At a Glance
- Tasks: Join our team to build and enhance data platforms that power analytics and AI workflows.
- Company: King, a leading gaming company with a focus on data-driven innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with exposure to diverse data tools and career advancement.
- Why this job: Make a real impact on data systems while learning from experienced engineers.
- Qualifications: 2+ years in platform or software engineering; familiarity with cloud platforms and CI/CD.
The predicted salary is between 50000 - 65000 € per year.
We’re looking for a motivated and curious Data Platform Engineer to join our Data Foundations team and help build, operate, and evolve the internal data platforms that power analytics, data science, and emerging AI workflows across King.
With over 65 petabytes of data and 130+ billion events generated every day, data is at the heart of King’s business. The Game Platform Data organisation, distributed across Barcelona, London, and Stockholm, is responsible for ingesting, processing, and exposing this data in a reliable, scalable, and usable way. You will be part of the Data Foundations team, owning and operating the shared data platforms and services used by hundreds of practitioners across the company.
Responsibilities
- Help operate, monitor, and maintain shared data platforms and services, ensuring reliability and performance for data engineering, analytics, and data science workflows.
- Contribute to the operation and administration of third‑party platforms, including configuration, access management, upgrades, and extensions with integrations and tooling to meet internal needs.
- Contribute to platform lifecycle activities such as upgrades, dependency management, and improvements to stability, security, and scalability.
- Build and improve automation, tooling, and services in Python to support platform operations, user workflows, and emerging use cases.
- Assist in integrating internal and external systems, enabling seamless data, metadata, and workflow connectivity across platforms.
- Work with more experienced engineers to design and implement scalable and maintainable solutions, learning best practices along the way.
- Collaborate with data scientists, analysts, and data engineers to understand their needs and help improve the platforms they rely on.
- Support the development of reusable components, libraries, and patterns that improve consistency and developer experience across shared platforms.
- Participate in incident response, debugging, and operational support to diagnose and resolve issues in production systems.
- Contribute to documentation, code reviews, and knowledge sharing, building your skills while supporting a strong engineering culture.
Required Qualifications
- At least two years of professional experience in a relevant field such as platform engineering, software engineering, or data engineering.
- Familiarity with cloud platforms such as GCP, AWS, or Azure.
- Experience with CI/CD pipelines, version control, and basic DevOps practices.
- Experience with infrastructure as code tools such as Terraform or Crossplane.
- Experience supporting or operating production systems.
- Good understanding of containers (Docker) and orchestration (Kubernetes).
- Strong interest in data platforms and how data is used across organisations.
- Willingness to learn from others and develop new skills across different domains.
- Excellent communication skills and a collaborative, customer‑focused mindset.
Bonus Skills
- Experience working with data tools or platforms such as orchestration tools, BI platforms, notebook environments, or data warehouses.
- Strong working knowledge of Python, including writing clean, maintainable code.
- Familiarity with SQL and data modelling concepts.
- Interest in improving developer experience and internal tooling.
- Exposure to metadata management, data discovery, or data governance concepts.
- Understanding of data science and analytics workflows and tooling.
- Understanding of data engineering workflows and tooling.
Why This Role Is Different
This is not a narrow engineering role focused on a single system or technology. You will work across a range of data platforms and tools, gaining exposure to how data systems are designed, operated, and improved at scale, while learning from a diverse team of experienced engineers and data practitioners. Over time, you will grow into a key contributor to the platforms that enable data work across King.
Data Platform Engineer in London employer: King
At King, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Platform Engineer, you'll have the opportunity to work with cutting-edge technologies in a vibrant environment across our offices in Barcelona, London, and Stockholm, while benefiting from continuous learning and professional growth. Our commitment to employee development, coupled with a focus on work-life balance and a supportive team atmosphere, makes King a truly rewarding place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 data platforms and engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to data platforms. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨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, it shows you’re genuinely interested in joining our team at King.
We think you need these skills to ace Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Platform Engineer role. Highlight your experience with cloud platforms, CI/CD pipelines, and any relevant tools like Terraform or Docker.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role at King. Share specific examples of how you've contributed to data platforms or engineering projects in the past, and show your enthusiasm for learning and collaboration.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially in Python or data engineering workflows.
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 your initiative!
How to prepare for a job interview at King
✨Know Your Data Platforms
Before the interview, make sure you brush up on your knowledge of data platforms and tools. Familiarise yourself with cloud services like GCP, AWS, or Azure, and be ready to discuss how you've used them in past projects. This will show your genuine interest and understanding of the role.
✨Showcase Your Automation Skills
Since the role involves building and improving automation, come prepared with examples of how you've used Python for automation in previous jobs. Be specific about the tools and libraries you used, and how they improved efficiency or reliability in your workflows.
✨Collaborative Mindset is Key
This position requires a collaborative approach, so be ready to talk about your experiences working with data scientists, analysts, and engineers. Share examples of how you’ve contributed to team projects and how you’ve helped improve processes or platforms based on user feedback.
✨Prepare for Technical Questions
Expect technical questions related to CI/CD pipelines, infrastructure as code, and container orchestration. Brush up on these topics and be ready to explain your thought process when solving problems. Practising coding challenges in Python can also give you an edge.
