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2 дня назад

Senior AI Data Expert (f/m/x)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI Data Expert (f/m/x) (AI/Databricks): Building and scaling the data foundation for mobile gaming products, including ETL pipelines, a Databricks lakehouse, and near-real-time tracking systems with an accent on PySpark processing, production data quality, and AI-native engineering workflows. Focus on integrating data from products and marketing partners, optimizing high-traffic pipelines, and solving cross-disciplinary data engineering, machine learning, data science, and analytics problems.

Location: Hamburg, Germany; full-time, permanent employee

Company

hirify.global builds consumer products in mobile gaming and operates a rewarded user engagement and acquisition platform for publishers.

What you will do

  • Design, develop, and maintain scalable ETL pipelines on Databricks for app, web, and marketing partner data.
  • Build and manage the Databricks data lakehouse, migrate legacy data products, and implement transformations with PySpark.
  • Monitor nightly and near-real-time tracking pipelines, troubleshoot issues, and optimize data quality and integrity.
  • Turn open business questions into decision-ready analysis across data engineering, machine learning, data science, and analytics.
  • Use Claude and similar AI tools daily for planning, development, debugging, documentation, communication, and parallel agent-assisted work.
  • Maintain structured AI project context, integrate AI into version-control workflows, and collaborate across functional areas.

Requirements

  • At least 4 years of professional experience across data engineering, machine learning, data science, or analytics.
  • Experience in at least two of these data disciplines and a degree in a related field or bootcamp experience.
  • At least one year of current, hands-on Databricks experience designing, implementing, and optimizing ETL processes.
  • Hands-on experience with Databricks and AWS services such as S3, Kinesis, and Lambda or similar technologies.
  • High proficiency in Python, SQL, and PySpark, with experience writing production-ready code.
  • Fluent English is required. Daily hands-on use of AI tools, structured context and memory management, and AI-assisted Git worktree workflows are core requirements.

Nice to have

  • Experience with GitLab CI/CD pipelines.
  • Familiarity with PostgreSQL.

Culture & Benefits

  • Fast-paced, impact-oriented environment focused on essential work and rapid iteration.
  • Strong ownership culture with direct communication and cross-functional problem solving.
  • Transport subsidy and learning budget.
  • Wellness and gym benefits, workation options, and bi-weekly team lunches.

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