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20 часов назад

Technical Lead - Analytics Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Technical Lead - Analytics Engineer (iGaming): Defining and owning the modeling architecture, standards, and technical direction for a cloud-native Data Platform with an accent on ensuring reliable, scalable, and business-aligned analytics-ready data. Focus on leading the design and governance of core data models in Snowflake and dbt, establishing best practices, and mentoring Analytics Engineers.

Location: Hybrid in Serbia

Company

hirify.global is a market leader in online casino and sports betting, building bridges between online, social, and land-based gaming to create integrated player experiences.

What you will do

  • Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts.
  • Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization.
  • Ensure analytical datasets are accurate, reliable, and serve as a single source of truth.
  • Embed data quality checks, documentation, and governance directly into analytics pipelines.
  • Partner closely with Product, Data Engineering, and Analytics teams to translate business requirements into data products.
  • Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
  • Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
  • Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
  • 7+ years in data warehousing or development; 5+ years in hands-on data engineering using SQL and Python.
  • Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
  • Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery).
  • Strong written and verbal English skills with the ability to collaborate across technical and business functions.

Culture & Benefits

  • Comprehensive compensation.
  • Work-life balance initiatives.
  • Autonomy, creativity, and opportunities for personal and professional growth.
  • Work with top-notch professionals who are passionate about what they do.
  • People-oriented environment and supportive atmosphere.
  • Huge impact on product and company in a rapidly growing industry.

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