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- Tasks: Solve complex data challenges using the Elastic Stack and mentor junior engineers.
- Company: Join a leading gaming firm at the forefront of Data Science & AI innovation.
- Benefits: Enjoy a collaborative, tech-forward environment with opportunities for growth and learning.
- Why this job: Be part of transformative projects in the gaming industry while working with cutting-edge technology.
- Qualifications: Experience with ELK stack, Azure, and scripting (Python preferred) is essential.
- Other info: This role offers hands-on experience with modern data workflows and operational analytics.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Are you a seasoned ELK stack expert with a passion for solving complex data challenges? Ready to level up your career with one of the world’s top gaming firms?
In this role, you will have the opportunity to join an innovative Data Science & AI team, working on cutting-edge technology and a brand-new gamification initiative set to transform the business.
You’ll be responsible for delivering solutions using the Elastic Stack along with other modern platforms, while also providing ongoing support for both the stack and the products you help deliver. You will work closely with development teams to ensure data feeds are accurate, reliable, and effectively integrated, playing a key role in ensuring our analytics infrastructure is fit for purpose. As a senior member of the team, you’ll also mentor junior engineers—helping them plan and implement technical features.
You’ll thrive in a highly collaborative, tech-forward environment, where AI/ML innovation is front and centre. Expect to be hands-on with the full Elastic Stack—Logstash, Kibana, Watcher, REST endpoints, and painless scripting—and bring a deep understanding of operational analytics in fast-paced environments.
Ideally, you will have experience working across both operational and business data sets, including analysis, reporting, and alerting. A strong working knowledge of Azure—particularly Event Hubs and other data processing technologies—is highly desirable. You’ll also need to be confident writing scripts when needed (Python preferred), with a solid grasp of modern data workflows and integrations.
If you’re ready to take on complex challenges, contribute to world-class projects, and work at the heart of the gaming industry—please get in touch.
Senior Operations Analytics Engineer employer: Igaming
Contact Detail:
Igaming Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Operations Analytics Engineer
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in the Elastic Stack. Being able to discuss recent developments or features during your interview can demonstrate your passion and expertise, making you stand out as a candidate.
✨Tip Number 2
Network with professionals in the gaming and data analytics sectors. Attend relevant meetups or online forums where you can connect with current employees at StudySmarter or similar companies, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific challenges you've faced in previous roles and how you used the Elastic Stack to overcome them, as this will highlight your hands-on experience and analytical mindset.
✨Tip Number 4
Brush up on your scripting skills, particularly in Python. Be ready to discuss how you've used scripts to automate processes or improve data workflows, as this technical proficiency is crucial for the role and will show your readiness to contribute from day one.
We think you need these skills to ace Senior Operations Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the ELK stack and any relevant technologies mentioned in the job description. Emphasise your problem-solving skills and any previous roles where you mentored junior engineers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and the gaming industry. Mention specific projects or experiences that demonstrate your expertise with operational analytics and Azure technologies.
Showcase Relevant Projects: If you have worked on projects involving the Elastic Stack or similar technologies, include these in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your capabilities.
Highlight Collaboration Skills: Since the role involves working closely with development teams, emphasise your teamwork and collaboration skills. Provide examples of how you've successfully worked in a team environment to deliver data solutions.
How to prepare for a job interview at Igaming
✨Showcase Your ELK Stack Expertise
Be prepared to discuss your hands-on experience with the Elastic Stack. Highlight specific projects where you've used Logstash, Kibana, and other components to solve data challenges, as this will demonstrate your technical proficiency.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your ability to tackle complex data issues. Prepare examples from your past work where you successfully identified problems and implemented effective solutions.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring junior engineers, be ready to share your experiences in team settings. Discuss how you've supported colleagues in their development and contributed to a collaborative work environment.
✨Familiarise Yourself with Azure Technologies
Given the emphasis on Azure, brush up on your knowledge of Event Hubs and related data processing technologies. Be prepared to explain how you've integrated these tools into your workflows in previous roles.
