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- Tasks: Enhance and support data services using real-time streaming technologies.
- Company: Leading online gambling company with a focus on innovation.
- Benefits: Hybrid work options, competitive salary, and opportunities for growth.
- Other info: Emphasises teamwork and communication in a fast-paced setting.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Proficient in Python or Go with experience in high transaction environments.
The predicted salary is between 50000 - 70000 £ per year.
A leading online gambling company is seeking a Software Developer to enhance and support their data ecosystem. The role involves managing data services using technologies like Kafka and GCP while focusing on real-time data processing and cloud database management.
Candidates should be proficient in programming languages such as Python or Go and have experience in high transaction environments. This position supports hybrid work arrangements and emphasizes communication and teamwork.
Data Platform Software Engineer – Real-Time Streaming employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Software Engineer – Real-Time Streaming
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with real-time data processing or cloud technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Kafka, GCP, or any high transaction environments. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your programming languages, especially Python or Go. Be ready to discuss how you've tackled challenges in real-time data processing and how you work within a team. Communication is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Data Platform Software Engineer – Real-Time Streaming
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data services, especially using technologies like Kafka and GCP. We want to see how your skills in Python or Go can enhance our data ecosystem!
Showcase Your Projects: Include any relevant projects that demonstrate your ability to handle real-time data processing and cloud database management. We love seeing practical examples of your work, so don’t hold back!
Communicate Clearly: Since teamwork is key for us, make sure your application reflects your communication skills. Use clear language and structure your thoughts well to show us you can collaborate effectively.
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 this exciting opportunity in our hybrid work environment!
How to prepare for a job interview at hackajob
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Kafka and GCP. Brush up on your Python or Go skills, as you might be asked to solve coding problems or discuss your past projects involving these languages.
✨Showcase Real-Time Experience
Prepare examples from your previous work where you managed real-time data processing or worked in high transaction environments. Be ready to discuss challenges you faced and how you overcame them, as this will demonstrate your hands-on experience.
✨Emphasise Teamwork and Communication
Since the role highlights teamwork, think of instances where you collaborated effectively with others. Be prepared to share how you communicated complex technical concepts to non-technical team members, as this shows your ability to work well in a hybrid environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data ecosystem. Inquire about their current challenges with real-time data processing or how they envision the future of their data services. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.