Senior Data Engineer - Full Stack

Job summary

At EFG (ESL***) we create worlds beyond gameplay where players and fans become community. We pride ourselves in having a corporate social responsibility which is that "IT'S NOT GG, UNTIL IT'S GG FOR ALL".

Qualifications

• Expert Technical

Responsibilities

• We pride ourselves in having a corporate social responsibility which is that "IT'S NOT GG, UNTIL IT'S GG FOR ALL".
• Pipeline & Platform Engineering: Construct scalable architectures using well-architected framework principles (reliability, security, performance, and automation).
• Manage workflow orchestration, CI/CD pipelines, and infrastructure automation;
• Data Modeling & Semantic Layers: Standardise enterprise-grade dimensional modeling (Kimball/Inmon), star schemas, and centralised semantic layers to define trusted, cross-pillar metrics;
• AI-Ready Datasets: Create clean, optimised, AI-ready datasets with structured metadata, clear naming conventions, and explicit documentation to support downstream AI agents and cognitive models;
• Technical Standards & Governance: Establish and enforce best practices for Python/SQL development, dbt optimisation, testing frameworks, and version control across the hybrid data domain;
• Efficiency & Cost Optimisation: Proactively monitor and optimise performance and infrastructure platform costs across storage, compute, and querying layout (e.g., BigQuery configurations);
• Stakeholder Partnership: Act as a strategic partner to business leaders and analysts, translating complex objectives into scalable self-service data products;
• Incident Response & Data Integrity: Lead incident response efforts for both system downtime and data quality anomalies, implementing automated testing to ensure Industry Standard Data Integrity;
• Mentorship & Growth: Mentor junior and mid-level engineers through rigorous code reviews and technical guidance, supporting their professional growth and advancing team standards.

Skills

Degrees

Travel

Industry

Company size