At a Glance
- Tasks: Design and implement cutting-edge data engineering infrastructure and develop enterprise-ready products.
- Company: Join a leading bank with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team culture with excellent career advancement opportunities.
- Why this job: Be at the forefront of data engineering and make a real impact in a dynamic environment.
- Qualifications: Experience in cloud data engineering and proficiency in programming languages like Python or Spark.
The predicted salary is between 60000 - 80000 € per year.
Overall purpose of role: As the Sr. Cloud Data DevOps Engineer, you will be a key member of 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 Global
As a leading employer in the tech industry, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our commitment to professional growth is evident through continuous learning opportunities and hands-on experience with cutting-edge technologies, all while working in a dynamic environment that prioritises security and governance. Located in a vibrant area, we offer a unique blend of career advancement and a supportive community, making us an ideal choice for those seeking meaningful and rewarding employment.
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 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
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way for us to demonstrate our expertise in cloud data engineering and DevOps practices.
✨Tip Number 3
Prepare for those interviews! Research common questions related to cloud data engineering and DevOps. Practising your answers will help us feel more confident and ready to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 reflects the skills and experiences that match the job description. Highlight your proficiency in programming languages like Python and your experience with cloud platforms such as AWS. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your hands-on experience with tools like Snowflake and Databricks.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them! Whether it's developing APIs or implementing infrastructure, we love to see real-world examples of your work. This helps us understand your practical skills better.
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 Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Spark, and Terraform. Brush up on your knowledge of distributed systems and data engineering platforms like Snowflake and Databricks, as these will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with different stakeholders. Share specific examples of how you've engaged with architects, engineers, or security teams to deliver successful projects.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle some technical challenges during the interview. Think through your approach to problem-solving and be prepared to explain your thought process. Highlight any hands-on experience you have with DevOps practices and how you’ve applied them to overcome obstacles.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent developments in cloud data engineering and DevOps. Mention any new tools or technologies you’ve been exploring, and how they could benefit the team. This will demonstrate your commitment to continuous learning and staying ahead in the industry.
