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3.061

Machine Learning jobs in United States

Senior Data Engineer (f/m/x)

Senior Data Engineer (f/m/x)
Netconomy GmbH
Germany
EUR 60,000 - 80,000
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Lead Data Science Researcher

Lead Data Science Researcher
Top Remote Talent
Leipzig
EUR 70,000 - 100,000

Senior Enterprise Account Executive - Acquisition

Senior Enterprise Account Executive - Acquisition
Udacity
Germany
Remote
EUR 70,000 - 100,000

Senior Data Scientist mit Schwerpunkt Ökonometrie/ Predictive Analytics (gn*)

Senior Data Scientist mit Schwerpunkt Ökonometrie/ Predictive Analytics (gn*)
ZipRecruiter
Coesfeld
EUR 60,000 - 90,000

Consultant Project Manager (f/m/d) AI Solutions

Consultant Project Manager (f/m/d) AI Solutions
STATWORX GmbH
Frankfurt
EUR 70,000 - 90,000
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SEA Manager (m/f/d)

SEA Manager (m/f/d)
Compado
Berlin
EUR 60,000 - 80,000

Senior Banking and Brokerage API Developer - Berlin

Senior Banking and Brokerage API Developer - Berlin
wealthAPI GmbH
Berlin
Confidential

Data Scientist Optical Spectroscopy (w / m / d) - Datenbankentwicklung / BI, Ingenieur

Data Scientist Optical Spectroscopy (w / m / d) - Datenbankentwicklung / BI, Ingenieur
Endress+Hauser
Jena
EUR 50,000 - 80,000
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Director of Sales (Pharma Digital Factory)

Director of Sales (Pharma Digital Factory)
Supply Chain Wizard
Berlin
EUR 80,000 - 120,000

Duales Studium Data Science (M.Sc.) (m/w/d)

Duales Studium Data Science (M.Sc.) (m/w/d)
JR Germany
Kiel
EUR 40,000 - 80,000

MLOps Engineer

MLOps Engineer
Cognigy
Düsseldorf
EUR 60,000 - 100,000

AI Engineer Fokus Large Language Models (w/m/d)

AI Engineer Fokus Large Language Models (w/m/d)
PwC
Germany
EUR 60,000 - 100,000

Software Developer (m/w/d)

Software Developer (m/w/d)
isento GmbH
Nürnberg
Confidential

Technical Support Engineer, Amazon Robotics

Technical Support Engineer, Amazon Robotics
Amazon Development Center Germany GmbH
Berlin
EUR 45,000 - 80,000

Lead Data Science Researcher

Lead Data Science Researcher
Top Remote Talent
Stuttgart
EUR 60,000 - 100,000

Technical Support Engineer Amazon Robotics

Technical Support Engineer Amazon Robotics
Amazon
Berlin
EUR 50,000 - 80,000

Principal Software-Engineer Data Intelligence in der Innovationseinheit Schmiede (w / m / d)

Principal Software-Engineer Data Intelligence in der Innovationseinheit Schmiede (w / m / d)
BWI GmbH
Essen
EUR 60,000 - 100,000

Duales Studium - B. Eng. Elektro- und Informationstechnik an der Hochschule München (Machine Le[...]

Duales Studium - B. Eng. Elektro- und Informationstechnik an der Hochschule München (Machine Le[...]
JR Germany
Neubiberg
EUR 40,000 - 60,000

Lead Data Science Researcher

Lead Data Science Researcher
Top Remote Talent
Essen
Remote
EUR 60,000 - 100,000

Oliver Wyman - Data & Analytics Consulting - Analyst (m/d/f) - Berlin

Oliver Wyman - Data & Analytics Consulting - Analyst (m/d/f) - Berlin
Marsh McLennan Companies
Hamburg
EUR 60,000 - 100,000

(Senior) Technology-Consultant (w/m/d) - Fokus: SAP BTP und AI

(Senior) Technology-Consultant (w/m/d) - Fokus: SAP BTP und AI
SAP
Germany
EUR 60,000 - 100,000

(Senior) AI Engineer

(Senior) AI Engineer
Nelly Solutions
Germany
EUR 60,000 - 100,000

Young Professional Prozessmanager (m/w/d)

Young Professional Prozessmanager (m/w/d)
Talentschmiede Unternehmensberatung AG
Frankfurt
EUR 40,000 - 70,000

Lead Data Science Researcher

Lead Data Science Researcher
Top Remote Talent
Düsseldorf
Remote
EUR 60,000 - 100,000

Senior AI/ML Software Engineer (m/f/d)

Senior AI/ML Software Engineer (m/f/d)
Conductor
Berlin
EUR 60,000 - 100,000

Senior Data Engineer (f/m/x)

Netconomy GmbH
Germany
EUR 60.000 - 80.000
Job description

In den letzten 20 Jahren ist NETCONOMY von einem Startup zu einem 500-köpfigen Team herangewachsen, welches an 10 Standorten in Europa zusammenarbeitet. Agilität und interdisziplinäre Zusammenarbeit sind Grundpfeiler unserer Arbeitskultur. In einem kreativen Miteinander erschaffen Menschen mit vielfältigen Hintergründen einzigartige digitale Lösungen.

DEINE AUFGABEN

Als Data Engineer mit einem Fokus auf Databricks übernimmst du eine zentrale Rolle bei der Entwicklung moderner, skalierbarer und leistungsstarker Datenlösungen für unsere Kunden. In diesem Job wirst du Teil unseres wachsenden Data & AI Teams und arbeitest hands-on mit der Databricks Plattform um unseren Kunden dabei zu helfen komplexe Herausforderungen rund um das Thema Daten zu lösen.

Dein Aufgabenbereich beinhaltet:

  • Design, Entwicklung und Wartung robuster Datenpipelines mit Databricks, Spark und Python
  • Aufbau effizienter und skalierbarer ETL-Prozesse zum Einlesen, Transformieren und Laden von Daten aus verschiedenen Quellen (Datenbanken, APIs, Streaming-Plattformen) in cloudbasierte Data Lakes und Data Warehouses
  • Nutzung des Databricks Ökosystems (SQL, Delta Lake, Workflows, Unity Catalog) zur Bereitstellung zuverlässiger und performanter Daten-Workflows
  • Integration mit Cloud-Diensten wie Azure, AWS oder GCP zur Ermöglichung sicherer und kosteneffizienter Datenlösungen
  • Mitgestaltung der Datenmodellierung und -architektur zur Gewährleistung von Konsistenz, Zugänglichkeit und langfristiger Wartbarkeit der Datenlandschaft
  • Gewährleistung der Datenqualität durch Validierungsprozesse und Einhaltung von Data-Governance-Richtlinien
  • Zusammenarbeit mit Data Scientists und Analysten, um Datenbedürfnisse zu verstehen und umsetzbare Lösungen zu liefern
  • Kontinuierliche Weiterbildung in den Bereichen Databricks, Data Engineering und Cloud-Technologien zur Optimierung unserer Tools und Prozesse
YOUR SKILLS

Essential Skills:
  • 3+ years of hands-on experience as a Data Engineer working with Databricks and Apache Spark
  • Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL)
  • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables
  • Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems
  • Proven experience with at least one major cloud platform (Azure, AWS, or GCP)
  • Excellent SQL skills for data querying, transformation, and analysis
  • Excellent communication and collaboration skills in English and German (min. B2 levels)
  • Ability to work independently as well as part of a team in an agile environment
Beneficial Skills:
  • Understanding of data governance, data quality, and compliance best practices
  • Experience with working in multi-cloud environments
  • Familiarity with DevOps, Infrastructure-as-Code (e.g., Terraform), and CI/CD pipelines
  • Interest or experience with machine learning or AI technologies
  • Experience with data visualization tools such as Power BI or Looker
OUR OFFER

While we're one company, each location has unique aspects and benefits. Here's a glimpse of what to expect:
  • Flexible Working Models: Early bird or night owl? Thanks to our flexible working models, you start your work day when and where it fits you best. Plus, our hybrid work option lets you choose whether you prefer working more from the office or from home.
  • Career Development & Onboarding: Start your journey in NETCONOMY with a structured onboarding and mentoring phase and continue with individual training opportunities. Our Learning & Development team will support you in finding the best solution for you!
  • Company Summit: Exchange professional and personal experiences at our annual in-house conference! One of the highlights of our company Summit is the vibrant networking environment it cultivates.
  • Social Events: Join your colleagues and build new connections at our social events like pizza & games evenings, hiking, and Christmas party, and celebrate milestones together. It's on us!
  • Snacks and Wellbeing: Fuel your productivity and taste buds with our monthly meal allowance and discounts at partner restaurants.
  • Mobility Support: Choose eco friendly transportation! As we take our responsibility for the environment seriously, we support your climate-friendly transportation costs.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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