Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности инженера данных описаны чётко, а работодатель предлагает сильный пакет льгот; при этом сфера iGaming может не подойти из-за личных или этических предпочтений.
Сфера азартных игр
Актуальный стек
Понятные задачи
Щедрые льготы
Поддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Python/SQL, iGaming): Building and maintaining batch and streaming data pipelines and governed data models for poker gameplay, player activity, and commercial metrics with an accent on cloud lakehouse architecture, data quality, and reliable downstream consumption. Focus on designing idempotent pipelines, coordinating event-driven ingestion, and supporting analytics, data science, and AI/ML use cases.
Location: Sofia, Bulgaria; hybrid work combining home and modern office work.
Company
hirify.global is a 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
Design, build, and maintain batch and streaming pipelines that ingest event data, transform it through structured layers, and serve downstream consumers.
Develop and maintain core data models for poker gameplay, player activity, and commercial metrics.
Ensure pipelines are idempotent, tested, monitored, and supported by appropriate alerting.
Contribute to data cataloguing, access control, data quality monitoring, and infrastructure-as-code configuration.
Collaborate with product, analytics, and data science teams in an Agile squad to refine requirements and support data-product consumers.
Requirements
Experience building data pipelines in a cloud-based data lakehouse or data warehouse, including batch and streaming ingestion.
Strong Python and SQL skills for data transformation, processing, and pipeline development.
Experience with event-driven ingestion from streaming platforms, including schema management and consumer group coordination.
Solid understanding of data modelling, including star schema, medallion architecture, and slowly changing dimensions.
Ability to work collaboratively in an Agile squad with product, analytics, and engineering colleagues.
Nice to have
Databricks experience, including notebooks, jobs, and Unity Catalog.
Familiarity with Kafka, Terraform, and Protobuf or similar schema serialisation formats.
Experience in regulated or B2B platform environments where data compliance and auditability are important.
Culture & Benefits
Hybrid work with home and office options agreed with the manager.
30 days of paid leave, health and dental insurance, life insurance, and disability coverage.
Discretionary annual performance bonus, wellbeing fund, monthly food vouchers, sports card membership, and service discounts.
Continuous learning support for certifications and career growth.
Primary carer leave of 26 weeks at 100% pay and secondary carer leave of 4 weeks at 100% pay, with no eligibility period.
Inclusive workplace with accessibility support available through the talent team.
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