Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will design and develop resilient, scalable data infrastructures and ETL/ELT pipelines using Python, SQL, and Scala, implementing agile data management and CI/CD practices for efficient data solutions.
Job Technologies
Your role in the 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.
Our expectations of you
Qualifications
- 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.
Experience
- 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.
What we offer
- 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
Food & Drink
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Wooga GmbH
At Wooga, we're all about creating joyful experiences that'll have you coming back for more. We provide a place for you to become part of exciting worlds and touch your heart with our stories. Your actions drive the stories forward! We're based in the heart of Berlin, where about 200 employees from around the world work together to create high quality story-driven casual games.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
