Job
- Level
- Lead
- Job Field
- BI, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you drive the technical direction of the data platform, evolve the infrastructure, and lead a team of engineers to make significant architecture decisions.
Job Technologies
Your role in the team
- Führen Sie die technische Ausrichtung unserer Datenplattform - treffen Sie Architekturentscheidungen, planen Sie die Abläufe und sorgen Sie für die Umsetzung in Zusammenarbeit mit den Stakeholdern aus Engineering, Produkt und Design.
- 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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 (including one floating holiday), plus pro-rata fully paid Fridays off during August.
- Support - we offer a company pension scheme.
- Volunteers Day - you'll get one day off per year for supporting a social project.
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Topics You Will Work On
Job Locations
About Your Employer
Staffbase GmbH
Founded in 2014, Staffbase GmbH is an innovative company that develops internal communication solutions, helping organizations connect their employees.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Staff Engineer, Data & Analytics
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
