Analytics Engineer

• Design, implement, and maintain backend services in Python that power our data access and distribution layer
• Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes
• Design and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry
• Build access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API
• Act as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams

Data & Analytics Engineer

• Lead the successful delivery of complex digital, analytics and technology transformation projects.
• Work closely with clients, consultants, designers, engineers, data scientists and technology experts to ensure that teams are aligned, priorities are clear, and delivery remains focused on impact.
• Leading the setup and execution of digital, analytics and technology delivery projects, from mobilisation through delivery and handover.
• Defining delivery approaches, governance structures, rituals, workplans and reporting mechanisms tailored to the client context.
• Managing complex multidisciplinary teams across consulting, design, data science, engineering, product and client stakeholders.
• Translating business objectives into actionable delivery plans, technology requirements, product roadmaps and sprint-level execution.
• Driving project planning, prioritization and coordination across workstreams, ensuring that scope, timelines, dependencies and risks are actively managed.
• Operating confidently within Agile, hybrid Agile and PMO delivery environments, including sprint planning, backlog management, dependency management and release coordination.
• Using tools such as JIRA and other project management platforms to manage delivery transparency, project tracking, reporting and team alignment.
• Supporting or leading Digital Asset Build environments, including delivery governance, documentation, risk tracking, quality management and stakeholder reporting.
• Identifying delivery risks early, shaping mitigation plans and creating a team culture where issues are raised constructively and resolved quickly.
• Facilitating client and team discussions, workshops and decision-making forums to maintain momentum and alignment.
• Ensuring delivery outputs tell a clear story and connect directly to the client’s desired business impact.
• Contributing to proposals, pre-sales conversations, delivery approaches and project mobilisation for new client opportunities.
• Sharing delivery best practices across DNA and helping evolve our delivery methodologies, toolkits and ways of working.

Delivery Lead Specialist – Data & Analytics

• Own and operate our monetization measurement stack, ensuring data quality and actionable outputs across IAP, offers, and the in-game economy
• Build and maintain scalable dbt data models and Tableau dashboards for monetization health metrics
• Develop predictive models for player LTV, payer conversion, and churn risk
• Partner with Game Balancing to analyze the impact of in-game economy and balancing changes on revenue
• Translate measurement outputs into actionable recommendations for senior stakeholders
• Own the monetization data collection layer, ensuring all relevant events are captured correctly
• Design and oversee A/B tests for pricing, offer mechanics, and live ops events
• Conduct payer segmentation and player journey analysis to uncover monetization opportunities
• Collaborate with Data Engineering to ensure reliable data pipelines

Senior Analytics Engineer – Monetization

• betreibst und stabilisierst ELT-Pipelines auf Basis von Snowflake, dbt und Airflow
• entwickelst und pflegst wartbare Datenmodelle in dbt
• integrierst heterogene Datenquellen in konsistente Datensätze
• baust und verantwortest Python‑basierte Ladeprozesse
• implementierst Qualitätsprüfungen und Monitoring entlang der Pipeline
• entwickelst und optimierst Power-BI-Dashboards und -Reports
• agierst als Sparringspartner für deinen Teamlead

Senior Analytics Engineer – Snowflake, Power BI

• Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake)
• Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use
• Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment
• Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability
• Develop and manage semantic layers to standardize and govern key business metrics
• Improve data accessibility and usability across teams by promoting best practices and clear data structures
• Document data models, definitions, and workflows to enhance transparency and data literacy
• Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases

• Design and build Microsoft Fabric Semantic Models (Power BI datasets) on top of Gold‑layer Lakehouse and Warehouse data products
• Define DAX measures, hierarchies, relationships, and semantic model structures
• Develop production Power BI dashboards for Trader P&L, Global Position, VaR, and Financial Consolidation
• Work directly with trading, risk, and finance stakeholders to translate reporting requirements into semantic model design
• Optimize DirectQuery and Import mode performance for complex financial and trading datasets
• Define naming conventions, metric hierarchies, and semantic governance standards for the Fabric workspace
• Collaborate with Data Engineers to ensure Gold‑layer outputs are analytics‑ready
• Support self‑service analytics enablement for client analysts
• Contribute to UAT, report validation, and business sign‑off on accuracy and performance

Analytics Engineer jobs in Germany

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Data & Analytics Engineer

Delivery Lead Specialist – Data & Analytics

Senior Analytics Engineer – Monetization

Senior Analytics Engineer – Snowflake, Power BI

Analytics Engineer

Analytics Engineer, Power BI Specialist