Role: Sr. Cloud Data DevOps Engineer
Location: Glasgow
Work Mode: Hybrid (twice a week in office)
Job Type: Contract
Detailed JD:
Overall purpose of role
As the Sr. Cloud Data DevOps Engineer you will be key member in a cross-functional team developing products, API’s and pipelines for enabling a modern and well-equipped Data Engineering landscape for our customers, where security, governance and controls are at the forefront for rapid data product development. You will be responsible for the development of distributed systems, infrastructure and API’s/Pipelines to ensure that our data engineering pipelines are performant, scalable and robust.
Key Accountabilities
• Design and implement infrastructure to support data engineering roadmaps.
• Develop and deploy enterprise-ready products and API’s.
Stakeholder Management and Leadership
Support the Lead Engineer in engaging with Senior Stakeholders in Data Engineering usecase and customer groups. The role will require collaboration with architects and engineers of all levels in multiple teams across the bank, as well as security and infrastructure teams.
Decision-making and Problem Solving
This is a hands-on technical role and requires adaptable thinking and a commitment to stay up to date with the latest technology and provide solutions that work at enterprise-scale.
Risk and Control Objective
Take ownership for managing risk and strengthening controls in relation to the work you do.
Person Specification:
An experienced Cloud Data Engineer with a passion for developing data platforms/products. You are a collaborative team player who likes to get hands-on in the development of technical products. As a dedicated professional you will stay up to date with the latest technologies to help your team make the best technical decisions.
Essential Skills/Basic Qualifications:
• Bachelor’s in Computer Science, related fields, or equivalent experience.
• Proficiency in one of the programming languages - Python, Spark, and IaC ( Terraform/Cloud Formation ).
- Proven Experience Distributed Systems, Data Engineering Products/Platforms like Snowflake/Databricks, Spark, Airflow, DBT etc.
• Cloud platforms experience (AWS).
• DevOps practices – GitOps, Terraform, Kubernetes.
Desirable skills/Preferred Qualifications:
• Strong evidence of Data Engineering work.
- Experience with Snowflake/Databricks, Airflow, Docker, Kubernetes, understanding of Data products, data strategy data pipelines.