Senior AI-First Data Engineer
New
Based in GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLCloud ComputingAirflowData modelingdbtDatabricks
Requirements
- 6+ years of experience in data engineering, analytics engineering, or a related technical field.
- Proven experience designing, implementing, and operating modern cloud-based data platforms.
- Experience working in high-growth SaaS or technology environments.
- Strong ability to manage complex projects from technical design through successful delivery.
- Experience collaborating with both technical teams and business stakeholders.
- Hands-on expertise with Databricks, dbt, Airflow, Python for data engineering, SQL, and data modeling.
- Strong understanding of data warehousing architectures, orchestration, integration, quality frameworks, and governance practices.
- Experience with streaming architectures, event-driven systems, BI platforms, or customer data platforms.
- Demonstrated AI-first mindset, including experience using AI-powered development workflows and automation tools.
- Curiosity about agentic systems and experience integrating AI into data or analytics workflows.
Responsibilities
- Build and evolve a scalable, cloud-native data platform that supports AI applications, analytics, automation, and business operations.
- Lead the transition from traditional batch processing architectures toward near real-time and streaming data systems.
- Improve data platform reliability, observability, governance, security, and performance through engineering best practices.
- Develop data products and foundations that allow AI agents, analytics systems, and business users to access and leverage trusted information.
- Create semantic layers, metadata structures, and knowledge frameworks that make data more discoverable and actionable.
- Enable AI-driven reporting, forecasting, and business intelligence capabilities.
- Use AI tools to accelerate engineering workflows, including development, testing, documentation, debugging, and monitoring.
- Design systems that allow AI agents to safely query, understand, and interact with business data.
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