Are you a passionate and ambitious data engineer ready to dive into an environment that fosters innovation, continuous learning, and professional growth? We’re seeking talented individuals who are eager to tackle complex big data problems, build scalable solutions, and collaborate with some of the finest engineers in the entertainment industry.

• Complex Projects, Creative Solutions: Dive into intricate projects that challenge and push boundaries. Solve complex technical puzzles and craft scalable solutions.
• Accelerate Your Growth: Access mentorship, training, and hands-on experiences to level up your skills. Learn from industry experts and gain expertise in scaling software.
• Collaborate with Industry Leaders: Work alongside exceptional engineers, exchanging ideas and driving innovation forward through collaboration.
• Caring Culture, Career Development: We deeply care about your career. Our culture prioritizes your growth with tailored learning programs and mentorship.
• Embrace Challenges, Celebrate Success: Take on challenges, learn from failures, and celebrate achievements together.
• Shape the Future: Your contributions will shape the future of entertainment.

• Architect, design, and optimise scalable ETL pipelines using AWS Glue, orchestrating complex workflows with Airflow and enabling efficient data processing from multiple sources.
• Lead the development of secure, scalable, and cost-efficient data infrastructure using AWS services and Terraform, ensuring best practices in infrastructure automation.
• Collaborate with stakeholders to define and drive strategic data initiatives, including data lakehouse architecture, real-time data processing, and analytics enablement.
• Own and enhance observability practices, implementing robust monitoring, alerting, and logging systems to minimize downtime and optimize performance.
• Develop and enforce automated data governance strategies, including data lineage tracking, access control, masking, and encryption, ensuring compliance with GDPR and industry regulations.
• Develop and execute automated data governance processes to ensure compliance with data lineage, classification, access control, GDPR, and other regulatory standards. This includes masking, encryption, and policy enforcement to protect sensitive data, especially in regulated markets.
• Architect and optimise data pipelines for Change Data Capture (CDC), reconciliation workflows, and reliability enhancements.
• Drive improvements in engineering best practices, including code quality, system design, documentation, and operational efficiency to foster team efficiency and high-quality outcomes with measurable business values.
• Identify opportunities and implement innovative solutions to enhance data platform capabilities, proactively solving performance bottlenecks and improving data reliability.
• Perform advanced code reviews, mentor engineers and foster a collaborative, high-performance and collaborative engineering culture.