Senior Engineering Manager overseeing complex naval ship projects as part of a global defence organisation. Leading teams in delivering technical scopes safely and effectively during a secondment in Indonesia.
About the role
- Leading engineering teams for our Unified Data Platform at an AI-powered healthcare fintech in Berlin. Shaping technical strategies and driving significant visibility in engineering departments.
Responsibilities
- own and scale the engineering teams for Integrations, Data Platform, and Infrastructure - the mission critical data platform at the core of our business and the user workflows.
- partner closely with product and business stakeholders to define business and technical strategy, drive clear priorities and technical decisions that create measurable business outcomes.
- develop a technical strategy for the domain that empowers teams to self-serve, while framing technical decisions through business outcomes such as revenue impact, time saved, and risk reduction.
- operate at every altitude, step in hands-on when needed to unblock teams or clarify complex technical decisions.
- build, grow, and drive cultural change for high velocity engineering teams while raising the performance bar.
- manage and mentor multiple Engineering Managers and their teams by providing structure, direction, and coaching at scale.
- represent the domain together with your product counterpart and drive cross-functional alignment within the organization.
- attract senior talent and hire across profiles (backend, data, infra/SRE, AI tools, EM).
- report directly to the CTO and play a major role in shaping Nelly’s long-term engineering strategy.
Requirements
- 10+ years of experience in engineering, including 5+ years in leadership roles managing managers or multiple teams.
- A proven track record of building and leading high-velocity, cross-functional engineering teams in fast-paced or high-growth environments.
- Built complex data systems that integrate with multiple external data sources (read & write) (e.g. practice management systems) to leverage that for scaled AI and end user facing applications.
- Strong track record in building scalable data platforms with ML/engineering delivery guarantees, data harmonization and canonical models, orchestration frameworks, SLO-driven operations, data contracts, and hybrid cloud/on-premise architecture expertise. A strong business-oriented mindset. You operate in terms of end-to-end outcomes, ROI, operational efficiency and commercial impact.
- Curious, ambitious and experimental mindset: you challenge existing assumptions and bring new perspectives on data, AI-driven architectures, and modern engineering practices. Innovation and insights first, while keeping in mind the complexity of the domain. Familiarity with cloud architecture (AWS preferred) and modern engineering toolchains.
- Excellent communication skills, able to explain complex technical systems simply to non-technical stakeholders, able to voice opinions, disagree and commit.
- Bonus: Experience working in regulated industries, especially healthcare or medical software.
Benefits
- Move your way: BVG ticket or a Swapfiets membership to cruise through the city
- Stay active: Urban Sports membership to sweat, stretch, or sauna your way through the week
- Gear up: Top-of-the-line equipment that actually makes work feel smooth
- Work your style: Flexible hours and a hybrid setup in the heart of Berlin-Mitte
- Change of scenery? Enjoy up to 4 weeks of workation wherever inspiration hits
- Grow fast: A dynamic environment, a steep learning curve, and endless opportunities to level up
- Join the ride: Be part of an AI-powered fintech that’s shaking up the German healthcare market
- Own it: Real responsibility, independent work, and plenty of freedom to make an impact
- Office vibes: A cozy, dog-friendly office where good vibes are basically mandatory
- Snack heaven: A fridge full of cold drinks and snacks waiting to be claimed
Job title
Job type
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Degree requirement
Tech skills
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