AVP : Data Engineer

Purpose of the role

To support Research Analysts in the production and delivery of Research with differentiated market insights and actionable ideas to Barclays Clients.  

Accountabilities

• Compilation and analysis of data to help Analysts develop investment theses for their coverage areas.
• Presentation of Research views to Barclays Clients by helping to prepare materials or responses to client questions.
• Collaboration with the Analyst, Supervisory Analyst, Compliance and other stakeholders to help ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner.

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 - AVP" at Barclays where you will be doing hands-on data engineering role focused on building production-grade data infrastructure and data products. The overall purpose of the role is to:
 

• Build and maintain data infrastructure that sits on Snowflake and integrate with broader data stack

• Build and maintain pipelines for data products consumed by clients and for research analysis that is consumed by data scientists

• Manage dependencies between pipelines and write tests to ensure data quality at each steps and maintain

• Implement monitoring, logging, alerting for data infrastructure observability

• Productionize models and data analyses and ensure clean deployment to Prod environment.

Key Accountabilities

The main duties of the job will be composed of the following:

• Understanding the Global Research business and products we offer to our clients

• Develop complete understanding of data infrastructure

• Build/maintain Snowflake data stack and integrate with broader data stack (AWS, S3, Athena , Iceberg, SQL databases,)

Design and maintain analytical data models optimised for Snowflake consumption by BI and data science usersl

• Implement CI/CD practices for data pipelines and Snowflake objects across dev/test/prod environments

• Should be comfortable with big-data infrastructure on AWS (via Athena, PySpark and Python) in terms of ET L

• Partnering with IT teams, vendors and business to define data onboarding requirements

• Communicate directly with the stakeholders on a regular basis to discuss solutions proposed for continuous improvement

• Onboard new data sets and write transformations/tools to make them usable

• Integrate with interactive tools and advanced dashboards for BI (Tableau, Power BI)

• CI/CD practices for data pipelines

Person Specification

• Excellent written and verbal communication skills

• Strong attention to detail

• Ability to work effectively in a team environment

• Strong interest in the subject matter

• Should strive towards continuous learning & up-skilling

• Resourcefulness, and proactive attitude

• Demonstrated ability to work in a time sensitive environment

• Experience working with large-scale data

• Experience using git for source control in a team environment, including reviewing pull requests.
 

Essential Skills/Basic Qualifications:

• Strong experience in Snowflake

• Strong experience in writing SQL

• Strong experience in working with Python

• Strong understanding of data pipelining and automation for data extraction and code change management

• Experience with CI/CD for data platforms and environment promotion

• Experience in data visualization and data analytics using Tableau/PowerBI (or similar BI tool) will be a value add

• Knowledge on working with Big Data sets on AWS using Presto/Spark/Athena

• Good communication skills (both verbal and written)

Desirable skills/Preferred Qualifications:

• Experience with orchestration tools (Snowflake Tasks, Dagster, Prefect)

• Experience in data visualization and data analytics infra using Tableau (or similar BI tool) will be a value add

• Past experience with large scale text data or geolocation data

• Prior experience in ML/AI model deployment
 

You may be assessed on key critical skills relevant for success in role, such as designing and maintaining analytical data models, understanding of data pipelining & automation for data extraction and code change management.

This role is based out of Mumbai.