Data Engineer

We’re looking for our first Data Engineer to lay the foundations of LANCH’s end-to-end data platform. You’ll own everything that turns operational events into trusted, analysis-ready datasets - from real-time streaming and batch pipelines to the orchestration frameworks that keep them humming. Working hand-in-hand with product, engineering, and ops, you will design and implement the data infrastructure that powers menu optimisation, delivery routing, brand performance dashboards, and much more.

• Architect and launch a scalable event-streaming platform (e.g., Pub/Sub, Kafka) that captures orders, logistics updates, and app interactions in real time.
• Build and maintain a modern Reverse ETL layer (e.g., Census, Hightouch) to push clean warehouse data back to internal applications like our Partner Portal, LANCH OS, or our CRM.
• Evolve our Airflow and ELT environment: modular DAG design, automated testing, CI/CD, observability, and cost-efficient GCP execution.
• Collaborate with backend engineers to instrument services for analytics & tracing; champion event naming conventions and schema governance.
• Set engineering standards - code reviews, documentation, security, and infra as code (Terraform) - that will scale as we 10x the team and data volume.

• 2+ years building data infrastructure in cloud environments.
• Professional experience in designing and developing ELT pipelines.
• Hands-on experience with at least one streaming technology (Pub/Sub, Kafka, Kinesis, Dataflow, ...).
• Fluent in Python for data processing; comfortable writing performant SQL (BigQuery dialect a plus).
• Proven track record orchestrating pipelines with Airflow (or Dagster, Prefect) and deploying via Docker & GitHub Actions.
• Product mindset: you enjoy sitting with ops teams or restaurant managers to translate fuzzy business challenges into robust data pipelines.
• Bias for action and ownership: you prototype quickly, measure impact, and iterate - yesterday’s idea should be today’s scheduled DAG.
• Collaborative communicator - fluent English; conversational German.
• Eager to work mostly on-site in our Berlin Prenzlauer Berg office.

• Data Warehouse: BigQuery
• Transformation & Modelling: dbt, SQL
• Orchestration: Airflow
• Streaming / Messaging: Google Pub/Sub, Apache Kafka (greenfield)
• Backend & APIs: Python, FastAPI, SQLModel, PostgreSQL
• Infrastructure: GCP, Terraform, Docker, GitHub Actions
• Analytics & BI: Metabase, Pandas, Notebook-based exploration
• Reverse ETL: Census, Hightouch, ... (greenfield)

If parts of the stack are new to you, no worries - what matters most is your drive to learn fast and build data products that power thousands of meals a day.

If shaping the data foundation of a high-growth food tech startup excites you, we’d love to meet you.

• A steep learning curve with a high career growth trajectory and massive ownership
• Hybrid working and flexible working hours combined with a fair target salary
• Offsite team events and regular get-togethers
• Unique team spirit and flat hierarchies
• Amazing 40 people team & highly experienced leadership team to learn from
• Value-centered decision making: fast, transparent, creative and fun
• Team offsites every 16 weeks to come together in-person & strengthen our relationships
• Complete ownership on every level