KAYAK
Senior Data Engineer (m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Nejo KI-Zusammenfassung
Architecting data infrastructure for games, analytics, and AI workflows on Snowflake. Advanced Python and complex SQL proficiency required. Hybrid work, 10 days to work abroad, generous relocation package.
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Anforderungen
- In-depth professional experience as software/data engineer
- Senior data engineering roles experience
- Advanced Python proficiency
- Complex SQL proficiency
- Deep professional experience in strongly-typed language
- Experience building resilient data services
- Practical cloud data platforms experience
- Practical dbt experience
- Practical orchestration tools experience
- Hands-on AI tools engineering experience
- Experience building agentic workflows
- Knowledge of agent tool use or MCP integrations
- Knowledge of agent orchestration and evaluation
- Understanding of agent value, human review, reliability, security, cost
- Deep familiarity with Docker
- Deep familiarity with Git
- Deep familiarity with CI/CD
- Deep familiarity with unit testing
- Deep familiarity with Infrastructure-as-Code (Terraform)
- Autonomous problem solver
- Evaluates technical decisions based on speed-to-market, business value, ROI
- Excellent communication skills
- Ability to articulate technical architecture to peers and stakeholders
- Desire to learn
- Willingness to solve problems
Aufgaben
- Architect data infrastructure for games, analytics, and AI workflows
- Design and build scalable data infrastructure for analytical workflows, feature stores, and real-time context delivery
- Design and build AI-ready, well-documented data for agents and LLM applications
- Build, maintain, and optimize batch and streaming ETL/ELT pipelines using Scala, Python, SQL, and dbt
- Architect clean, cost-efficient, and high-performance data schemes on Snowflake
- Use AI as a force multiplier across the data lifecycle, including design, documentation, testing, debugging, and incident triage
- Design, build, and operate agentic workflows for pipeline monitoring, data quality investigation, dbt model generation, and data querying
- Implement guardrails, evaluation, and observability for agentic workflows
- Implement automated testing, observability, and monitoring frameworks for data reliability and low latency
- Follow CI/CD practices, Infrastructure-as-Code (Terraform), and version control
- Maintain clear documentation across all data assets
- Collaborate with marketing, game, product, and data teams
- Translate ambiguous business needs into data solutions
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
PythonSQLScalaJavaGoSnowflakedbtAirflowDockerGitCI/CDTerraform
Benefits
Flexibles Arbeiten
- Hybrid work model
Workation & Sabbatical
- 10 days to work abroad
Sonstige Zulagen
- Generous relocation package
- Significant education budget
Sonstige Vorteile
- Home search support
- Talks
Familienfreundlichkeit
- Kindergarten support
Mehr Urlaubstage
- Extra days off for self-development
Team Events & Ausflüge
- Meet-ups
Gratis oder Vergünstigte Mahlzeiten
- Brown bag lunches
Weiterbildungsangebote
- Internal trainings
- Workshops
- German language classes
Gesundheits- & Fitnessangebote
- Yoga
- Sports subsidies
Mentale Gesundheitsförderung
- Mindfulness app
Öffi Tickets
- Transport subsidies
Sinnstiftende Arbeit
- Purpose Day
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Wooga erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei WoogaÜber das Unternehmen
WO
EntertainmentBerlin
The company creates high-quality casual games with engaging stories at the core of the experience.
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