Remote Lead Data Engineer: Multi-Tenant Lakehouse

Zexter; Województwo mazowieckie; Remote; PLN 260,000 - 360,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Opportunity to work in a fast-growing,

Job summary

ZEXTER is seeking a Lead Data Engineer to design and productionize a multi-tenant Lakehouse for the digital entertainment and iGaming ecosystem. You will own ingestion pipelines from Kafka to data marts in ClickHouse, enforce tenant data isolation, RBAC, and onboarding of new tenants.

You will guide architecture decisions, build dbt transformations, orchestrate Airflow pipelines, and work with analysts and product teams to deliver reliable datasets for B2B clients, while optimizing cost and

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.

Responsibilities

• 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.

Skills

Advanced SQL

Python

Data warehouse design

Multi-tenant analytics

Apache Kafka

Apache Airflow

ClickHouse

dbt

Data modeling

Row-level security

Tools

dbt

Apache Airflow

Apache Kafka

ClickHouse

Job description

ZEXTER is seeking a Lead Data Engineer to design and productionize a multi-tenant Lakehouse for the digital entertainment and iGaming ecosystem. You will own ingestion pipelines from Kafka to data marts in ClickHouse, enforce tenant data isolation, RBAC, and onboarding of new tenants.

You will guide architecture decisions, build dbt transformations, orchestrate Airflow pipelines, and work with analysts and product teams to deliver reliable datasets for B2B clients, while optimizing cost and