Job
- Level
- Lead
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Dresden
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle gestaltest du die technische Richtung unserer Datenplattform, entwickelst und unterstützt ein Team von Ingenieuren, implementierst Streaming-Technologien und verbesserst die Datenmodellierung sowie die Dateninfrastruktur.
Job Technologien
Deine Rolle im Team
- Drive the technical direction of our data platform - leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders.
- Support and develop a team of 4-5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.
- Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance - building a solid base for AI and analytics features.
- Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing.
- Apply and advance strong data modeling practices across the platform.
- Prioritize and mediate effectively with product stakeholders - advocating for the right technical decisions and sequencing of work.
- Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership.
- Collaborate across the broader staff engineering community on cross-cutting architectural decisions.
Unsere Erwartungen an dich
Qualifikationen
- Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.
- Solid data modeling skills and the ability to raise this as a team-wide standard.
- Python proficiency and comfortable working across a modern data stack.
- Strong stakeholder management and communication skills - you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams.
- A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.
Erfahrung
- Proven experience at Staff Engineer level or equivalent in a data engineering context.
- Experience with streaming technologies (e.g. Kafka) - hands-on exposure is a strong plus.
- Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.
- Leadership experience or ambition: you are comfortable guiding engineers and driving delivery.
Unser Angebot
- Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan).
- Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560.
- Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August.
- Support - we offer offering a company pension scheme.
- Volunteers Day - you'll get one day off per year for supporting a social project.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Staffbase GmbH
Staffbase GmbH, gegründet 2014, ist ein innovatives Unternehmen, das interne Kommunikationslösungen entwickelt und Unternehmen dabei unterstützt, ihre Mitarbeiter zu vernetzen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Staff Engineer, Data & Analytics
- Ort
- Dresden
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
