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- Tasks: Design and maintain data pipelines, databases, and real-time player interaction software.
- Company: Join High 5 Casino, a leader in gaming platforms, focused on innovation and player engagement.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of gaming with cutting-edge technology.
- Qualifications: Bachelor’s degree in Computer Science or related field; strong Python and SQL skills required.
- Other info: Experience with AI tools and cloud platforms is a plus; ideal for tech-savvy problem solvers.
The predicted salary is between 36000 - 60000 £ per year.
As a Python Data Engineer at High 5 Casino, you will be responsible for designing, implementing, and maintaining data pipelines, databases and our in-house real-time player interaction software. You will collaborate with cross-functional teams to ensure seamless data integration, support data-driven decision-making, and contribute to the overall success of our gaming platforms.
Key Responsibilities:
- Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources.
- Database Management: Manage and optimize databases, ensuring data integrity, security, and performance. Implement best practices for database design, indexing, and maintenance.
- Data Integration: Collaborate with game providers, analysts and other stakeholders to integrate data sources, ensuring a unified and accurate view of data across the organization.
- Performance Monitoring: Monitor and optimize the performance of data systems, identifying and addressing bottlenecks, ensuring scalability and minimizing costs.
- Collaboration: Work closely with cross-functional teams, including data analysts and business intelligence teams, to understand data requirements and deliver solutions.
- Streaming Systems: Design and implement real-time data processing systems to handle streaming data, ensuring low-latency and high-throughput data processing for real-time player interactions.
- AI Integration: Collaborate with data scientists to deploy AI/ML models into production systems, ensuring proper integration, scalability, and performance. Enhance tools with AI-driven insights, predictive capabilities, and automated decision-making processes.
- AI-Powered Solutions: Develop AI-powered features for liveops, customer support, and fraud detection tools, such as automated ticket responses, player behavior analysis, and anomaly detection.
- AI Model Maintenance: Partner with data scientists to maintain, retrain, and fine-tune AI models based on new data and business requirements, ensuring continuous improvement and relevance.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Python Data Engineer or a similar role.
- Strong proficiency in Python and experience with relevant frameworks and libraries.
- Deep familiarity with SQL and query management practices.
- Solid understanding of data modeling, database design, and data warehousing concepts.
- Experience with ETL processes and tools.
- Knowledge of cloud platforms (e.g., GCP, AWS, Azure) and their data services.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Understanding of AI tools like Gemini and ChatGPT is also a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Python Data Engineer employer: High 5 Games
Contact Detail:
High 5 Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as cloud platforms like GCP, AWS, or Azure. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Engage with online communities or forums related to Python Data Engineering. Networking with professionals in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 3
Prepare to discuss real-time data processing systems and AI integration during your interviews. Be ready to share examples of how you've implemented similar solutions in past roles, as this aligns closely with the responsibilities outlined in the job description.
✨Tip Number 4
Showcase your collaboration skills by preparing examples of how you've worked with cross-functional teams in previous positions. Highlighting your ability to communicate effectively with data analysts and other stakeholders will demonstrate that you're a great fit for the team-oriented environment at High 5 Casino.
We think you need these skills to ace Python Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Python Data Engineer. Focus on your skills in Python, SQL, and any ETL processes you've worked with. Mention specific projects where you've designed data pipelines or collaborated with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at High 5 Casino. Discuss how your background aligns with their needs, particularly in data pipeline development and AI integration. Use specific examples to demonstrate your problem-solving skills and ability to work in a fast-paced environment.
Showcase Relevant Projects: If you have worked on projects involving real-time data processing or AI-powered solutions, be sure to include these in your application. Describe your role, the technologies used, and the impact of your contributions on the project's success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role like this.
How to prepare for a job interview at High 5 Games
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've designed and implemented data pipelines, and be ready to demonstrate your proficiency with relevant frameworks and libraries.
✨Understand ETL Processes
Since the role involves building and maintaining ETL processes, make sure you can explain how you've handled data extraction, transformation, and loading in previous roles. Discuss any tools you've used and the challenges you've overcome.
✨Familiarise Yourself with Cloud Platforms
Research the cloud platforms mentioned in the job description, such as GCP, AWS, or Azure. Be ready to discuss how you've utilised their data services in past projects, as this knowledge will be crucial for the role.
✨Prepare for Collaboration Questions
The position requires working closely with cross-functional teams. Think of examples from your past experiences where you've successfully collaborated with others, particularly data analysts or business intelligence teams, to achieve a common goal.
