Data engineer

Entyre; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Monthly mobility budget

Hybrid work model

Office near Ostbahnhof

Job summary

Entyre ищет опытного Senior Data Engineer в Берлине для владения и масштабирования современной data-платформы. Вы будете проектировать, строить и эксплуатировать конвейеры данных, архитектуру data warehouse/lakehouse, поддерживать надежность данных и работать с командами Product, Operations и Engineering.

Кандидат должен иметь сильный опыт Python/SQL, знакомство с облачными платформами и современными хранилищами данных, а также владение английским языком.

Qualifications

• Опыт Data Engineer в быстрой среде данных.
• Сильное владение Python и SQL.
• Опыт работы с облачными платформами и современными хранилищами данных.
• Свободный английский язык.

Responsibilities

• Проектирование, построение и обслуживание масштабируемых пакетных и потоковых датопотоков между источниками и системами.
• Разработка и эволюция архитектуры хранилища данных (data warehouse/lakehouse) с фокусом на производительность и масштабируемость.
• Реализация мониторинга, валидации и наблюдаемости для обеспечения достоверности данных.
• Сотрудничество с командами продукта, операций и инженерии для поддержки самообслуживаемой аналитики.

Skills

Data engineering passion

Fast-paced environments

Fluency in English

Tools

Python

SQL

Fivetran

BigQuery

Dataform

Sigma

GA4

AWS

GCP

Azure

Snowflake

Redshift

Kafka

Job description

Описание:

Entyre, part of the Entyre Group, is one of the fastest-growing health tech scale-ups in Switzerland and the United States. With 500+ employees globally and offices in Zurich, Berlin, Boston, Chicago, Detroit, Arlington, and Columbus, we are scaling rapidly. For our Berlin tech hub, we are looking for a Senior Data Engineer (m/f/d) who wants to take real ownership in building and scaling a modern data platform. This role is focused on designing, building, and operating the company’s data platform, data infrastructure, and data reliability systems.

Задачи:

• Design, build, and maintain scalable batch and real-time data pipelines across multiple sources and systems
• Develop and evolve our data warehouse/lakehouse architecture with a focus on performance, scalability, and reliability
• Implement monitoring, validation, and observability solutions to ensure trustworthy data across the organization
• Work closely with Product, Operations, and Engineering teams to design and maintain scalable data infrastructure that enables self-service reporting.
• Take end-to-end responsibility for data initiatives, from design and implementation to production rollout and ongoing optimization
• Improve data processing efficiency, query performance, and cost-effectiveness across the platform

Требования:

• You are passionate about data engineering and solving complex technical data problems
• You have solid experience as a Data Engineer in fast-paced, data-driven environments
• You have strong hands-on experience with Python and SQL
• You have experience with tools such as Fivetran, BigQuery, Dataform, Sigma, GA4
• You have worked with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (e.g., Snowflake, BigQuery, Redshift)
• You understand data modeling, ETL/ELT patterns, and building scalable data systems
• Fluency in English is required
• Будет плюсом: Experience with streaming technologies (e.g., Kafka) is a plus; German is a plus

Условия:

• Key responsibility in a small, experienced engineering team
• Modern office next to S Ostbahnhof, with up to 3 days of work from home per week
• Monthly mobility budget for public transport, bike, or shared mobility
• Strong team culture with regular events, drinks, and snacks in the office
• Opportunity to shape a modern cloud-based data platform in a fast-scaling health tech environment