Senior Data Engineer – Full Stack

🔥 8 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ESL FACEIT Group - EFG

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🎮 Gaming

📱 Media

👥 B2C

Gaming • Media • B2C

ESL FACEIT Group - EFG is a global esports and gaming company that builds and operates competitive events, digital platforms and gaming lifestyle festivals to unite players, fans and creators. Through its leading brands (including ESL, FACEIT and DreamHack) EFG organizes large-scale tournaments (including the Esports World Cup), delivers ad solutions and media content, and partners with game developers, publishers and brands to grow gaming communities and esports as an entertainment industry. The company highlights worldwide reach and engagement metrics—hundreds of millions of fans, billions of content impressions and hundreds of millions of hours watched—and emphasizes creating "worlds beyond gameplay" where communities can flourish.

📋 Description

• End-to-End Architecture & Delivery: Define, design, and implement complex data infrastructure, pipeline ingestion, and transformation layers spanning multiple business units (Esports, Festivals, Commerce, HR, Finance, and FACEIT); • 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.

🎯 Requirements

• Expert Technical Skills: Mastery of SQL and advanced Python/programming languages for high-performance data processing; • Modern Data Stack (MDS) Expertise: Deep, hands-on experience with cloud data warehouses (e.g., BigQuery internals), workflow orchestration platforms, and dbt optimisation at scale (macros, package management); • Data Architecture & Infra: Proven track record in dimensional modeling, cloud architecture patterns, Identity and Access Management (IAM), networking, and Infrastructure as Code (IaC); • AI & Industry Awareness: Substantial awareness of the evolving data ecosystem, combined with practical experience building AI agents and prompting AI effectively; • Project Leadership: Demonstrated success in leading end-to-end projects, mitigating risks within deployment cycles, and managing cross-functional technical delivery; • Communication Excellence: Superb technical storytelling skills; ability to balance deep technical details with strategic business context for both engineering teams and non-technical stakeholders; • Collaboration & Soft Skills: Technical leadership, strategic thinking, ownership mentality, attention to detail, and a passion for enabling self-service and data quality.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible working hours • Paid time off