Sr. Cloud Data DevOps Engineer
Posted 4 days ago by Infoplus Technologies UK Limited
Negotiable
Undetermined
Hybrid
Glasgow, Scotland, United Kingdom
Summary: The Sr. Cloud Data DevOps Engineer will play a crucial role in a cross-functional team focused on developing products, APIs, and pipelines to enhance the Data Engineering landscape. This position emphasizes security, governance, and controls while ensuring the performance and scalability of data engineering pipelines. The role requires collaboration with various stakeholders and a commitment to staying updated with the latest technologies. The ideal candidate will have a strong background in cloud data engineering and a passion for developing data platforms and products.
Key Responsibilities:
- Design and implement infrastructure to support data engineering roadmaps.
- Develop and deploy enterprise-ready products and APIs.
- Support the Lead Engineer in engaging with Senior Stakeholders in Data Engineering use cases and customer groups.
- Collaborate with architects and engineers across multiple teams, including security and infrastructure teams.
- Provide hands-on technical solutions that work at enterprise-scale.
- Manage risk and strengthen controls related to the work performed.
Key Skills:
- Bachelor’s in Computer Science or related fields, or equivalent experience.
- Proficiency in programming languages such as Python, Spark, and Infrastructure as Code (Terraform/Cloud Formation).
- Proven experience with distributed systems and Data Engineering products/platforms like Snowflake/Databricks, Spark, Airflow, DBT.
- Experience with cloud platforms, specifically AWS.
- Familiarity with DevOps practices including GitOps, Terraform, and Kubernetes.
- Strong evidence of Data Engineering work and understanding of data products and data strategy.
Salary (Rate): undetermined
City: Glasgow
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Sr. Cloud Data DevOps Engineer
Location: Glasgow, UK (Hybrid)
Type: Contract Position
Please find below JD:
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.