At a Glance
- Tasks: Build and maintain cloud infrastructure while ensuring platform reliability and security.
- Company: Join a well-established corporate finance business with a focus on technology and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by enhancing cloud platforms and supporting cutting-edge analytics projects.
- Qualifications: Experience with cloud platforms, containerisation, and strong scripting skills required.
The predicted salary is between 36000 - 60000 € per year.
We’re hiring a Platform Engineer to join a growing Technology & Innovation team within a well-established corporate finance business. This role is primarily focused on cloud infrastructure, deployment, and platform reliability, supporting the build-out of a greenfield analytics and digital platform. You’ll work closely with data engineers and technical leadership to ensure systems are secure, scalable and production-ready. This is a hands-on engineering position suited to someone who enjoys improving environments, automating processes and strengthening cloud foundations.
The Role
You will take ownership of platform and deployment capabilities that underpin data and analytics systems, while maintaining exposure to data workflows and backend services.
Key Responsibilities
- Build and maintain cloud infrastructure (Azure preferred; AWS/GCP welcome)
- Support containerised deployments using Docker (Kubernetes exposure beneficial)
- Contribute to CI/CD pipelines and automated release processes
- Improve observability, monitoring and production reliability
- Strengthen security, access controls and cloud governance practices
- Collaborate with data engineers to ensure scalable and efficient environments
- Support cost optimisation and performance tuning initiatives
Practical experience with a cloud platform (Azure preferred)
- Containerisation experience (Docker)
- Exposure to CI/CD pipelines and DevOps practices
- Experience working in production environments
- Strong scripting or backend skills (Python preferred)
- Good understanding of databases and data storage concepts
- Ability to work independently and communicate clearly within a team
Desirable / Exposure to Data Engineering
- Experience supporting ETL/ELT pipelines
- Familiarity with data platforms
- Exposure to analytics or reporting environments
- Interest in applied AI/ML tooling
Platform Engineer (Data) employer: Accelero
Join a dynamic and innovative corporate finance business that prioritises employee growth and development. As a Platform Engineer, you'll be part of a collaborative team that values creativity and hands-on problem-solving, with access to cutting-edge technology and opportunities for professional advancement. Enjoy a supportive work culture that encourages continuous learning and offers a competitive benefits package, all while contributing to the exciting build-out of a greenfield analytics platform.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer (Data)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to cloud infrastructure and automation. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your scripting and backend skills. Practice common coding challenges and be ready to discuss your experience with CI/CD pipelines and containerisation. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the tech world. Your next opportunity could be just a click away!
We think you need these skills to ace Platform Engineer (Data)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your cloud infrastructure experience, especially with Azure, and any hands-on work with Docker or CI/CD pipelines.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role. Share specific examples of how you've improved environments or automated processes in previous positions, and show us your enthusiasm for working in a tech-driven team.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! Make sure to include your scripting abilities, experience with databases, and any exposure to data engineering or analytics. We want to see what you bring to the table!
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 us you’re keen on joining our team!
How to prepare for a job interview at Accelero
✨Know Your Cloud Stuff
Make sure you brush up on your cloud infrastructure knowledge, especially Azure, as it's preferred for this role. Be ready to discuss your hands-on experience with cloud platforms and how you've built or maintained cloud environments in the past.
✨Show Off Your Container Skills
Since containerisation is key, be prepared to talk about your experience with Docker and any exposure you have to Kubernetes. Share specific examples of how you've used these tools to support deployments and improve platform reliability.
✨CI/CD is Your Best Friend
Familiarise yourself with CI/CD pipelines and DevOps practices. Be ready to explain how you've contributed to automated release processes in previous roles, and how this has improved efficiency and reliability in your projects.
✨Communicate Clearly
This role involves collaboration with data engineers and technical leadership, so practice articulating your thoughts clearly. Think about how you can convey complex technical concepts in a straightforward way, showcasing your ability to work well within a team.
