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Bring! Labs jobs

Senior Data Engineer (m/w/x)

CHF 110’000 - 130’000
Bring! Labs
Räffelstrasse 26, Zurich
CHF 110’000 - 130’000
Taille icon
Taille
50-200
Type d'entreprise icon
Type d'entreprise
Startup
Niveau icon
Niveau
Senior
Type d'emploi icon
Type d'emploi
Plein temps
Langue icon
Langue
Anglaise
Parrainage de visa icon
Parrainage de visa
Non

Exigences

Obligatoire:
We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with substantial experience in Data Engineering. You are the right fit if you have: • Professional experience in Data Engineering using cloud platforms (AWS strongly preferred) • Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture • Strong Software Engineering skills and expertise with data mining and analytics • Knowledge of programming languages (e.g. Scala, Python, Java) • Hands-on experience with SQL database design • Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering • Great numerical, analytical and statistical skills • Business fluent in English, preferably German as well
Agréable d'avoir:
• A degree in Computer and/or Data Science would be an advantage • Experience with Apache Spark and Hadoop is highly desirable • Knowledge of business intelligence tools (e.g. QuickSight, Adverity, Looker) is of advantage

Responsabilités

You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. The role includes the following: • Analyze and organize raw data from millions of active users • Build, maintain and operate data systems and pipelines on AWS • Evaluate business needs and objectives, map them to requirements • Strategically align data architecture with company needs and goals • Detect, investigate and interpret data trends and patterns • Conduct complex data analysis and report on results

Méthodologie

La description


We build the perfect shopping companions! Our vision at Bring! Labs is to simplify daily shopping for people around the world. Our “Bring!” and “Profital” apps are used in millions of households to organize daily shopping, discover new delicious recipes and find the best local deals. We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping. What is in for you? At Bring! Labs, we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally, we provide: • A young and rapidly evolving company that empowers employees to make decisions and actively shape our success • Flexible working hours with the option to work from our offices in Zurich or Basel, as well as partially from home • Regular team and company events in an environment that actively fosters team spirit • Environmentally friendly travel options, including a discounted public transport pass (Halbtax) for your commute • Many cool perks, such as a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much more! We welcome applications regardless of nationality, ethnic background, age, sexual orientation, gender, disability, or family situation. We also encourage applications from individuals returning to the workforce. Interested in more? Visit our career page! We can’t wait to hear from you!

Avantages

job benefits iconSemaine de travail de 42 heures
job benefits iconAssurance d'accident
job benefits icon5 semaines de vacances
job benefits iconChoix du matériel
job benefits iconCafé, thé
job benefits iconLe coaching mentorat
job benefits iconAteliers et partage des connaissances
job benefits iconConférences
job benefits iconBureau cool
job benefits iconRéductions sur les produits de l'entreprise
job benefits iconCotisation retraite supplémentaire
job benefits iconTemps de travail flexible
job benefits iconFruits frais
job benefits iconTravail Hybride
job benefits iconEquipe internationale
job benefits iconTemps partiel possible
job benefits iconTransport public l’abonnement demi-tarif
job benefits iconBureau calme
job benefits iconSnacks et boissons
job benefits iconBureau debout
job benefits iconCulture de démarrage
job benefits iconEvénements d'équipe
job benefits iconBureau bien connecté
job benefits iconRefroidisseur AC
job benefits iconBière
job benefits iconParcours professionnel et bilan annuel
job benefits iconCongé de maternité / paternité
job benefits iconPossibilité sabbatique
job benefits iconBureau Ă  domicile / Ă  distance 2 jours par semaine
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Vous pouvez trouver les statistiques salariales des Ingénieur Data salaires en Suisse.

Combien y a-t-il d'emplois Ingénieur Data dans en Suisse?

Actuellement, il y a 267 Data travaux. Consultez également: Spark offres d'emploi, Snowflake offres d'emploi, Kafka offres d'emploi, Hadoop offres d'emploi - tous avec des échelles de salaire.

Est De la Suisse est un bon endroit pour les Ingénieurs Data?

La Suisse est l'un des meilleurs pays pour travailler comme Ingénieur Data. Il a une communauté de startups dynamique, des hubs technologiques en pleine croissance et, le plus important : de nombreux emplois intéressants pour les personnes qui travaillent dans la technologie.

Quelles entreprises embauchent pour des Ingénieur Data offres d'emploi en Suisse?

GĂĽdel AG, Bring! Labs, Ypsomed AG, Idea Creation GmbH, ERNI Schweiz AG, Helga Digitalagentur GmbH, DPhi Space entre autres, recrutent actuellement pour des postes Data en Suisse.

L'entreprise avec le plus d'ouvertures est Rockstar Recruiting AG car ils embauchent pour 30 différents Ingénieur Data offres d'emploi en Suisse. Ils sont probablement assez déterminés à trouver de bons Ingénieurs Data.