Lead Data Engineer (iGaming)

Location: Sofia, Bulgaria; hybrid work combining home and modern office work

Company

hirify.global is a listed global sports betting, iGaming, and entertainment group operating online brands across more than 100 markets, with over 8,000 colleagues across 28 offices.

What you will do

• Set technical direction and engineering standards for a data engineering squad, including pipeline design, data modelling, testing, and code quality.
• Lead architectural decisions for ingestion, transformation, serving, data pipelines, and data models.
• Design, build, and maintain complex batch and streaming pipelines through structured data layers.
• Own data models for poker gameplay, player activity, and commercial metrics, ensuring performance, documentation, and alignment with business definitions.
• Establish monitoring, alerting, and data quality validation standards to improve pipeline reliability and performance.
• Coordinate delivery, mentor engineers, conduct code reviews, and support analytics, product, platform, and downstream data consumers.

Requirements

• 7+ years of experience building data pipelines in cloud-based data lakehouse or data warehouse environments, including batch and streaming ingestion.
• Proven technical leadership in a data engineering team, including development standards, design discussions, and architectural decisions.
• Strong Python and SQL skills for large-scale data transformation, processing, and pipeline development.
• Deep experience with event-driven ingestion from streaming platforms, including schema management, consumer group coordination, and backfill strategies.
• Solid understanding of star schemas, medallion architecture, slowly changing dimensions, and data quality frameworks.
• Excellent communication and leadership skills for cross-team coordination, mentoring, and stakeholder engagement.

Nice to have

• Databricks experience with notebooks, jobs, Delta Lake, and Unity Catalog.
• Kafka experience, including schema registry and Protobuf serialisation.
• Terraform experience for data infrastructure provisioning and environment management.
• Experience leading distributed data engineering teams across multiple locations.
• Experience in regulated or B2B platform environments involving compliance, auditability, and multi-jurisdictional data handling.
• Working knowledge of data quality monitoring and automated data validation frameworks.

Culture & Benefits

• Hybrid working with home and office options agreed with the manager.
• 30 days of paid leave, health and dental insurance for eligible family members, life insurance, and disability coverage.
• Wellbeing fund, sports card membership, monthly food vouchers, and service discounts.
• Continuous learning support for certifications and career development.
• 26 weeks of primary carer leave and 4 weeks of secondary carer leave at 100% pay, with no eligibility period.
• Discretionary annual performance bonus and an inclusive, accessibility-aware workplace.