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- Tasks: Design and manage data architecture, build scalable pipelines, and provide data insights.
- Company: A dynamic data-driven analytics firm in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a passionate team and make an impact in sports and entertainment through data.
- Qualifications: 4+ years of experience in BI, strong skills in Python, SQL, and cloud platforms.
- Other info: Collaborative environment with a focus on innovation and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
A data-driven analytics firm in London is seeking a BI Engineer to join their Data & Analytics team. The successful candidate will design and manage data architecture, build scalable pipelines, and support decision-making through data insights.
With a focus on collaboration and communication, this role demands strong technical skills in Python, SQL, and cloud platforms like Google Cloud Platform. Candidates should have 4+ years of relevant experience and possess a passion for sports and entertainment.
Hybrid BI Engineer — Data Pipelines & Analytics (London) employer: Gemba
Contact Detail:
Gemba Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid BI Engineer — Data Pipelines & Analytics (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common BI Engineer questions and scenarios. Practice explaining your past projects and how you've used data to drive decisions—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data and analytics. It shows initiative and helps us get to know you better.
We think you need these skills to ace Hybrid BI Engineer — Data Pipelines & Analytics (London)
Some tips for your application 🫡
Show Your Passion: Make sure to highlight your passion for sports and entertainment in your application. We love candidates who share our enthusiasm for these areas, so let that shine through in your cover letter!
Tailor Your CV: Customise your CV to reflect the skills and experience mentioned in the job description. We want to see how your 4+ years of experience align with the role, especially your technical skills in Python, SQL, and cloud platforms.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key points stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Gemba
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud platforms like Google Cloud Platform. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Storytelling Skills
Prepare to explain how you've turned data insights into actionable decisions in previous roles. Use examples from your experience to illustrate how your work has impacted business outcomes, especially in sports and entertainment if possible.
✨Emphasise Collaboration and Communication
This role values teamwork, so be prepared to discuss how you've worked with cross-functional teams. Share examples of how you've communicated complex data findings to non-technical stakeholders to drive decision-making.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
