
Data Engineer
1 week ago
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
- Select, manage, work hands-on with Big Data tools and frameworks, and implement ETL processes
- Engineer reusable data products using a graph-based data model
- Administration and ongoing automation of numerous operational processes based on DevOps / DataOps technologies such as Azure DevOps, GitHub Actions, Jenkins, and relevant cloud services
- 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 of working with Cloud environments and services, preferably with Microsoft Azure or AWS
- Deep knowledge of the programming languages Python and the Apache Spark framework (PySpark).
- Knowledge of ETL techniques and frameworks, such as Microsoft Azure Synapse, Microsoft Fabric, and Microsoft Azure Data Factory; knowledge in streaming and time series processing a plus
- Experience with integration of data from multiple data sources and IT systems
- Experienced in DevOps / DataOps, i.e. infrastructure as code languages like PowerShell, Bash, Terraform, Ansible (CI/CD with Azure DevOps, GitHub Actions, or Jenkins)
- 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, or Postgres
- Experience with GenAI approaches an advantage
- 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 as a strong hands-on attitude combined with good analytical skills
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.
Your Contact
Schaeffler Romania S.R.L.
Mihai-Alexandru Toma
Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization & Information Technology;
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