Data Platform Lead

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over99

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎮 Gaming

🎲 Gambling

Gaming • Gambling

over99 is a Berlin-based iGaming company that builds next-generation casino products, games, and player experiences. They develop innovative casino games, run marketing and affiliate programs, scale brands, and provide world-class player support and operations. With a focus on bold design, data-driven growth, and owning platforms, over99 aims to shape the future of digital entertainment in the iGaming space.

📋 Description

• Lead the design and evolution of our core data architecture across transactional, analytical, and long-term storage systems. • Own and improve PostgreSQL data design, schema structure, indexing strategy, query performance, relationships, constraints, and data integrity. • Design, review, and maintain ERDs and data models that clearly represent business logic, system behavior, and domain relationships. • Work closely with backend engineers to ensure application data models are scalable, consistent, and suitable for both operational and analytical use cases. • Build and improve data pipelines from production systems into analytics databases and reporting layers. • Design reliable approaches for data ingestion, replication, transformation, validation, rollups, aggregations, and historical storage. • Help define the right architecture for hot, warm, and cold data storage. • Support the design of analytics-friendly datasets for reporting, dashboards, product analytics, finance, compliance, and operational monitoring. • Help evolve our analytics database strategy, including how we use analytical stores, materialised views, denormalised tables, and aggregation layers. • Establish data modeling best practices across the engineering team. • Identify and fix data quality issues, including inconsistent schemas, duplicated logic, missing relationships, poor naming, and unreliable reporting sources. • Collaborate with backend, product, DevOps, and leadership teams to turn business requirements into clean, scalable data structures. • Define best practices for migrations, data retention, archival, backfills, and safe deletion of production data. • Mentor engineers on database design, ERDs, data modeling, and data pipeline thinking.

🎯 Requirements

• Strong professional experience in data engineering, data architecture, backend engineering, or a closely related role. • Deep understanding of PostgreSQL, including schema design, indexing, query planning, constraints, normalisation, denormalisation, migrations, and performance optimisation. • Strong understanding of ERDs and relational data modeling. • Experience designing clean, scalable data models for complex business domains. • Experience working with analytical databases, reporting databases, OLAP systems, or data warehouses. • Experience building or maintaining data pipelines from production systems into analytics/reporting systems. • Strong understanding of data quality, data consistency, data validation, and historical data management. • Ability to reason about trade-offs between normalised transactional models and denormalised analytical models. • Experience working with backend engineers and understanding how application architecture affects data architecture. • Strong communication skills and the ability to explain complex data structures clearly to both technical and non-technical teams. • Ability to lead technical initiatives and drive best practices across engineering teams.

🏖️ Benefits

• 100% Remote — flexibility and freedom, wherever you are • High-growth crypto gaming platform — real scale, real impact • Competitive salary • Flexible working hours — outcome-focused culture • Career growth in a fast-moving, technically ambitious environment