Senior Backend Engineer - Cloud & Data Pipelines (Hybrid)

Senior Backend Engineer - Cloud & Data Pipelines (Hybrid)

Full-Time 60000 - 80000 € / year (est.) No home office possible
Applied Data Science Partners

At a Glance

  • Tasks: Design and develop software solutions for data pipelines and APIs using Python and Docker.
  • Company: Join a supportive team at Applied Data Science Partners, focused on innovation.
  • Benefits: Enjoy competitive pay, 26 days leave, BUPA healthcare, and flexible hybrid work.
  • Other info: Great opportunities for personal development in a dynamic environment.
  • Why this job: Make an impact by mentoring junior engineers and ensuring software quality.
  • Qualifications: Expertise in Python, Docker, and cloud services required.

The predicted salary is between 60000 - 80000 € per year.

Applied Data Science Partners seeks a Senior Software Engineer (Backend) to design, develop, and deploy software solutions. You will work on data pipelines and APIs, utilizing your expertise in Python, Docker, and cloud services. The role involves mentoring junior engineers and ensuring the quality of software through best practices.

The company offers competitive compensation, 26 days of leave, BUPA healthcare, and a flexible hybrid working model. Join a supportive team that values innovation and personal development.

Senior Backend Engineer - Cloud & Data Pipelines (Hybrid) employer: Applied Data Science Partners

Applied Data Science Partners is an exceptional employer that prioritises innovation and personal development, making it an ideal place for a Senior Backend Engineer. With a competitive compensation package, generous leave policy, and comprehensive BUPA healthcare, employees enjoy a supportive work culture that fosters growth and collaboration. The hybrid working model allows for flexibility, ensuring a healthy work-life balance while contributing to impactful projects in cloud and data pipelines.

Applied Data Science Partners

Contact Detail:

Applied Data Science Partners Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Backend Engineer - Cloud & Data Pipelines (Hybrid)

Tip Number 1

Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.

Tip Number 2

Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects, especially those involving Python, Docker, and cloud services. This will help you stand out during interviews.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for backend engineers. Mock interviews with friends or using online platforms can boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in the process.

We think you need these skills to ace Senior Backend Engineer - Cloud & Data Pipelines (Hybrid)

Python
Docker
Cloud Services
API Development
Software Design
Software Deployment
Mentoring

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python, Docker, and cloud services in your application. We want to see how you've used these tools in real projects, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to designing and deploying software solutions, as well as mentoring junior engineers. It helps us see you as a perfect fit!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. This way, we can easily understand your qualifications and experiences.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Applied Data Science Partners

Know Your Tech Stack

Make sure you’re well-versed in Python, Docker, and cloud services. Brush up on your knowledge of data pipelines and APIs, as these will be key topics during the interview. Being able to discuss your past experiences with these technologies will show that you’re a strong fit for the role.

Showcase Your Mentoring Skills

Since the role involves mentoring junior engineers, be prepared to share examples of how you've supported others in their development. Think about specific instances where you’ve guided a team member or improved a process, as this will demonstrate your leadership capabilities.

Emphasise Best Practices

Discuss your approach to ensuring software quality through best practices. Be ready to talk about testing, code reviews, and any methodologies you follow. This will highlight your commitment to delivering high-quality solutions, which is crucial for the position.

Cultural Fit Matters

Research Applied Data Science Partners and understand their values around innovation and personal development. Prepare to discuss how your own values align with theirs, and think about how you can contribute to their supportive team environment. This will help you stand out as a candidate who not only has the skills but also fits well within their culture.