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- Tasks: Lead data engineering and AI initiatives in a dynamic gaming studio.
- Company: Exciting gaming development studio in the UK with a focus on innovation.
- Benefits: Hybrid work model, supportive environment, and opportunities for professional growth.
- Why this job: Join a high-performing team and shape the future of gaming with data.
- Qualifications: PhD in a quantitative field and experience in data engineering and machine learning.
The predicted salary is between 48000 - 72000 £ per year.
A gaming development studio in the UK is seeking an Analytics Manager to lead their data engineering and AI initiatives. The role involves managing a high-performing team, designing data platforms, and optimizing Snowflake environments.
Ideal candidates should possess a PhD in a quantitative field and have extensive experience with data engineering, machine learning, and Power BI. This position offers a hybrid work model and a supportive environment for professional growth.
AI Analytics Architect: Data Engineering & ML employer: Push Gaming Ltd
Contact Detail:
Push Gaming Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Analytics Architect: Data Engineering & ML
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your data engineering projects and machine learning models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Snowflake and Power BI, as well as any challenges you've faced in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace AI Analytics Architect: Data Engineering & ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and analytics, and how you can lead our team to success. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role involves optimising Snowflake environments and using Power BI, make sure to mention your proficiency with these tools. We’re looking for someone who can hit the ground running, so highlight any relevant experience you have!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Push Gaming Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts and machine learning techniques. Brush up on your knowledge of Snowflake environments and Power BI, as these will likely come up during the interview. Being able to discuss specific projects or experiences where you've applied these skills will really impress.
✨Showcase Your Leadership Skills
Since this role involves managing a high-performing team, be prepared to talk about your leadership style and experiences. Think of examples where you've successfully led a team, resolved conflicts, or driven a project to completion. This will demonstrate your capability to lead effectively in a supportive environment.
✨Prepare for Technical Questions
Expect some technical questions related to data platforms and analytics. Practice explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders. Consider doing mock interviews with friends or colleagues to get comfortable with this.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s AI initiatives or the team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
