2018-06-08 Create and maintain optimal data pipeline architecture; Assemble large, complex data sets that meet functional/non-functional use-cases requirements

Data Engineer (m/f)

Dienstort Wien Wien Unternehmen Siemens Personaldienstleistungen GmbH
Arbeitgeber entdecken
Beschäftigungsart Vollzeit Position ohne Personalverantwortung Gehaltsangabe 44.408,00 € /brutto Jetzt online bewerben



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Data Engineer (m/f)


Data Engineer (m/f)

Job-ID: 2770
Job Familie: IT,Technische Berufe
Ort: Wien
Organisation: Siemens Personaldienstleistungen GmbH
Art der Anstellung: Vollzeit
Siemens Personaldienstleistungen GmbH (SPDL) is one of Austria´s leading temporary employment companies. We are guided by our core values responsibility, sustainability and faire conditions. As subsidiary of Siemens AG Österreich we, our customers, as well as our employees benefit from the unique know-how and job perspectives of innovative branches like Energy Management, Mobility, Digital Factory, Building Technology or Health Care.
Currently our customer is looking for a Data Engineer (m/f)  in Vienna.

What are my tasks and responsibilities?

  • 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.

What skills do I need to qualify for this position?

  • 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 should I further know?

Depending on education and experience an annual gross salary of at least EUR 44.408,- is offered (including basic salary according to Austrian collective agreement regulations). The final salary will be agreed in an individual meeting.
As a big international corporation we offer you interesting professional perspectives and development options as well as flexible working arrangements and further social benefits.

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