Senior Data Engineer Job at Barclays (New York)

Senior Data Engineer

Barclays

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

170000.00 - 230000.00 USD / Year

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Job Description:

Embark on a transformative journey as a Senior Data Engineer – VP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you’ll work on a greenfield data and intelligence platform for Equities, helping to shape the architecture, tooling, and strategic direction of a modern data ecosystem. You’ll collaborate with global engineering and business teams to enable scalable analytics, real-time insights, and data-driven decision-making across the trading business.

Job Responsibility:

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
Contribute or set strategy, drive requirements and make recommendations for change
Plan resources, budgets, and policies
manage and maintain policies/ processes
deliver continuous improvements and escalate breaches of policies/procedures
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment
Manage and mitigate risks through assessment, in support of the control and governance agenda
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives
Adopt and include the outcomes of extensive research in problem solving processes
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes

Requirements:

Experience with Python for data engineering and services, including FastAPI, PySpark, Pydantic, and asyncio
Experience with Cloud platforms and data services across AWS such as EC2, ECS/Fargate, EMR, Glue, and S3
Experience with Data orchestration and workflow tools such as Airflow or Dagster
Experience with Modern data lake and storage ecosystems including Iceberg, Parquet, and data catalogs
Experience with Caching and performance optimization for production systems such as Redis

Nice to have:

Experience with Databricks or Snowflake
Experience with Observability and monitoring platforms such as Grafana or Splunk
Experience with Streaming and messaging technologies such as Kafka

What we offer:

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Wellness center with fitness centres
Health center providing primary and urgent care, wellness exams, health coaching, and vaccinations
Variety of sophisticated dining options

Additional Information:

Job Posted:
February 17, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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