Data engineer in digital health

Glimmer; Berlin; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

30 дней отпуска в год

Urban Sports Club

3 месяца удаленной работы

Résumé du poste

Glimmer, берлинский стартап о 40 сотрудников, ищет старшего Data Engineer для построения и эволюции баз данных и инфраструктуры. Ваша роль — проектирование и котроль за ETL/ELT пайплайнами, работа с AWS (EC2/RDS) и интеграциями через API, чтобы обеспечить единое хранилище данных и качество данных.

Вы будете сотрудничать с маркетингом, продуктом и финансами, формируя архитектуру и платформу для регуляторных требований и аналитики продукта.

Qualifications

• 3+ лет опыта в Data Engineering или смежной роли, стартап-окружение приветствуется.
• Практические навыки SQL, Python, PostgreSQL и AWS (EC2/RDS).
• Опыт построения и владения data pipelines и архитектура хранилищ данных.
• Опыт интеграций через API, автоматизация рабочих процессов и контроля версий (GitHub).
• Понимание моделирования данных, качества данных и наблюдаемости пайплайнов.
• Знание GDPR и умение работать с чувствительными данными, автономность и любознательность.
• Свободный английский язык. Желателен опыт с Airflow/Dagster/dbt, IaC, BI-инструменты (Quicksight); немецкий приветствуется.

Responsabilités

• Разработка и сопровождение масштабируемых ETL/ELT пайплайнов с SQL, Python и PostgreSQL.
• Владение и развитие облачной инфраструктуры данных на AWS (EC2/RDS).
• Проектирование и поддержка автоматизированного инвойсинга и финансовых данных.
• Создание пайплайнов интеграции между продуктом, веб-ресурсами, CRM и рекламными платформами.
• Разработка моделей данных и схем хранилища для отчетности и анализа продукта.
• Обеспечение качества данных, мониторинг и alerting; внедрение CI/CD и документации.
• Соблюдение GDPR, управление доступом, псевдонимизация и хранение данных.

Connaissances

SQL

Python

PostgreSQL

AWS

Data pipelines

APIs

GitHub

Data modelling

Data quality

Observability

GDPR

English fluency

Outils

Airflow

Dagster

dbt

Infrastructure as code

AWS Quicksight

Description du poste

Описание: 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.

Задачи

• 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.

Требования

• 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.

Условия

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.