Python Data Engineer

1 week ago

London, Greater London, United Kingdom High 5 Games Full time

About High 5:

Join the leader of the fastest-growing segment of online entertainment – Casino Gaming. Developing for the land-based, online, mobile, and social markets, High 5 has created hundreds of games that are played in 150 countries on six continents. High 5 is actively building out the most entertaining social casino gaming experience on both web and mobile platforms, offering a very dynamic, multi-disciplinary, high-learning environment for you to grow within.

High 5 employs a diverse and eclectic group of talented professionals, from brilliant Mathematicians, Software Engineers and Game Designers who construct the technology platforms, to decision-enabling Data Scientists who aggregate data feeds from around the globe, to universe-expanding Artists whose imaginations allow them to craft intricate new worlds. Life at High 5 is anything but ordinary. See us at

Position Overview :

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.

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.

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