Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du robuste, skalierbare Dateninfrastrukturen und ETL/ELT-Pipelines mit Python, SQL und Scala, während du agiles Datenmanagement und CI/CD-Praktiken für effiziente Datenlösungen implementierst.
Job Technologien
Deine Rolle im Team
- Design and build resilient, scalable data infrastructure optimized for analytical workflows, feature stores, real-time context delivery, and AI-ready, well-documented data for agents and LLM applications.
- Build, maintain, and optimize robust batch and streaming ETL/ELT pipelines using Scala, Python, SQL and dbt.
- Architect clean, cost-efficient, and highly performance schemes across our cloud data warehouse platform on Snowflake.
- Use AI as a daily force multiplier, not only for writing code but across the data lifecycle, from design and documentation to testing, debugging, and incident triage.
- Design, build, and operate agentic workflows (for example, agents that monitor pipelines, investigate data quality issues, generate and validate dbt models, or answer analysts' questions against governed data), with proper guardrails, evaluation, and observability.
- Implement automated testing, observability, and monitoring frameworks to guarantee high data reliability and low latency.
- Follow rigorous CI/CD practices, Infrastructure-as-Code (Terraform), version control, and clear documentation across all data assets.
- Collaborate closely with marketing managers, game teams, product managers, and data analysts to turn ambiguous business needs into high-impact data solutions.
Unsere Erwartungen an dich
Qualifikationen
- Strong background in senior data engineering roles with advanced proficiency in Python and complex SQL.
- Deep familiarity with Docker, Git, CI/CD, unit testing, and Infrastructure-as-Code (Terraform).
- Autonomous problem solver who evaluates technical decisions based on speed-to-market, business value, and ROI rather than theoretical complexity.
- Excellent communication skills with the ability to articulate technical architecture to both engineering peers and business stakeholders.
Erfahrung
- In-depth professional experience as a software engineer or data engineer.
- Deep professional experience in a strongly-typed language such as Scala, Java, or Go for building resilient data services.
- Practical experience with cloud data platforms (favorable Snowflake), dbt and orchestration tools (we use Airflow).
- Hands-on experience applying AI tools in your engineering work and building agentic workflows, including tool use or MCP integrations, orchestration, and evaluation.
Unser Angebot
- We offer a generous relocation package and home search support if you are not already located in Berlin.
- Make use of a significant education budget and extra days off for self-development.
- Enjoy the yoga, mindfulness app, sports and transport subsidies.
- We offer German language classes for you and your significant other.
- With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding.
Benefits
Essen & Trinken
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Wooga GmbH
Wooga möchte für unsere Spieler Freude bereiten und ihren Wunsch wecken, zu sehen, was als nächstes passiert. Unsere Spiele sollen sie in aufregende Welten eintauchen lassen und mit unseren Geschichten emotional berühren – wobei die Handlungen der Spieler die Geschichten vorantreiben. Wir haben unseren Sitz im Herzen von Berlin, wo etwa 200 Mitarbeiterinnen und Mitarbeiter aus aller Welt gemeinsam an story-lastigen Casual Games mit hoher Qualität arbeiten.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
