[Hiring] Lead Data Engineer @Zexter

Role Description

We are looking for a Lead Data Engineer to design a multi-tenant Lakehouse and take it to production: from ingestion via Kafka to data marts in ClickHouse, with data isolation, role-based access, and onboarding of new tenants.

• Design a multi-tenant Data Lakehouse architecture
• Build tenant data isolation across all layers: storage, catalog, data marts, and access
• Build ingestion and stream processing via Kafka: website/app events, transactions, bets, bonuses, and partner data
• Develop batch/ELT pipelines and transformations in dbt with per-tenant logic
• Orchestrate pipelines in Apache Airflow, including onboarding of new tenants
• Design data marts and the serving layer in ClickHouse for fast B2B analytics and BI
• Implement access segregation: tenant-aware roles, and access auditing
• Set up data quality, monitoring, alerting, and tenant-level documentation
• Optimize cost and query performance as the number of tenants grows
• Participate in tool selection and architectural decisions
• Work with analysts, BI, and product teams: turn raw data into clear and reliable datasets for B2B clients
• Account for security, isolation, and, where applicable, iGaming regulatory requirements

Qualifications

• 6+ years in Data Engineering
• Advanced SQL and strong Python
• Experience designing data warehouses/data lakes
• Experience building multi-tenant analytics platforms or B2B analytics: data isolation, tenant-aware models, access segregation
• Experience with Apache Kafka and stream processing
• Experience with Apache Airflow
• Experience with analytical databases, ClickHouse is a must
• Understanding SQL engines over a Lakehouse
• Data modeling experience: raw/staging/marts layers, dimensional models, SCD, incremental loads, per-tenant partitioning
• Understanding of row-level security, role-based models, and access auditing
• Experience with data CI/CD, data tests, versioning, and documentation
• Ability to work autonomously and take ownership of architecture and results

Requirements

• Nice to Have:
• Experience in iGaming / betting / gambling
• Understanding of GGR, NGR, LTV, RTP, retention, and funnel metrics
• Experience with ElasticSearch
• Experience with Terraform, Docker, Kubernetes
• Experience with BI tools and building self-service analytics for external clients
• Experience optimizing cloud cost under multi-tenant load
• Experience with tenant onboarding and pipeline templating

Benefits

• Fully remote work
• Competitive salary
• Opportunity to work in a fast-growing international iGaming company
• Strong Development and Product teams
• Minimal bureaucracy and the opportunity to directly influence product quality
• Clear career path with the opportunity to grow
• Interesting challenges and modern tools