Senior Data Engineer
2 weeks ago
Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden gehören primär DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir übernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen Lösungen, um so unsere Kunden in KI-gestützte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine überdurchschnittliche Vergütung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg und unseren Hub-Standorten in allen deutschen Großstädten (München, Berlin, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind.
Als Teil unseres Data Science Teams arbeitest Du an kundenspezifischen Lösungen:
- Du verantwortest die Entwicklung von Schnittstellen zu bestehenden Datenquellen (SQL, File, API etc.)
- Die Entwicklung von Datenaufbereitungs-, Aggregations- und Bereinigungspipelines (ETL) gehört ebenfalls zu Deinen Aufgaben
- Die Dokumentation von Datenstrukturen in einem Data Dictionary ist für Dich selbstverständlich
- Sowie die Speicherung der Daten in einem zentralen Datenspeicher (SQL, No-SQL, Hadoop etc.)
- Du entwickelst RESTful API Services unter Verwendung etablierter Frameworks und Standards (Flask, Swagger)
- Du übernimmst das Schreiben von automatisierten Tests und Dokumentationen, als auch die Implementierung von CI/CD Pipelines
- Du sorgst für den Einsatz in verschiedenen Cloud-Umgebungen, meist auf Basis von Containertechnologien (Docker, Kubernetes, OpenShift) oder nativen Cloud-Services (z.B. serverless)
- Du verfügst über mindestens 3-5 Jahre Erfahrung in der Softwareentwicklung im industriellen Umfeld und hast Lust auf die nächste große Herausforderung
- Fundierte Kenntnisse von Python, einschließlich datenwissenschaftlich relevanter Bibliotheken, setzen wir voraus
- Kenntnisse in Java, Scala oder Kotlin, sowie Machine Learning sind von Vorteil
- Du bringst Erfahrung mit SQL (Postgres, MySQL, Oracle) sowie No-SQL (Mongo DB) Datenbanken mit
- Mit Big Data Technologien - insbesondere im Hadoop-Ökosystem, kennst Du dich bestens aus
- Du hast bereits Erfahrung mit Containertechnologien und Micro-Services, sowie mit Cloud-Technologien (AWS, Azure, GCP) sammeln können
- Du arbeitest gerne im Team und kommunizierst auf Deutsch (mindestens B2) und Englisch
- Du bringst eine hohe Ergebnis- und Kundenorientierung mit und bist bereit projektbedingt zu reisen
- Bei uns findest Du eine abwechslungsreiche Tätigkeit im KI-Umfeld
- Flexible Arbeitszeiten und -orte wie Home-Office sind für uns selbstverständlich
- Duz-Kultur, kurze Kommunikationswege und viele tolle, erfahrene, internationale Kollegen, die Dir jederzeit zur Seite stehen
- Unternehmensweite, internationale Events, die sich sehen lassen können
- Company Bike und Bezuschussung Deiner Fitnessmitgliedschaft (EGYM Wellpass)
- Gezielte und individuelle Trainings für Deine fachliche und persönliche Weiterentwicklung
- Eine zentrale Lage in Hamburgs Innenstadt mit guter Verkehrsanbindung (Bus & Bahn), sowie Hub-Standorte in allen deutschen Großstädten
- Täglich frisches Obst, guten Kaffee, Snacks, Softdrinks & Feierabendbier
Marie Enkelmann – –
Unsere oberste Priorität ist, dass Du zu uns passt und wir zu Dir, unabhängig von Herkunft, Nationalität, sexueller Orientierung, Religion, Geschlechtsidentität, Alter, Handicap oder anderen Aspekten der Vielfalt.
Bewerbe Dich gerne über unser Unternehmensportal mit Deinem CV und / oder Deinem aktualisierten Xing bzw. LinkedIn Profil.
Interessiert es dich, was unsere Mitarbeitenden und andere Bewerber/innen über uns sagen? Besuche uns auf Kununu und folge uns auf Social Media, um die aktuellsten News über uns nicht zu verpassen.
Eraneos Germany als Arbeitgeber: Gehalt, Karriere, Benefits )
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