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9 дней назад

Data Engineer (BigQuery)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior/middle
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (BigQuery): Building and evolving an analytics warehouse and data pipelines from product and marketing sources with an accent on BigQuery, Python ETL/ELT, SQL optimization, and warehouse modeling. Focus on integrating external APIs, implementing data quality and versioning practices, and translating product and marketing needs into reliable data structures.

Location: Hybrid in Warsaw, Poland — 2 days in the office and 3 days remote

Company

hirify.global is a technology startup building subscription and mobile-oriented products supported by analytics infrastructure.

What you will do

  • Build and evolve the analytics warehouse on BigQuery.
  • Set up data pipelines from product and marketing sources such as AppsFlyer, Adjust, RevenueCat, Amplitude, Mixpanel, and Facebook Ads.
  • Shape data for analysts and product managers and document the data model.
  • Establish warehouse practices including raw, staging, and marts layers, naming conventions, versioning, and data quality tests.
  • Work with product, marketing, and analytics stakeholders to translate business questions into data structures.

Requirements

  • 2+ years of hands-on data engineering experience, or a strong analytics background with a real engineering component.
  • Production experience with Python for ETL/ELT scripts, APIs, and pipeline automation.
  • Experience with GCP, including BigQuery, Cloud Functions, and Cloud Storage.
  • Confident SQL skills, including window functions, CTEs, and query optimization.
  • Understanding of analytics warehouse principles, idempotency, incremental loads, and normalization versus denormalization.
  • Experience with external API integrations, Git branching, code review, and communication with non-technical stakeholders.

Nice to have

  • Experience with AppsFlyer, Adjust, Adapty, Amplitude, or Mixpanel.
  • Knowledge of mobile attribution, including SKAdNetwork, postbacks, and deterministic versus probabilistic attribution.
  • Experience with BI tools such as Looker Studio, Metabase, Tableau, or Power BI.
  • Terraform or IaC experience for GCP resources.
  • Experience with CDC or streaming technologies such as Pub/Sub and Dataflow.

Culture & Benefits

  • Hybrid work with three remote days per week.
  • Lunch covered on office days.
  • Startup environment with low bureaucracy and no micromanagement.
  • Flexibility focused on results rather than fixed working hours.
  • Team offsites and events throughout the year.
  • Opportunity to contribute ideas and work creatively.

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