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3 дня назад

Senior Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Engineer (Databricks) (Data Engineering): Building and scaling the Databricks data foundation, ETL pipelines, and DataLakehouse for mobile gaming products and marketing data with an accent on reliable near-real-time processing, PySpark transformations, and high-performance data integration. Focus on migrating legacy data products, monitoring complex pipelines, and applying AI-assisted engineering to production systems.

Location: Hamburg, Germany; flexible hybrid model with remote work on Mondays and Fridays and office attendance on Tuesdays, Wednesdays, and Thursdays.

Company

hirify.global operates a rewarded user engagement and acquisition platform for mobile gaming that helps players discover and engage with games.

What you will do

  • Design, develop, and maintain scalable ETL pipelines on Databricks integrating app, web, and marketing partner data.
  • Build and manage the Databricks DataLakehouse, including migration of legacy data products.
  • Implement data transformations and processing logic with Databricks and PySpark.
  • Monitor, troubleshoot, and optimise nightly and near-real-time data processing and in-house tracking solutions.
  • Collaborate with product, engineering, and cross-functional teams on data integration and provide Tableau support to analysts.
  • Evaluate data engineering best practices and emerging technologies.

Requirements

  • Degree in Computer Science, Engineering, or Information Systems, or bootcamp experience with at least 4 years of professional data engineering experience.
  • Professional experience designing, implementing, and optimising ETL processes and orchestrating production ETL workflows.
  • 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 the ability to write clean, maintainable, production-ready code.
  • Use of AI tools in planning and building work.
  • Excellent problem-solving skills, strong attention to detail, and the ability to work independently and collaboratively.
  • Fluent English, both verbally and in writing.

Nice to have

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

Culture & Benefits

  • Fast-paced, ownership-driven environment focused on practical results and direct communication.
  • Collaborative culture based on respect, accountability, and solving problems proactively.
  • Transport subsidy, learning budget, wellness and gym benefits.
  • Workation, bi-weekly team lunches, and flexible hybrid work.

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