Senior Data Engineer / Data Business Partner (f/m/x)

Beschreibung:
As a Senior Data Engineer / Data Business Partner, you will own and evolve the data ecosystem that powers decision making and enables AI-powered features. You will build reliable data foundations, but also take ownership of the data products and metrics that the business depends on. You will work closely with stakeholders across the company, use AI to accelerate delivery and improve quality, and shape the future of our data capabilities.

Deine Aufgaben:
• Own business-critical data products end-to-end (definitions, reliability, adoption)

• Design, build, and maintain scalable data pipelines using our stack (Airflow, dbt, AirByte, Fivetran)

• Ensure the reliability and performance of our AWS-based data infrastructure (S3, RDS, Kubernetes)

• Implement and maintain data quality frameworks, monitoring, and observability

• Develop and maintain trusted semantic models and metric definitions (“single source of truth”)

• Partner with Product, Finance, and other stakeholders to translate goals into reliable data deliverables

• Integrate AI/ML enrichment where it adds measurable value (tagging, recommendations, automation)

• Use AI-assisted development tools to increase speed, quality, and maintainability

• Contribute to security, governance, and compliance best practices

Mentor and support the team in building mature data engineering practices

Dein Profil:
• Strong professional experience with Python and SQL in data engineering

• Professional experience with Airflow (required)

• Experience with dbt (strongly preferred)

• Experience with ELT/ETL tools like AirByte, Fivetran, or similar

• Experience working in AWS cloud environments

• Experience with data quality, testing, and operational excellence

• Strong stakeholder management and prioritization skills

• Hands-on experience integrating AI into workflows (model APIs, embeddings, automation)

• Active user of AI-assisted development tools (Copilot, Cursor, Claude Code, etc.)

• A mindset of ownership, pragmatism, and high standards

Nice to have:

• MLOps, streaming, vector databases, or BI tooling experience

Warum wir?:
• Work for a company with a clear mission: to make teachers' work easier

• A dynamic work environment in a growing company

• A corporate culture based on trust and constant feedback

• Innovation time (10% rule) - use it to explore AI and emerging technologies

• Opportunities for professional development

• Annual budget for your professional and personal development

• Flexible working hours and home office options

• A committed and motivated team

• Contribution to the company pension scheme

• Anonymous mental health support and psychological counseling through our partner OpenUp