Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwirfst du skalierbare Datenmodelle und Datenprodukte, arbeitest an der Verbesserung von Datenpipelines und unterstützt Analytiker und Wissenschaftler bei der Entscheidungsfindung durch qualitativ hochwertige Daten.
Job Technologien
Deine Rolle im Team
- We're looking for an experienced Staff Analytics Engineer to own the design and delivery of scalable data models and data products across our data warehouse, semantic layer, and reporting layer.
- Reporting to the Director of Analytics, you will enable critical decision making across the business, from marketing and product to commercial operations.
- This is a senior individual contributor role with technical leadership responsibilities.
- You will not manage a team initially, but you will set standards and mentor others.
- This role may evolve into a people management position as the team scales.
- Drive the development and expansion of our Data Warehouse and BI solutions, with a focus on simplicity, scalability, and reliability, ensuring they grow sustainably.
- Own and evolve the Analytics Engineering strategy, including architectural decisions, modeling standards, and the long term roadmap.
- Collaborate with Data Analysts, Data Scientists, and backend engineers to deliver trusted, well modeled, analysis-ready datasets.
- Apply software engineering best practices across the analytics codebase, including version control, code reviews, automated testing, lineage, and continuous integration.
- Evaluate, select, and deploy tools and frameworks to strengthen data quality, governance, and reliability.
- Partner closely with business stakeholders to design and scale the semantic layer to support diverse and evolving business needs, enabling and accelerating self service analytics.
- Act as a go to person for Data Analysts and Data Scientists, providing guidance to improve pipelines and remove inefficiencies, redundancies, and technical bottlenecks.
- Mentor and support other team members as the team scales, contributing to capability building, onboarding, and continuous knowledge sharing.
- Bring strategic thinking and innovative ideas to help shape a growing team and deliver meaningful business impact at scale.
Unsere Erwartungen an dich
Qualifikationen
- A unique combination of technical expertise, business acumen, and communication skills, enabling you to persuade and influence data product stakeholders.
- Proficiency with dimensional modeling (star schema) and medallion architecture, with the ability to design and develop curated data marts.
- Strong coding skills in SQL and proficiency in DBT, orchestration tools, and engineering best practices.
- Curiosity, strong problem solving skills, and a proactive, creative mindset.
- Excellent organizational and communication skills, both verbal and written.
Erfahrung
- 5+ years of relevant experience in a comparable role, designing and scaling complex data models for analytics and data science.
- Experience with cloud data warehouses (BigQuery preferred) and semantic layers such as MetricFlow, LookML, Omni, or Cube.
Unser Angebot
- Hybrid position - 2/3 days in the office.
- 1 year fixed-term contract.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Usercentrics GmbH
Usercentrics bietet Lösungen für Datenschutz und Consent-Management, die speziell für Websites, Apps und andere digitale Plattformen entwickelt wurden. Das Unternehmen hilft Organisationen, die Einwilligungen der Nutzer zu erfassen, zu verwalten und zu dokumentieren, um die Anforderungen der DSGVO und CCPA zu erfüllen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Staff Analytics Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
