Data Engineer R&D (All Genders)

Location: 

Wroclaw, PL, 50-086

Job Requisition ID:  28769

 

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities. 

 

Your Key Responsibilities

 

  • Develop, monitor and govern solutions for large-scale data architectures and applications 
  • Administration and ongoing automation of numerous operational processes based on DevOps / DataOps technologies such as GitHub, Jenkins and relevant cloud services
  • Select, manage, work hands-on with Big Data tools and frameworks and implement ETL processes as well as data virtualization and federation services
  • Define, implement and apply data governance policies for all data flows of data architectures with focus on the company`s Data Lake
  • Engineer reusable data products using a graph-based data model
  • Member of the agile product team providing customer solutions and support operational tasks in a hands-on manner
  • Take responsibility for services developed personally and by peers as well as providing feedback based upon which the other parties can enhance and ensure quality of their deliverables

 

Your Qualifications

 

  • University degree in (business) informatics or alternative training with relevant professional experience in this field
  • Knowledge in working with Cloud environments and services, preferably with Microsoft Azure
  • Deep knowledge of the programming languages Python, and infrastructure as code languages like PowerShell, Bash, Terraform
  • Experienced in DevOps / DataOps (CI/CD with GitHub or Jenkins)
  • First experience with integration of data from multiple data sources and IT systems
  • Knowledge of ETL techniques and frameworks, such as Microsoft Azure Synapse (Apache Spark), Microsoft Azure Data Factory, and Informatica PowerCenter a plus
  • Experience in creating business intelligence solutions is an advantage, preferably in Microsoft Power BI
  • Experienced in data modeling (ER, UML) and proficiency in SQL as well as expertise with relational databases such as Microsoft SQL Server and Oracle Postgres
  • Experience with graph-based databases and semantic web technologies an advantage
  • Fluent in English spoken and written, German is also beneficial
  • At ease interacting with people within and outside of the organization as well strong hands-on attitude combined with good analytical skills

Our Offer

 

  • Opportunity to be a part of a global company & international team with a diverse variety of backgrounds, skills and view
  • Care for people is one of our essentials. We care about you, so we do our best to build an environment in which you would like to stay for longe
  • Grow with us! Access to training platforms, internal & external trainings, supporting experts and the real-life challenges, where you will put all this theory in practice, allows you to build up your hard & soft skill
  • Flexibility, which works best for you - fully remote or in a hybrid mod
  • Modern office in the center of Wroclaw – great place to work & meet with the colleagues
  • Package of benefits including medical care and mental comfort program

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

 

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

 

www.schaeffler.com/careers

 

Your contact

Recruitment Team 

OR-WRO-Candidates@schaeffler.com 

 

 

Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization & Information Technology; 


Job Segment: R&D Engineer, R&D, Data Modeler, Aerospace Engineering, Database, Engineering, Research, Data, Technology