Data Engineer - Analyst

Job Description

Purpose of the role

To produce and deliver Research with differentiated market insights and actionable ideas to Barclays Clients.

Accountabilities

Analysis of market, sector, corporate and/or economic data to help develop investment theses for your coverage universe to produce best in class Research.

Research may range from individual company or sector notes, through to long dated thematic reports.

Presentation of Research views to Barclays Clients; this can be through direct, face to face and virtual interactions, Research hosted events and written communications.

Engagement with Markets, Client Strategy and other stakeholders, to raise awareness of your Research both to Clients and internally. Prioritise interaction with the most relevant and valuable Clients for your Research.

Provision of insights and Research views to internal Clients to help them navigate financial markets and risks.

Collaboration with the Supervisory Analyst, Compliance and other stakeholders to ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.

Requires in-depth technical knowledge and experience in their assigned area of expertise

Thorough understanding of the underlying principles and concepts within the area of expertise

They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.

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 develop technical expertise in work area, acting as an advisor where appropriate.

Will have an impact on the work of related teams within the area.

Partner with other functions and business areas.

Takes responsibility for end results of a team’s operational processing and activities.

Escalate breaches of policies / procedure appropriately.

Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.

Advise and influence decision making within own area of expertise.

Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.

Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.

Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Make evaluative judgements based on the analysis of factual information, paying attention to detail.

Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.

Guide and persuade team members and communicate complex / sensitive information.

Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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 Analyst" 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 ETL

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.