The Role   You'll own the data lake — the system of record for millions of financial events a day across million of active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.   What you'll be doing ? Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution. ? Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events. ? Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake. ? Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion. ? Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems. ? Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails. ? Monitor ingestion health, data anomalies, and cloud storage/compute spend.   What we're looking for ? 3+ years in data engineering, with real ownership of a large-scale data lake or lakehouse. ? Cloud object storage (S3/GCS) plus Snowflake, Databricks, or BigQuery in production. ? Hands-on with an open table format (Iceberg, Delta, or Hudi). ? Deep understanding of partitioning, file layout, and query optimization at terabyte-plus scale. ? CDC and streaming ingestion experience (Kafka + Debezium or equivalent). ? Strong SQL and data modeling; enough relational grounding to reason about the OLTP systems you capture from — critical for financial ledgers. ? Data lake governance: catalogs, lineage, access control, PII, retention. ? Python and an orchestrator (Airflow/Dagster) as tools — this is an architecture and ownership role, not heads-down coding. ? Nice to have: fintech, iGaming, or another regulated, audit-heavy environment.

We are looking for a senior streaming technology specialist to take ownership of streaming quality, performance, reliability, scalability, and cost efficiency within a high-volume live casino environment.   You will work closely with Product, Engineering, Data, infrastructure teams, streaming providers, and CDN partners to understand performance at a detailed level, solve complex issues, and drive measurable improvements.   This is a principal-level individual contributor role with no direct reports. Alongside operational optimization, you will help define the long-term streaming technology strategy needed to support international growth.   Key Responsibilities: Own and improve streaming quality, latency, reliability and overall player experience. Define and monitor KPIs around streaming performance and availability. Build and improve monitoring, dashboards, alerting and observability. Analyse performance across markets, networks, devices, browsers and operating systems. Lead complex streaming investigations with internal teams and external providers. Work with CDN and streaming providers to improve reliability, coverage, scalability and delivery. Identify opportunities around routing, CDN configuration, redundancy and multi-provider architecture. Monitor streaming costs and drive greater efficiency without compromising quality. Define the long-term streaming technology roadmap supporting international growth. Evaluate new technologies, vendors and delivery solutions. Provide technical direction on player strategy, infrastructure, redundancy and streaming architecture.   Requirements 10+ years of experience in streaming, video infrastructure, media technology, or a related technical field. Proven experience operating or optimizing large-scale streaming services. Strong understanding of streaming architectures, video players, CDNs, delivery technologies, and performance optimization. Live casino, live gaming, sports streaming, or similar experience is highly desirable. Strong analytical skills and experience with monitoring, dashboards, observability, and performance data. Ability to combine deep technical problem-solving with broader technology strategy. Strong English; Armenian is a significant advantage.

We are looking for a Senior BI & Analytics Specialist with strong hands-on experience in iGaming / Online Gambling to build and develop the company’s BI and Analytics function. You will work directly with player-level and transactional data across Casino, Sportsbook, CRM, Payments, Marketing, Agents and Finance, turning complex data into actionable business insights. This is not a generic BI role. Strong understanding of iGaming operations, player behaviour, commercial KPIs and profitability is essential. Responsibilities: Build and develop the company’s BI and Analytics structure, including a Single Source of Truth for key KPIs. Develop Power BI dashboards and advanced analysis covering player behaviour, acquisition, retention, churn, LTV, revenue and profitability. Analyse performance across players, brands, markets, channels, agents, products and providers. Analyse the complete player lifecycle, from registration and FTD through retention, reactivation, churn and LTV. Identify trends, anomalies, high-value player segments and growth opportunities. Work closely with Revenue, CRM, Marketing, Operations, Finance and Technology to provide data-driven insights and recommendations. Requirements: 5+ years in BI, Data Analytics or Business Analytics, including at least 2 years in iGaming / Online Gambling. Hands-on experience with player-level and transactional data and a strong understanding of Casino and/or Sportsbook operations. Strong knowledge of iGaming KPIs including GGR, NGR, Turnover, FTD, Active Players, ARPU/ARPPU, Retention, Churn and LTV. Advanced SQL and Power BI, including DAX and Data Modelling. Experience with ETL/ELT, multiple data sources, large datasets and data quality/validation. Ability to connect acquisition, player behaviour, CRM, revenue and costs to understand business performance and profitability. Python, BigQuery/Snowflake/Redshift, APIs and predictive analytics are desirable.