Sr. Cloud Data Platform Engineer

Barclays UK; Glasgow; On-site; GBP 60,000 - 85,000; Full time

Job summary

Barclays is seeking a Senior Cloud Data Platform Engineer in Glasgow to develop and maintain robust data systems. You'll be responsible for ensuring data accuracy, accessibility, and security, working with modern tools and platforms while collaborating with various teams. If you possess strong skills in cloud technologies and data engineering practices, this role offers the opportunity to influence data-driven decisions and lead initiatives in a dynamic environment.

Qualifications

• Experience with cloud platforms like AWS or Azure.
• Proficiency in data engineering tools (Airflow/DBT, Spark) is vital.
• DevSecOps practices and familiarity with Terraform are advantageous.

Responsibilities

• Build and maintain data architecture pipelines to ensure data integrity.
• Design data warehouses and lakes, ensuring compliance with security standards.
• Collaborate with data scientists for machine learning model deployment.

Skills

Cloud platforms (AWS/Azure)

Data Engineering (Airflow/DBT, Spark)

DevSecOps practices

Terraform

Python

Java

AWS/Azure Data Engineering

Snowflake

Databricks

Job description

Join Barclays as a Senior Cloud Data Platform Engineer, where you’ll be responsible for building and maintaining systems that collect, store, process, and evaluate data—such as data pipelines, data warehouses, and data lakes—to ensure all data is accurate, accessible, and secure.

To be successful in this role, you should have experience with:

• Cloud platforms (AWS/Azure)
• Data Engineering (Airflow/DBT, Spark)
• DevSecOps practices

Additional highly valued skills include:

• Terraform
• Python/Java
• AWS/Azure Data Engineering
• Snowflake/Databricks

You may be assessed on key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills.

This role is based in Glasgow.

Purpose of the role

To build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes, ensuring data is accurate, accessible, and secure.

Accountabilities

• Build and maintain data architecture pipelines that enable transfer and processing of durable, complete, and consistent data.
• Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity while adhering to security measures.
• Develop processing and analysis algorithms suited for the data's complexity and volume.
• Collaborate with data scientists to build and deploy machine learning models.

Vice President Expectations

• Contribute to strategy, drive requirements, and recommend changes. Plan resources, budgets, and policies; manage policies and processes; deliver continuous improvements; escalate breaches.
• If managing a team, define roles and responsibilities, plan for future needs, coach employees, and contribute to pay decisions. Lead specialists to influence operations, balance goals, and ensure budgets and schedules meet requirements.
• Demonstrate leadership behaviors: Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others.
• For individual contributors, serve as a subject matter expert, guide technical direction, lead assignments, and mentor less experienced colleagues.
• Advise stakeholders, manage risks, and strengthen controls.
• Understand organizational functions to contribute to business goals.
• Collaborate across areas, develop innovative solutions, and incorporate research outcomes.
• Build trusting relationships with stakeholders, using influencing and negotiating skills.

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