ABOUT AMBOSS

AMBOSS is the copilot for medical professionals, empowering them to provide the best possible care through our learning and

clinical decision support tool. Our team brings together care, innovative thinking, and cutting-edge AI medical technology. Our

founders launched AMBOSS in 2012 with the goal of creating a tool they wished they had during medical school and clinical

practice. Since then, we've grown to over 600 employees and are active in over 180 countries - primarily in Germany and the US.

Our offices are located in Berlin, Cologne, New York, Cagliari and Cape Town.

Want to learn more about our culture? Watch our videoto explore what makes us unique

WHY DATA & ANALYTICS AT AMBOSS?

Join a high-trust, cross-functional team where data sits at the heart of every product decision, commercial bet and operational

process. You will work side-by-side with our Analytics team, Product, Engineering, Commercial, Medical and Operations colleagues

to turn a modern, cloud-native stack (GCP/AWS, BigQuery, Airflow, Airbyte, dbt, Looker, Mixpanel, Claude Code) plus a growing set

of integrations and internal tools into reliable insights that move the business forward. Your work will guide decisions that

reach medical students and clinicians worldwide, directly advancing our mission to enable all medical professionals to provide the

best possible care.

ROLE OVERVIEW

As Data Platform Lead you will be the people manager of a small, senior team and the domain expert steering AMBOSS's end-to-end

data platform strategy. That said, the role is broader than a classic data platform mandate. Beyond owning platform evolution and

pipelines, you and your team also own the integration layer to our ERP and other core business systems. On top of that you build

small services and internal tools that solve specific business and operations problems. One current example is our master data

management service for medical institutions around the world, which powers B2B commercial work and product experience.

This role is more dynamic and more business-forward than a pure engineering leadership position. Communication with stakeholders

across Commercial, Product, Finance, Operations and Medical is constant. Engineering excellence still matters, but coordination,

prioritization, fast judgement calls and a strong hands-on mentality matter at least as much.

YOU WILL:

Set the course. Own and sequence the roadmap across the data platform, ERP and business systems integrations, plus the internal

tools and services your team builds and runs.

Own the Single Source of Truth for the entire company so Analysts, Scientists and stakeholders across departments speak the

same data language and use the same metrics.

Develop the team. Hire, mentor and grow 3 to 5 Data Engineers. Run clear goal-setting and feedback cycles.

Architect for scale. Design and review core components: batch and real-time pipelines, modeling layers, integrations,

governance, observability and CI/CD so Analysts, Data Scientists and other Engineering teams can self-serve with confidence.

Build internal services and tools to unblock the business. Our master data management service for medical institutions is one

example. Expect more of these as the business grows.

Partner with Commercial, Finance, Product, Operations and Medical. Translate ambiguous business needs into systems and data

products that move the company forward.

Navigate ambiguity and stay hands-on. Create structure where there is none, sequence the work pragmatically and make the call

when there is no obvious right answer. This is not a step-back-and-review-PRs role. You will be in the work alongside your team

on the highest-leverage problems.

Raise the bar. Codify engineering standards for code quality, testing, reliability and incident response. Scale agentic coding

and AI-assisted workflows so a small team can punch above its weight.

Stay tool-agnostic: evaluate, pilot and when needed retire technologies based on evidence rather than hype.

YOU BRING:

5+ years in data engineering or data 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 or similar).

Solid grasp of data modelling, governance and observability patterns.

Experience integrating with or building against business systems such as ERP, Shop or even Bank integrations. You are

comfortable owning that layer end to end.

A track record of working closely with Commercial, Finance, Operations or Analytics stakeholders and treating them as

first-class partners.

A bias to action in ambiguous situations. You would rather make a reasonable call and adjust than wait for perfect information.

Hands-on fluency with agentic coding AI tools (like Claude Code) and a track record of using AI to accelerate engineering work.

Excellent English communication. German is a plus.

Bonus: exposure to AI/LLM workloads or vector databases on the production side.

YOU ENJOY:

Operating in a fast-moving, ambiguous environment where the plane gets built while you are flying in it. You like being

pragmatic and bringing in structure without slowing the business down.

Coordinating across many stakeholders. You move easily between an engineering deep-dive in the morning and a Commercial

leadership conversation in the afternoon.

Staying hands-on as a leader. You are happy to write SQL, debug an integration or scope an internal tool yourself when that is

what the situation calls for.

Translating between worlds. You take messy business problems and turn them into clear technical scope. You take technical

trade-offs and turn them into concise narratives executives can act on.

Coaching and unblocking engineers and analysts through clear expectations and constructive feedback.

Seeing the platform-level picture: designing for security, self-service and future scale rather than one-off pipelines.

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.

🌴 Rest & Time Off (30 paid vacation days, AMBOSS holiday, personal purpose day and more)

🥙Food & Office Comfort (Daily healthy breakfast & lunch by in-house chef in Berlin HQ, AMBOSS daycare, work remotely from other

office spaces in Cologne, Sardinia, Cape Town)

🏃 Health, Fitness & Mobility (Urban Sports Club -M plan- , Fitbit Versa 3, Deutschland Ticket…)

Check out the full list of benefits below:

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

We believe that diversity is a powerful driver of innovation and progress. That’s why we are committed to fostering an inclusive,

respectful, and supportive environment where everyone—regardless of gender, age, ethnic or cultural background, religion,

disability, sexual orientation, gender identity—is valued and given equal opportunity to thrive. We warmly welcome people of all

backgrounds to help us fulfil our mission: empowering all medical professionals to provide the best possible care 🩺

Even if you don’t meet every single point in the job description, we still encourage you to apply. We’d love to hear from you!

Roll

Team Lead - Data Platform

Plats

Berlin, Tyskland

Publicerad

20 maj

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

Python AWS GCP SQL AI Go Rust Terraform CI/CD Snowflake BigQuery ERP

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