2 дня назад
Senior AI Data Expert (f/m/x)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
7 дней назад
Data Engineer (Senior) (AI)
3 дня назад
Senior Data Engineer - Data Foundations (All Genders)
70 000 - 85 000€
2 дня назад
Data Engineer (EU) (FinTech)
2 800 - 4 550€
2 дня назад
Software Dev Engineer - Big Data Processing, S3 - Data and Analytics (Big Data)
2 дня назад
Senior Analytics Engineer (Quick Commerce)
8 дней назад
Senior Data Engineer - Sponsored Content & Products (all genders)
70 000 - 85 000€