Python Data Engineer

JR United Kingdom; United Kingdom; On-site; GBP 45,000 - 80,000; Full time

Job summary

Join an innovative gaming company as a Python Data Engineer, where you'll design and maintain robust data pipelines and databases. Collaborate with cross-functional teams to ensure seamless data integration and support data-driven decision-making. You'll also work on real-time data processing systems and AI-powered solutions to enhance player interactions. This role offers a unique opportunity to contribute to the success of cutting-edge gaming platforms while utilizing your skills in Python, SQL, and cloud technologies. If you're passionate about data and gaming, this is the perfect opportunity for you!

Qualifications

• Proven experience as a Python Data Engineer or similar role.
• Strong proficiency in Python and SQL with ETL tools.

Responsibilities

• Design and maintain data pipelines for ETL processes.
• Collaborate with teams to integrate and optimize data systems.

Skills

Python

SQL

ETL processes

AI/ML integration

Database management

Data modeling

Cloud platforms (GCP, AWS, Azure)

Big data technologies (Hadoop, Spark)

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Technology

Job description

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Job Title: Python Data Engineer at High 5 Casino

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

1. Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources.
2. Database Management: Manage and optimize databases, ensuring data integrity, security, and performance. Implement best practices for database design, indexing, and maintenance.
3. 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.
4. Performance Monitoring: Monitor and optimize the performance of data systems, identifying and addressing bottlenecks, ensuring scalability, and minimizing costs.
5. Collaboration: Work closely with cross-functional teams, including data analysts and business intelligence teams, to understand data requirements and deliver solutions.
6. 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.
7. 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.
8. 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.
9. 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.