Salary: 50.000 - 75.000 € per year

• • Strong communication and stakeholder management in both English and German (written + spoken) - min. C1
• • Production-level experience in Python for data and AI engineering (pipelines, APIs, orchestration)
• • Solid SQL and data modeling expertise (including incremental strategies)
• • Hands-on experience with a major cloud provider (AWS, GCP, or Azure)
• • Terraform/IaC experience for provisioning cloud infrastructure
• • Experience using at least one modern BI tool (e.g., Metabase, Power BI, Looker)
• • Deep AWS experience (S3, Lambda, Glue, Redshift, OpenSearch)
• • Hands-on experience deploying AI/LLM-based systems into production
• • Experience using dbt Cloud for transformation pipelines
• • Familiarity with tracing and observability (e.g., Langfuse, OpenTelemetry)
• • Experience preparing datasets and running supervised fine-tuning (SFT) of LLMs
• • Exposure to reverse ETL tools (e.g., Census, Hightouch) or building custom syncs to HubSpot, Slack, APIs

• AI & Application Engineering
• • Architect and deploy AI-powered systems into production (e.g., FastAPI apps with RAG architecture using OpenSearch and Langfuse)
• • Optimize agentic workflows, prompt & embedding pipelines, and retrieval quality through experimentation and tracing
• • Extend LLM capabilities with supervised fine-tuning (SFT) for in-domain data distributions where RAG alone underperforms
• Data Engineering
• • Build scalable ingestion and transformation pipelines for both proprietary and external data (using Lambda, Glue, Terraform)
• • Own embedding pipelines for retrieval-augmented generation systems
• • Manage infrastructure-as-code for all core components (Redshift, S3, VPC, IAM, OpenSearch)
• Analytics Engineering & BI
• • Maintain and evolve a clean, documented data model (dbt Cloud leverage Fusion)
• • Develop and maintain BI dashboards in QuickSight and/or Metabase
• • Provide ad-hoc analytical support for product, sales, and ops teams
• • Build event-driven automation and reverse ETL pipelines to serve data or AI outputs back into operational systems (e.g., HubSpot)
• Leadership & Collaboration
• • Work closely with stakeholders across engineering, product, and operations to define the right data products and abstractions
• • Lay the foundation for a high-performing Data & AI team. Help hire, mentor, and establish best practices as we grow

• AI
• AWS
• Architect
• Azure
• Cloud
• ETL
• FastAPI
• GCP
• IAM
• Support
• LLM
• Looker
• Power BI
• Python
• SQL
• Slack
• Terraform
• dbt

More:

Welcome
We're looking for a senior-level engineer to take full ownership of our data and AI systems, from ingestion and modeling to embedding pipelines and LLM-based applications. You'll operate across domains (data infrastructure, BI, and AI), working closely with stakeholders in product, operations, and engineering. This is a full-stack data role with a dual mandate:
- Build and scale our AI-native data platform
- Help shape and lead a growing Data & AI team as we scale
We're early-stage, so you'll move between strategy and code, long-term design and fast iteration. You'll lay the groundwork not just for the system, but for the team that will own it.

Why we
• Become part of one of Europe's fastest-growing ClimateTech start-ups.
• Supported by leading US and EU investors, we are shaping the future of the sustainable construction and real estate industry.
• Modern headquarters in the west of Berlin: conveniently located and well connected.
• Hybrid work model with flexible working hours.
• 30 vacation days plus one additional day per year, as well as time off on December 24 and 31.
• We reward referrals for our open positions through a thoughtful and appreciative referral program.
• After the probation period: up to five days of educational leave per year with a budget of €1,500.
• BVG public transport ticket.
• Membership at Urban Sports Club.
• Don't just work with us, but help shape the change and drive decarbonization forward.

last updated 1 week of 2026