Senior Data Engineer

AMBOSS; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

AMBOSS is seeking a Data Platform Lead to manage a senior data-engineering squad and drive the platform strategy. This role involves owning the data-platform roadmap, ensuring data consistency across departments, and leading a team to deliver impactful data solutions for clinical outcomes. Candidates should have extensive experience in data engineering, strong technical skills in SQL and Python, and excellent communication abilities.

Leistungen

Employee benefits package

Support for financial, physical, and mental health

Work-life harmony

Qualifikationen

• 5+ years in data-engineering/platform roles, including 2+ years leading projects or people.
• Hands-on expertise with cloud warehouses and major cloud providers.
• Excellent English communication; German a plus.

Aufgaben

• Own and sequence the data-platform roadmap.
• Hire, mentor, and grow a team of Data Engineers.
• Architect for scale and lead migrations or new platform initiatives.

Kenntnisse

SQL

Python

Data Modeling

Cloud Warehouses

CI/CD

Communication

Tools

Airflow

dbt

BigQuery

Snowflake

GitHub Actions

Terraform

Jobbeschreibung

Hello, we are AMBOSS and we are looking for a Data Platform Lead to join our team!

About AMBOSS

AMBOSS is a learning and clinical decision support tool striving to empower physicians across the globe to provide the best possible care. Our founders set out in 2011 to create a tool that they would have hoped to have as medical students and doctors. Since then we have grown to currently operate in 180 countries and have gained immense traction in Germany and the US. Currently, we are pursuing this mission with more than 500+ employees in our offices in Berlin, Cologne, New York, and Cagliari.

Role Overview

As Data Platform Lead you will be the people manager of a small, senior data-engineering squad and the domain expert steering our end-to-end platform strategy. You’ll own the roadmap, architecture, and delivery of a reliable, self-service data platform that lets analysts, scientists, and product teams move fast and trust their numbers—ultimately powering clinical outcomes for users in 180 countries.

What You’ll Do

• Set the course. Own and sequence the data-platform roadmap—warehouse evolution, cost-to-serve optimization, and more.
• Own the Single Source of Truth for the entire company, ensuring stakeholders in different departments and functions speak the same “data language” and use the same metrics.
• Build the team. Hire, mentor, and grow 3-5 Data Engineers; run clear goal-setting and feedback cycles.
• Architect for scale. Design and review core components (batch & real-time pipelines, modeling layers, governance, observability, CI/CD).
• Deliver the big moves. Lead large migrations or new platform initiatives.
• Raise the bar. Codify engineering standards for code quality, testing, reliability, and incident response.
• Partner & influence. Work closely with Analytics, Product, and Infrastructure to balance speed with tech debt and evangelize best practices.
• Stay tool-agnostic. Evaluate, pilot, and—when needed—retire technologies based on evidence, not hype.

You’re Good At

• Seeing the platform-level picture—designing for security, self-service, and future scale, not one-off pipelines.
• Turning ambitious visions into shipped, production-grade systems on schedule.
• Coaching and unblocking engineers & analysts through clear expectations and constructive feedback.
• Translating technical trade-offs into concise narratives executives and stakeholders can act on.
• Driving change in fast-moving, cross-functional environments.

What You’ll Bring

• 5 + years in data-engineering / platform roles, including 2 + years leading projects or people.
• Deep SQL and strong Python; production experience with Airflow, dbt, or comparable frameworks.
• Hands-on expertise with cloud warehouses (BigQuery, Snowflake) and at least one major cloud provider (AWS or GCP).
• Proven CI/CD and IaC chops (GitHub Actions, Terraform, etc.).
• Solid grasp of data modelling, governance, and observability patterns.
• Excellent English communication; German a plus.
• Bonus: exposure to AI/LLM workloads or vector databases.

Benefits

AMBOSSians tell us that innovative work keeps them energized and employee benefits help them to feel appreciated and empowered. We invest in every AMBOSSian with our employee benefits package, crafted to support financial, physical, and mental health, and work-life harmony.

Check out all of our employee benefits in Germany below:

https://go.amboss.com/the-amboss-prescription-de

We believe in diversity as a driving force of innovation and welcome people of all backgrounds to help us achieve our mission of empowering physicians to provide the best possible care – to everyone, everywhere.