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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 driving data-driven decisions in the exciting gaming industry.
- 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; thrive in a fast-paced, collaborative environment.
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 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 problem-solving skills by preparing for technical challenges that may arise during the interview process. Practising coding problems related to data pipelines and SQL queries can help you demonstrate your expertise effectively.
We think you need these skills to ace Python Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Python Data Engineer. Focus on relevant projects, particularly those involving data pipelines, database management, and real-time data processing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at High 5 Casino. Mention specific skills that align with the job description, such as your proficiency in Python, SQL, and any experience with AI tools.
Showcase Relevant Projects: Include examples of past projects where you designed or maintained data pipelines, collaborated with cross-functional teams, or implemented AI solutions. This will demonstrate your hands-on experience and problem-solving abilities.
Highlight Soft Skills: Don't forget to mention your communication and collaboration skills. The role requires working closely with various teams, so showcasing your ability to work well with others is crucial.
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 used Python for data engineering tasks, and be ready to demonstrate your proficiency with relevant frameworks and libraries.
✨Understand ETL Processes
Since the role involves designing and maintaining data pipelines, make sure you can explain the ETL process clearly. Discuss any tools you've used and how you've optimised these processes in past roles.
✨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 previous projects and how they can benefit the company's data architecture.
✨Prepare for Collaboration Questions
As collaboration is key in this role, think of examples where you've worked with cross-functional teams. Be ready to share how you communicated data requirements and delivered solutions that met the needs of different stakeholders.
