Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du komplexe Datenpipelines, verwandelst geschäftliche Anforderungen in umsetzbare Daten und entwickelst Berichte, um das Team bei Analysen und Experimenten zu unterstützen.
Job Technologien
Deine Rolle im Team
- The role is focused on the business needs - you'll be working within a cross-functional team, making sure your teammates get the insights needed for their operations.
- The role requires interpreting the needs and requests of our internal stakeholders from business and product, and transforming them into actionable data.
- Data scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant experiments, a/b tests, and analyses.
- Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data.
- Working on our centrally maintained data integrations and data pipelines powering our Data Warehouse, our data models, and dashboards.
- Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.
- Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.
- Increase data literacy across the domain and expertise through hands-on training and documentation.
- Lead, mentor, and guide more junior team members.
Unsere Erwartungen an dich
Qualifikationen
- Advanced SQL skills and ability to write optimized queries for large data sets.
Erfahrung
- 5+ years of experience working as an Analytics Engineer or BI Developer.
- Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards.
- Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models.
Unser Angebot
- The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills.
- Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.
- You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm.
- You have the chance to decide the ways of working - a hybrid, at the office, or remote within the location above.
- You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Wolt Enterprises Deutschland GmbH
Wolt Enterprises Deutschland GmbH zählt zu den führenden Lieferplattformen in Deutschland und verbindet über eine App Kunden mit Restaurants, Lebensmittelgeschäften und lokalen Händlern. Das Unternehmen ist in 16 Städten tätig und setzt seine Expansion fort, nachdem es 2022 Teil von DoorDash wurde. Der Hauptsitz ist in Berlin ansässig.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Nahrungs-, Genussmittel
Senior Analytics Engineer
- Ort
- Berlin
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
