We’re on the lookout for an ambitious Lead Data Engineer to join our Engineering team at our office in Berlin. Come make an impact at the early stage and well-funded medical fintech!
As the Lead Data Engineer at Nelly, you will play a pivotal role in evolving and shaping the company’s data strategy and infrastructure. You’ll be responsible for enhancing and scaling the existing data architecture to support product development and critical business decisions, ensuring that data is reliable, accessible, and aligned with organizational goals.
We are eager to find a driven self-starter who is excited to build a function from the ground up and thrives in fast-paced environment.
About Nelly
At Nelly, we streamline practice management and eliminate paper chaos. Our digital solutions include patient check-in, real-time document handling, and efficient billing with digital invoices and factoring, all accessible via smartphones. Backed by top investors like Lakestar, GFC, b2venture, and Motive Partners, we aim for rapid, sustainable growth.
Europe has over 1 million medical practices helping millions of patients daily. Small improvements in patient handling can significantly impact society. However, most practices still rely on paperwork and manual processes. We’re on a mission to change that!
We believe medical practitioners should focus on treating patients, not administrative tasks. Our solutions let practices concentrate on patient care, while digital documents and invoices are handled with no time.
What you’ll get to do
- Establish a foundational data infrastructure from the ground up, including robust data pipelines and a data warehouse.
- Collaborate with product and engineering leadership to define the data roadmap, ensuring alignment with business goals and priorities.
- Implement and enforce data governance, quality standards, and data engineering best practices across the company.
- Own the internal BI tooling (Looker).
- Lay the groundwork for building a future data engineering team.
What you'll bring
- Extensive experience in designing, building, and optimizing scalable data infrastructure using modern open-source and SaaS tools and frameworks.
- Strong knowledge of data modeling, ETL processes, and cloud platforms (ideally AWS and/or GCP).
- Deep knowledge of RDBMS (specifically PostgreSQL).
- Ability to translate complex business problems into efficient data solutions.
- Excellent communication and interpersonal skills to work effectively with both technical and non-technical stakeholders.
What we offer
- Competitive salary.
- Top of the line working equipment.
- Generous budget for learning and development activities.
- Flexible working hours and hybrid work mode in Berlin.
- 4 weeks workation possibility.
- Cozy and dog friendly office in the city centre.
- BVG Ticket or Swapfiets subscription.
- Urban Sports membership.
We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.
