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Wooga in Berlin is seeking a high-impact Senior Data Engineer to join our Data Engineering team. You will architect the data foundation powering our casual games and analytics, owning data outcomes and bridging technical execution with strategy.
Design and build scalable data infra, batch and streaming ETL/ELT pipelines with Python, SQL, dbt, and Scala. Work with Snowflake, Airflow, Terraform, and AI-enabled workflows, ensuring reliability, observability, and cost efficiency while collaborating
We are looking for a high-impact, proactive Senior Data Engineer to join our Data Engineering team in Berlin. In this role, you won't just build pipelines—you will architect the data foundation that powers our next generation of casual games and advanced analytics, and AI-driven workflows. You will be in an environment where you can take full ownership of business outcomes, bridge technical execution with strategy, and proactively identify opportunities to optimize and scale our data transformation journey.
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.
In-depth professional experience as a software engineer or data engineer. Strong background in senior data engineering roles with advanced proficiency in Python and complex SQL. 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. You know where agents add real value, where human review is essential, and how to keep them reliable, secure, and cost-aware. 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.
Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world's best games.