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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 technology and innovation.
- Benefits: Enjoy flexible working options, competitive salary, 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; perfect 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 (United Kingdom) 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 (United Kingdom)
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as Python frameworks, SQL, and cloud platforms like GCP or AWS. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Network with professionals in the gaming and data engineering sectors. Attend industry meetups or online webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations at High 5 Casino.
✨Tip Number 3
Prepare to discuss your experience with real-time data processing and AI integration. Be ready to share specific examples of how you've implemented these technologies in past roles, as this aligns closely with the responsibilities outlined in the job description.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical questions or case studies that may be presented during the interview. Think about challenges you've faced in previous projects and how you overcame them, particularly in data pipeline development and performance monitoring.
We think you need these skills to ace Python Data Engineer (United Kingdom)
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 that demonstrate your ability to design and maintain data pipelines.
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 integration and real-time processing. Use specific examples to illustrate your problem-solving skills and collaborative experiences.
Showcase Relevant Projects: If you have worked on projects involving AI integration or big data technologies, be sure to include these in your application. Highlight your contributions and the impact of these projects on previous employers or personal initiatives.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a role that involves data integrity and performance monitoring.
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 will show your readiness for the role.
✨Prepare for Collaboration Questions
As collaboration is key in this position, think of examples where you've worked with cross-functional teams. Be ready to share how you communicated data requirements and delivered solutions effectively.
