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- Tasks: Design and maintain data pipelines for business intelligence and analytics.
- Company: Leading iGaming supplier based in Brighton with a fun working atmosphere.
- Benefits: Career progression opportunities and a state-of-the-art office environment.
- Other info: Dynamic role with excellent growth potential.
- Why this job: Join a supportive team and work on exciting data projects in the iGaming industry.
- Qualifications: Experience with data pipelines, strong SQL skills, and familiarity with Python and AWS Athena.
The predicted salary is between 40000 - 55000 £ per year.
A leading iGaming supplier based in Brighton is seeking a Data Engineer to design and maintain data pipelines that support business intelligence and analytics.
The ideal candidate will have experience with data pipelines, strong SQL skills, and familiarity with tools like Python and AWS Athena.
This is a dynamic role within a supportive team, offering opportunities for career progression and a fun working atmosphere in a state-of-the-art office.
Data Engineer: Build Scalable Analytics for iGaming employer: 1X2 Network
Contact Detail:
1X2 Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Analytics for iGaming
✨Tip Number 1
Network like a pro! Reach out to folks in the iGaming industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. We love seeing real-world applications of SQL, Python, and AWS Athena – it’ll make you stand out from the crowd!
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your past experiences. We want to see how you think and solve problems, so practice explaining your thought process.
✨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, we’re always on the lookout for passionate candidates who are eager to join our fun and dynamic team.
We think you need these skills to ace Data Engineer: Build Scalable Analytics for iGaming
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or tools like Python and AWS Athena.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In the iGaming industry, problem-solving is key. When detailing your experience, include examples of challenges you've faced in data engineering and how you tackled them. This will help us see your analytical mindset in action.
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’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at 1X2 Network
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with data pipelines. Brush up on the specific tools and technologies you've used, especially SQL, Python, and AWS Athena. Be ready to discuss how you've designed or maintained these pipelines in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in data engineering and how you overcame them. This could be anything from optimising a slow-running query to troubleshooting data discrepancies. Companies love candidates who can think critically and adapt to dynamic situations.
✨Understand the iGaming Industry
Familiarise yourself with the iGaming sector and its unique data needs. Research trends, regulations, and common analytics practices within the industry. Showing that you understand the business context will set you apart from other candidates.
✨Be Ready for Technical Questions
Expect technical questions during the interview. Practice coding problems related to SQL and Python, and be prepared to explain your thought process. You might also be asked to solve a real-world problem on the spot, so keep your skills sharp!