2018-08-03 Create and maintain optimal data pipeline architecture.; Assemble large, complex data sets that meet functional/non-functional use-cases requirements

Data Engineer (m/w) (SB)

Dienstort Wien Wien Unternehmen Siemens AG Österreich
Arbeitgeber entdecken
Beschäftigungsart Vollzeit Position ohne Personalverantwortung Gehaltsangabe 44.800,00 € /brutto Jetzt online bewerben



zurück zur Übersicht
Events, Ausflüge

zurück zur Übersicht
Bonuszahlungen / Aktienbeteiligungen

zurück zur Übersicht

zurück zur Übersicht

zurück zur Übersicht
Diplomarbeiten / Dissertationen

Betreuung von Dissertationen, Master- und Diplomarbeiten.

zurück zur Übersicht

zurück zur Übersicht
Kinderbetreuung / Betriebskindergarten

zurück zur Übersicht

zurück zur Übersicht
Betriebsarzt / Gesundheitsförderung

zurück zur Übersicht
Essensmarke / Kantine

MitarbeiterInnen-Restaurant mit günstigen Preisen und vielfältigem Speiseangebot oder alternativ Essenszulage bei kleineren Standorten.

zurück zur Übersicht
Flexible Arbeitszeiten

zurück zur Übersicht

Data Engineer (m/w) (SB)

Siemens AG Österreich am 16.01.2019 in Wien

Job-ID: 68371-ST
Ort: Wien
Art der Anstellung: Vollzeit

Data Engineer (m/w) (SB)

We electrify, automate and digitalize
Our employees make real what matters.

The Digital Factory Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products – be it the automotive or aerospace industry, mechanical engineering or other interesting sectors. 

Join our team now in the Digital Factory Division as Data Engineer (m/f) in Vienna.

Your new role – challenging and future-oriented

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional/non-functional use-cases requirements
  • Build the infrastructure and procedures required for optimal Extraction, Transformation, and Loading (ETL) of data from a wide variety of data sources.
  • Build the data pipelines that support the data analytics aiming to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work alongside Data Scientists to productionalize advanced computer science algorithms based on statistical and machine learning models.
  • Work with stakeholders including the Executive, Sales, and Data Science teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data access compliant with GDPR regulations within the company boundaries and the AWS data center.
  • Design and implement data access restriction policies for the different stakeholders and company functions.
  • Identify, design, and implement optimal data processing technologies and tools to strive for greater data lab functionality.

Your profile    

  • A Graduate degree in Computer Science, Informatics, Information Systems or equivalent quantitative field.
  • Advanced working SQL knowledge and experience working with and designing relational databases, optimized query authoring, as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Ability to build processes supporting data transformation and cleaning, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Ability to assist in documenting requirements, as well as resolve conflicts or ambiguities.
  • Strong analytic skills related to working with heterogeneous datasets.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Strong project management and organizational skills.

We are looking for a candidate with 3+ years of experience in a Data Engineer role. He/she should also have experience using the following software/tools:

  • Relational and NoSQL databases, including Postgres and Redshift.
  • AWS cloud services: EC2, EMR, RDS, Redshift.
  • Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Big data tools (Hadoop, Spark, etc.) and good understanding of ML/AI models requirements.
  • Dynamic data visualization solutions.

What else do I need to know?

The gross annual payment for this job vacancy is minimum EUR 44.800,-- on a fulltime basis. An overpayment is possible depending on education and experience. Siemens as an international company offers additional social benefits.

How do I apply?

We are looking forward for your online application!

Jetzt bewerben

Jobempfehlung senden
Folgenden Job empfehlen:
Data Engineer (m/w) (SB)

Möchten Sie sich anmelden?

Um Ihre Merkliste dauerhaft zu speichern, melden Sie sich bitte mit Ihrem Benutzerkonto an.

Falls Sie noch kein Benutzerkonto besitzen, können Sie sich kostenlos registrieren.

Ohne Anmeldung fortfahren Anmelden