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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 technology and innovation.
- Benefits: Enjoy a collaborative environment with opportunities for growth and cutting-edge projects.
- Why this job: Be part of a transformative gamification initiative in a tech-forward culture.
- Qualifications: Experience with ELK stack, operational analytics, and scripting (Python preferred) required.
- Other info: Work closely with development teams to ensure accurate and reliable data integration.
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.
In this role, 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'll 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. You should be comfortable working with real-time systems and understand the unique challenges they present. 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 Elastic Stack, especially Logstash and Kibana. Being able to demonstrate your hands-on experience with these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Showcase your understanding of operational analytics by preparing examples of how you've tackled complex data challenges in previous roles. This will highlight your problem-solving skills and your ability to work in fast-paced environments.
✨Tip Number 3
If you have experience with Azure, particularly Event Hubs, make sure to mention it in conversations. This knowledge is highly desirable for the role and can give you an edge over other applicants.
✨Tip Number 4
Prepare to discuss your mentoring experience with junior engineers. Highlighting your ability to guide and support others will demonstrate your leadership qualities, which are essential for a senior position.
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 real-time systems.
Showcase Relevant Skills: Clearly outline your technical skills related to the Elastic Stack, Azure, and scripting languages like Python. Provide examples of how you've used these skills to solve complex data challenges in past roles.
Highlight Collaborative Experience: Since the role involves working closely with development teams, include examples of successful collaborations in your application. Discuss how you’ve contributed to team projects and supported others in achieving their goals.
How to prepare for a job interview at Igaming
✨Showcase Your ELK Stack Expertise
Be prepared to discuss your experience with the Elastic Stack in detail. Highlight specific projects where you've used Logstash, Kibana, and other components, and be ready to explain how you solved complex data challenges using these tools.
✨Demonstrate Your Mentorship Skills
As a senior member of the team, you'll be expected to mentor junior engineers. Share examples from your past experiences where you've successfully guided others, focusing on how you helped them grow and improve their technical skills.
✨Understand Real-Time Systems
Familiarise yourself with the unique challenges of working with real-time data systems. Be ready to discuss how you've tackled issues related to data accuracy and reliability in fast-paced environments, as this will be crucial for the role.
✨Highlight Your Scripting Proficiency
Since scripting is a key part of the job, ensure you can talk about your Python skills confidently. Prepare to discuss any scripts you've written, the problems they solved, and how they integrated with data workflows.
