in the role:

• Experience with AWS cloud infrastructure and containers such as OpenShift, Docker+Kubernetes
• Experience creating API endpoints to serve data to other applications
• Knowledge or experience of machine learning models

Where will you be working?

At Barclays, we are proud to be redefining the future of finance and here at Whippany we are defining the future of the workplace and the future of the way we work and live. We are creating a unique community, one of four strategic tech-enabled hubs that will redefine opportunity for everyone who works here. Whatever you do at Whippany, you’ll have every chance to build a world-class career in this world-class environment.

We’re a global, vital and highly respected financial organisation with an inspiring Purpose. Operating in 50 countries and employing around 83,000 people across the world, we help communities, individuals and businesses thrive. And we’ve created financial solutions and technology that the world now takes for granted. A career with us can offer incredible variety, depth and breadth of experience, and the chance to learn from some of the best minds in technology and finance.