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- Tasks: Join a dynamic team to develop cutting-edge data products and pipelines.
- Company: N Consulting Ltd, a forward-thinking tech company in Glasgow.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career advancement.
- Why this job: Make a real impact in data engineering while working with the latest technologies.
- Qualifications: Experience in cloud data engineering and proficiency in programming languages like Python.
The predicted salary is between 30000 - 31000 £ per year.
Location: Glasgow, United Kingdom
Salary: £300 - £310 /day
Job Type: Contract
Date Posted: April 30th, 2026
Role: Sr. Cloud Data DevOps Engineer
Location: Glasgow
Work Mode: Hybrid (twice a week in office)
Overall purpose of role: As the Sr. Cloud Data DevOps Engineer you will be a key member in a cross-functional team developing products, APIs 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 APIs/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 APIs.
Stakeholder Management and Leadership: Support the Lead Engineer in engaging with Senior Stakeholders in Data Engineering use cases 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 in 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.
Sr. Cloud Data DevOps Engineer employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Cloud Data DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and how it relates to the role.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the position. We suggest mentioning something specific from the interview to make it personal.
✨Tip Number 4
Apply through our website for the best chance of getting noticed! We make it easy for you to showcase your skills and experience directly to the hiring team, so don’t miss out on that opportunity.
We think you need these skills to ace Sr. Cloud Data DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sr. Cloud Data DevOps Engineer role. Highlight your experience with cloud platforms, programming languages, and any relevant projects that showcase your skills in data engineering and DevOps practices.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with the key accountabilities mentioned in the job description. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t forget to emphasise your technical skills in your application. Mention your proficiency in Python, Spark, and any experience with tools like Terraform or Kubernetes. This will help us see how you can contribute to our team right from the start.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Spark, and AWS. Brush up on your knowledge of distributed systems and data engineering products like Snowflake and Databricks. Being able to discuss these confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in a hands-on manner. Think about times when you had to adapt quickly to new technologies or overcome challenges in your projects. This will demonstrate your ability to think on your feet and make effective decisions.
✨Engage with Stakeholders
Since this role involves collaboration with various teams, be ready to talk about your experience in stakeholder management. Share examples of how you've successfully communicated with different levels of engineers and architects, and how you’ve contributed to team success through collaboration.
✨Emphasise Your Continuous Learning
Highlight your commitment to staying updated with the latest technologies and trends in data engineering and DevOps practices. Discuss any recent courses, certifications, or projects that showcase your dedication to professional growth. This will reflect your passion for the field and your proactive approach.