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Data engineer in gaming

Online/Außer Haus - Idealerweise für Kandidaten in
10115, Berlin, Berlin, Deutschland
Unternehmen: Wooga
Fernarbeit/Heimarbeit position
Verfasst am 2026-10-24
Berufliche Spezialisierung:
  • Software Entwicklung
    Dateningenieur, Künstliche Intelligenz Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 140000 EUR pro Jahr EUR 90000.00 140000.00 YEAR
Stellenbeschreibung
Описание:

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.

Задачи:

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.

Требования:

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.

Условия:

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.

  • We offer a generous relocation package and home search support if you are not already located in Berlin.
  • Did we mention that we also cooperate with Kindergartens?
  • Make use of a significant education budget and extra days off for self-development.
  • Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others.
  • Enjoy the yoga, mindfulness app, sports and transport subsidies.
  • And a Purpose Day to donate your time to a worthy cause!
  • Did you know that German is the third most commonly taught language worldwide? Learn it too!
  • 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 The other three days you can choose if you want to work from home or from the office.
  • We also offer 10 days a year to work from abroad.
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