Senior Data Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du skalierbare Datenpipelines mit DBT und Fivetran, arbeitest an ELT-Workflows, modellierst Datenbanken und unterstützt Stakeholder bei der Lösung datenbezogener Herausforderungen. Job Zusammenfassung In dieser Rolle entwickelst du skalierbare Datenpipelines mit DBT und Fivetran, arbeitest an ELT-Workflows, modellierst Datenbanken und unterstützt Stakeholder bei der Lösung datenbezogener Herausforderungen. Deine Rolle im Team We're looking for product-minded engineers to join our diverse and driven team. We really value collaboration, making an impact, and continuous learning. Our product development team is based in Berlin, but we have folks working all over Europe, and you'll work closely with an experienced and supportive team. Our products run on Google Cloud Platform. For our data warehouse, we use DBT on BigQuery, and we automate everything with GitHub Actions. In topi on day to day basis you will be doing: Design, implement, and maintain scalable and efficient data pipelines using DBT, Fivetran, and Metabase. Experience with similar modern data stack technologies is also valued. Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business needs. Develop and maintain ELT workflows to extract, load, and transform data from diverse sources into a centralized cloud data warehouse. Implement and maintain robust dimensional models, staging layers, marts and transformation logic following best practices. Partner with stakeholders to understand data workflows and provide technical support. Monitor, troubleshoot and resolve data-related issues. Build and improve a modern development environment and CI/CD system to ensure scalable and reliable data delivery. Ingest data from various external systems via APIs. Unsere Erwartungen an dich Qualifikationen Data Modeling: proficiency in designing efficient database schemas. Stakeholder Management: you can communicate effectively with stakeholders. Infrastructure: proficiency in Terraform and GitHub Actions (nice-to-have). Collaboration: strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders. Problem-Solving: excellent analytical skills with a keen attention to detail. Great communication skills in English. Erfahrung Technical Skills: strong proficiency in SQL, particularly with DBT or similar frameworks; experience with Python is a plus. Data Warehousing: hands-on experience with cloud-based data warehouses. Unser Angebot Impact from Day One - Your ideas are valued, and you actively shape our direction. No long feedback loops or complex hierarchies - you'll have a direct impact on what you do. Trust - We believe in our mission and in our team, offering trust-based working hours, permanent contracts, flexibility for home-country working. Flexibility - We offer flexible working hour arrangements to ensure a healthy work-life balance. Team Spirit - Shared rituals connect us, whether online or offline. We have regular formats like all-hands meetings, demo sessions, quizzes, and offsites - perfect opportunities to spend time as a team. Personal Growth - Learn from experienced colleagues and leverage the latest technologies and methodologies to succeed in your role. Themen mit denen du dich im Job beschäftigst Cloud Computing AI Metadaten Level: Senior Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Banken, Finanz, Versicherung Ort: Berlin | Deutschland

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