Senior Retail Data Engineer (f/m/x)

Company:
Location: Wien, W

*** Mention DataYoshi when applying ***

Senior Retail Data Engineer (f/m/x)

Our client is an international financial services provider, serving companies and private clients in a wide range of industries in many European countries. To support the existing team, our customer is currently looking for a Senior Retail Data Engineer (f/m/x).

Your qualification for this job is hands-on experience in building up data solutions for advanced analytics using DataOps engineering practice, as well as active experience with cloud concepts, data analytics pipeline and containerization. Your objective is to contribute throughout the entire engagement cycle from design to build, test and deploy specializing in rapid deployment of data pipelines and analytics solutions. You will be working in Customer Intelligence Analytics team where you tackle topics such as Analytical CRM Data Services, Campaign Management Solution, Personalization and Customer 360.


These exciting tasks are waiting for you:

  • Data definition and the mapping from raw data to final data products running on the data lake eco-system
  • Monitor, provision, and maintain the ETL/ELT infrastructure using a combination of ansible, terraform and docker
  • Plan and execute data integration from various sources and technologies within the data lake infrastructure
  • Assemble large, complex data sets to meet functional / non-functional business requirements
  • Develop, construct, test and maintain data architectures
  • Identify ways to improve data reliability, efficiency and quality
  • Elaborate DevOps & Data Ops User stories for sprint planning
  • Manage incidents reported by data providers or data consumers and ensure a continuous data flow

Your experience so far:

  • +3 years’ experience in the field of Data Engineering with Python and PySpark
  • Hands on experience with Elastic MapReduce (ideally on AWS EMR)
  • Ability to work with data sets and develop algorithms to make raw data into data products (SQL to PySpark Scripts Conversion)
  • Advance knowledge of SQL or another query language
  • Hands on Cloud Platform capabilities (AWS)
  • Ability to work with Cloud Data Lakes and storage services
  • Machine learning capabilities
  • Proven ability to troubleshoot and problem solve in complex systems
  • Experience with Jira and Confluence
  • Ability to work in an agile and multinational team environment

What our client offers:

  • Collaboration in a challenging and international environment
  • Flexible working hours
  • Home office in coordination
  • An awesome team
  • A lot of additional benefits in a corporate environment

JobNr.:1986

*** Mention DataYoshi when applying ***

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