Data engineer in digital health

Pregnancy, childbirth, and early parenthood bring about a lot of changes. And with each phase, new questions arise: small ones, big ones, practical ones, emotional ones. Glimmer helps to see more clearly what's happening right now, what's important, and what's right. Glimmer is a Berlin-based start-up with around 40 employees. As our Senior Data Engineer, you'll be part of the Data & Engineering team and play a key role in building the data foundations that help us turn insight into better care for every family we support.

• Within your first 3 months: You've mapped our current data landscape, including legacy systems, inherited sources from acquisitions, pipelines and dependencies, and you've shared a clear target architecture and migration plan that the team supports.
• Within 6 months: The foundations of the new data warehouse are live, the most important data sources are migrated, and the first legacy pipelines and tools have been retired.
• Within 12 months: The new warehouse is our single source of truth. Redundant systems are gone, core metrics are defined consistently across the business, and teams trust the data without double-checking it.
• Throughout: Data is easier to find, understand and use. Onboarding a new source or answering a new question takes days, not weeks, and the platform is documented well enough that it doesn't depend on any one person.
• Design, build and maintain scalable ETL/ELT pipelines using SQL, Python and PostgreSQL
• Own and evolve our cloud data infrastructure on AWS (primarily EC2 & RDS), balancing performance, reliability, security and cost.
• Own the end-to-end engineering of our automated insurance invoicing pipeline, so that reimbursement, claim status and financial data flow accurately and reliably into downstream systems
• Build and maintain ingestion pipelines that connect product, web, CRM and advertising platforms (e.g. Amplitude, Meta, Google Ads, HubSpot) into a unified data model
• Develop and maintain integrations with internal and external tools and SaaS products via REST APIs
• Design and implement data models and warehouse schemas that support business reporting, product analytics, experimentation and regulatory requirements
• Put data quality, testing, monitoring and alerting in place so problems are caught before they reach stakeholders
• Orchestrate and automate workflows, and apply software engineering best practices (version control, CI/CD, code review, documentation)
• Make sure data is handled in line with GDPR, health data privacy requirements, and internal policies, including access control, pseudonymisation and retention policies
• Work closely with Marketing, Product and Finance to understand their data needs and deliver datasets that feed tools such as AWS Quicksight
• Share knowledge and coach team members on data concepts, tooling and best practices

• 3+ years' experience in Data Engineering or a closely related role, ideally in a startup or scale-up
• Strong hands-on skills in SQL, Python, PostgreSQL and AWS (EC2/RDS)
• A track record of building and owning data pipelines and warehouse architectures from scratch in fast-moving environments
• Experience with API integrations, workflow automation and version control (GitHub)
• Solid understanding of data modelling, data quality practices and pipeline observability
• Awareness of data privacy and security, ideally with experience handling sensitive or regulated data (GDPR)
• A high degree of autonomy, curiosity and ownership
• Fluent in English
• Будет плюсом: Nice to have: experience with orchestration tools (e.g. Airflow, Dagster), transformation frameworks (e.g. dbt), infrastructure as code, or BI tools like AWS Quicksight; German is a plus

• You'll own the architecture and foundations of our data platform, not just execute a roadmap, but shape it.
• You'll build deep expertise in modern data architecture, regulated health data handling, and cross-functional platform ownership, while coaching others along the way.
• You'll work closely with Marketing, Product and Finance, seeing firsthand how clean, trustworthy data shapes real decisions across the company.
• You're building the data backbone for a digital health platform that supports women and families through pregnancy, birth and early parenthood.
• You'll be part of a motivated, diverse team that shares knowledge and supports each other.
• Regular team breakfasts and fixed celebrations throughout the year keep the team connected.
• 30 days of paid vacation, an Urban Sports Club membership and 3 months remote work allowance are waiting for you.