Aktuelle Jobs im Zusammenhang mit Senior Data Engineer - Berlin, Berlin - Parloa Germany
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Senior Data Engineer
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Senior Data Engineer
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Senior Data Engineer
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Senior Data Engineer
vor 1 Woche
Berlin, Berlin, Deutschland Deutsche Bank VollzeitJob Title: Senior Data EngineerAbout the Role:We are seeking a highly skilled Senior Data Engineer to join our team at Deutsche Bank in Berlin. As a Senior Data Engineer, you will be responsible for designing and implementing big data platforms, including ingesting pipelines, big data processing pipelines, and data preparation. You will work on designing...
Senior Data Engineer
vor 4 Monaten
Find all our jobs in English here.
YOUR MISSIONAs a Senior Data Engineer - Data Warehouse/Analytics (f/m/d)*, you will build data marts that power customer-facing data products. As one of the founding members of the data team, your work will have a pivotal impact on the organization. You will empower company-wide stakeholders to work effectively with data by building Parloa's data warehouse from scratch. The data models and data pipelines you build will help to transform the entire customer service industry leveraging data and AI.
IN THIS ROLE YOU WILL:- Design and implement the data pipelines that power our customer-facing analytics product together with your cross-functional team (ingestion and transformation)
- Take ownership of designing, building and improving the data warehouse for Parloa and setting standards and conventions to enable us to scale
- Build and optimize data models for performance, cost and usability
- Lead and execute technical projects end-to-end: understanding user requirements, systems and model design, proof of concept, implementation & scaling, maintenance and support, continuous improvement
- Work closely with stakeholders in Customer Success and Product to define requirements and build data models that serve their needs
Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka (more technologies to be added as we build our data platform)
WHAT YOU BRING TO THE TABLE:- 7+ years of experience as data engineer or analytics engineer, if less: experience with building up data warehouses/data products from ground up
- Strong expertise with data modeling and implementing data pipelines (ingestion and transformation)
- Expert proficiency in SQL, strong proficiency in Python, experience with big data technologies (experience with streaming technologies like Kafka is a plus)
- Experience in working with cloud data platforms
- Track record of building data warehouses and data products in accordance with legal requirements
- Experience implementing data quality and governance frameworks
- Experience in leading medium-sized technical projects (3-9 months roadmap)
- Strong spoken and written communication skills in English
- Be part of a dynamic, driven team of +20 nationalities with flat hierarchies and collaborative company culture.
- Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days.
- Attractive compensation package.
- Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth.
- Flexible working hours, 28 vacation days and workation opportunities.
- Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass.
- Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands.
- Regular team events, game nights, and other social activities.
- And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks.
- Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity.
Your recruiting process at Parloa:
Recruiter video call → Hiring Manager Interview → Challenge → Technical Interview → Meeting the team
WARUM PARLOA?Werde Teil von Parloa und revolutioniere die Kundenkommunikation mit künstlicher Intelligenz Wir sind eine führende "Conversational-AI-Plattform", die mit Branchenriesen sowohl als Partner als auch als Kunden zusammenarbeitet. Unsere Mission ist es, eine umfassende Lösung für Unternehmen weltweit zu schaffen, und wir sind entschlossen, dies zu erreichen, indem wir Menschen und KI zusammenbringen.
2017 wurden wir in Berlin gegründet und sind seitdem zu einem der innovativsten SaaS-Unternehmen auf dem Markt geworden. Durch den Einsatz unserer modernen Conversational-AI-Plattform ermöglichen wir Unternehmen, sinnvolle Gespräche mit ihren Kunden zu führen. Wir setzen uns dafür ein, dies zu erreichen, indem wir erstklassige technische Ingenieurskunst mit innovativem Leadership und der Überzeugung kombinieren, dass jedes einzelne Teammitglied einen massiven Einfluss auf unsere Zukunft haben kann.
Wenn du dich Parloa anschließt, hast du die Möglichkeit, Teil eines dynamischen und innovativen Teams zu sein, das eine ganze Branche revolutioniert. Wir sind leidenschaftlich daran interessiert, gemeinsam zu wachsen und Möglichkeiten für persönliche und berufliche Entwicklung zu schaffen. Mit unserer kürzlich erfolgten Series-A-Investition in Höhe von 20 Millionen US-Dollar expandieren wir global und suchen talentierte Personen, die sich uns auf dieser aufregenden Reise anschließen möchten.
Hast du Fragen zu Parloa, der Rolle oder unserem Team, bevor du dich bewirbst? Bitte zögere nicht, dich mit unserem Hiring Team in Verbindung zu setzen.
Parloa verpflichtet sich, die höchsten Datenschutzstandards für die Daten unserer Kund:innen und Mitarbeiter:innen aufrechtzuerhalten. Alle unsere Mitarbeiter:innen sind entscheidend daran beteiligt, größte Sorgfalt, GDPR und ISO-Konformität, einschließlich ISO 27001, beim Umgang mit sensiblen Informationen sicherzustellen
* Wir bieten allen qualifizierten Bewerber:innen Chancengleichheit, ungeachtet ihrer Hautfarbe, ihres Geschlechts, ihrer sexuellen Orientierung, ihres Alters, ihrer Religion, ihrer nationalen Herkunft, ihres Behindertenstatus, ihres sozioökonomischen Hintergrunds und anderer Merkmale.
