At a Glance
- Tasks: Design and maintain data pipelines and scalable microservices for innovative projects.
- Company: Join Optimove, a forward-thinking tech company in Dundee, Scotland.
- Benefits: Explore new technologies, competitive salary, and collaborative work environment.
- Other info: Great opportunities for career growth and skill development.
- Why this job: Make an impact by driving tech initiatives and optimising product delivery.
- Qualifications: Experience in data infrastructure, Python, Docker, and Kubernetes required.
The predicted salary is between 45000 - 60000 € per year.
Optimove in Dundee, Scotland, is seeking a Backend Developer to play a crucial role in their Tech Org's Data Engineering team. The ideal candidate will have a solid technical background in data infrastructure and architecture, with experience in data pipeline deployment and maintaining cloud technologies.
Responsibilities include:
- Driving technological initiatives
- Designing scalable solutions
- Working collaboratively with various teams to optimize product delivery
The position offers opportunities to explore new data technologies and leverage skills in Python, Docker, and Kubernetes.
Data-Driven Backend Engineer - Pipelines & Microservices in Dundee employer: Optimove
Optimove is an exceptional employer located in the vibrant city of Dundee, Scotland, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from continuous growth opportunities, access to cutting-edge data technologies, and a supportive environment that encourages skill development in areas such as Python, Docker, and Kubernetes. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive impactful technological initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data-Driven Backend Engineer - Pipelines & Microservices in Dundee
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Optimove on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your work with Python, Docker, or Kubernetes, make sure to highlight it during interviews. It’s a great way to demonstrate our hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on data pipeline concepts and cloud technologies. We can practice common coding challenges and system design questions to feel more confident when the time comes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can tailor our application to match what they’re looking for in a Data-Driven Backend Engineer.
We think you need these skills to ace Data-Driven Backend Engineer - Pipelines & Microservices in Dundee
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data infrastructure and cloud technologies. We want to see how your skills in Python, Docker, and Kubernetes align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about the role and how you can contribute to our Data Engineering team. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your skills in action, especially around data pipelines and scalable solutions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Optimove
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Docker, and Kubernetes. Brush up on your knowledge of data infrastructure and architecture, as you'll likely be asked to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in deploying data pipelines or maintaining cloud technologies. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to drive technological initiatives.
✨Collaborative Mindset
Since the role involves working with various teams, be ready to talk about your experience in collaborative environments. Share examples of how you’ve optimised product delivery through teamwork and communication, demonstrating that you can work well with others.
✨Stay Curious About New Technologies
Express your enthusiasm for exploring new data technologies. Research recent trends in data engineering and be prepared to discuss how you would leverage these innovations in your role. This shows that you're proactive and eager to contribute to the team's growth.
