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Data Engineer

Barclays Business Banking

Glasgow

On-site

GBP 40,000 - 70,000

Full time

4 days ago
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Job summary

Join Barclays as a Data Engineer and contribute to a transformational journey in banking. In this role, you’ll be responsible for building and maintaining data architecture pipelines and collaborating with data scientists to enhance data accessibility and security, shaping the future of banking with innovative solutions.

Qualifications

  • Experience with CI/CD Pipelines - GitLab.
  • Experience with Cloud Technologies: AWS, Iceberg, Snowflake, Databricks.
  • Automation using Python/Bash Scripting.

Responsibilities

  • Build and maintain data architecture pipelines for data transfer and processing.
  • Collaborate with data scientists to build and deploy machine learning models.
  • Design and implement data warehouses and lakes with security measures.

Skills

CI/CD Pipelines
Cloud Technologies
Containerization
Data Processing
Automation
Workflow Management

Job description

Embark on a transformative journey as a Data Engineer at Barclays. Our vision is to redefine the future of banking and craft innovative solutions.

Requirements:

  • Experience with CI/CD Pipelines - GitLab
  • Cloud Technologies such as AWS, Iceberg, Snowflake, Databricks
  • Containerization/Orchestration: Docker/Kubernetes
  • Framework Components: Spark/Scala/Kafka
  • Unix: Scripting and Configuration

Highly Valued Skills:

  • Automation with Python/Bash Scripting
  • Database experience: Teradata, Oracle
  • Workflow Management: Apache Airflow

This role is located in Glasgow.

Purpose of the role: To build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security.

Accountabilities:

  • Build and maintain data architecture pipelines for data transfer and processing.
  • Design and implement data warehouses and lakes with appropriate security measures.
  • Develop algorithms for data processing and analysis.
  • Collaborate with data scientists to build and deploy machine learning models.

Assistant Vice President Expectations:

  • Advise and influence decision-making, contribute to policy development, and ensure operational effectiveness.
  • Lead a team or guide collaborative assignments, setting objectives and coaching team members.
  • Demonstrate leadership behaviors: Listen, Energize, Align, Develop.
  • Manage risk, strengthen controls, and develop policies/procedures.
  • Engage in complex data analysis and communicate effectively with stakeholders.

All colleagues are expected to embody Barclays' values: Respect, Integrity, Service, Excellence, and Stewardship, and demonstrate the Barclays Mindset: Empower, Challenge, and Drive.

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