LP
Data Engineer (m/w/d)
Lorenz Personal GmbH & Co. KG
Rückersdorf · On-site Mid Level 2w ago
About the role
About
Lorenz Personal GmbH & Co. KG is seeking a Data Engineer (m/f/d) for their client, an internationally leading manufacturer of high-performance ceramics. With over 3,500 employees and global solutions for automotive and mechanical engineering, medical technology, electronics, aerospace, and energy and environmental technology.
Job Details
- Location: Rückersdorf/Mittelfranken
- Employment Type: Full-time, Permanent
- Employer: Lorenz Personal GmbH & Co. KG
Responsibilities
- Development, operation, and optimization of scalable data pipelines from on-premises systems to modern cloud architectures
- Implementation of data solutions based on Microsoft Azure, Databricks, and dbt
- Conception and implementation of Infrastructure-as-Code solutions (e.g., Terraform)
- Ensuring security, compliance, and governance requirements
- Analysis and optimization of existing data pipelines regarding performance, resource utilization, and costs
- Close collaboration with business units, IT, and production for the further development of the data platform
- Support in the implementation of analytics, automation, and AI use cases
Requirements
- Completed degree in (Business) Informatics, Engineering, Data Science, or a comparable field
- Several years of professional experience in Data Engineering
- Sound knowledge of Microsoft Azure and Databricks
- Experience in the development and operation of data pipelines
- Knowledge of dbt and Infrastructure as Code (e.g., Terraform) is an advantage
- Ideally, relevant certifications (e.g., Azure Data Engineer, Databricks Certified)
- Structured and independent working style
- Teamwork and communication skills
Desired Skills & Knowledge
- Security
- SQL
- Azure
- Electronics
- Compliance
- IT
- Company canteen
- Cloud
- Medical technology
- Informatics
- Production
- Mechanical engineering
- Optimization
- Environmental technology
- Business informatics
- Energy
- Engineering
- Responsible working style
- Team spirit
- Communication skills
We Offer
- Flat hierarchies and collaboration in interdisciplinary and intercultural teams
- Partnership-based working atmosphere, employee events, and company canteen
- Company pension scheme and health programs (cooperations with fitness studios, football tournaments, company runs, etc.)
- Individual support for professional and personal development
Profile
Technical Requirements:
- Architecture
- Automation
- Cloud Computing
- Compliance
- Data Analysis
- Data Science
- Databricks
- Governance
- Informatics
- Information Engineering
- Engineering
- Artificial Intelligence
- Microsoft Azure
- Terraform
- Business Informatics
Personal Skills:
- Communication
- Teamwork
- Responsibility
Education:
- Bachelor's degree
Experience:
- Professional experience required
Application
Company Information
- Industry: Employment Agency
- Employer: Lorenz Personal GmbH & Co. KG
- Address: Lorenz Personal GmbH & Co. KG Dr.-Kurt-Schumacher-Str. 90402 Nürnberg
- Website: http://www.lorenz-informatik.de
Requirements
- Mehrjährige Berufserfahrung im Bereich Data Engineering
- Fundierte Kenntnisse in Microsoft Azure und Databricks
- Erfahrung in der Entwicklung und dem Betrieb von Datenpipelines
- Kenntnisse in dbt sowie Infrastructure as Code (z. B. Terraform) von Vorteil
- Strukturierte und eigenverantwortliche Arbeitsweise
- Teamfähigkeit und Kommunikationsstärke
Responsibilities
- Entwicklung, Betrieb und Optimierung skalierbarer Datenpipelines von On-Premises-Systemen bis hin zu modernen Cloud-Architekturen
- Umsetzung von Datenlösungen auf Basis von Microsoft Azure, Databricks und dbt
- Konzeption und Implementierung von Infrastructure-as-Code-Lösungen (z. B. Terraform)
- Sicherstellung von Security-, Compliance- und Governance-Anforderungen
- Analyse und Optimierung bestehender Datenpipelines hinsichtlich Performance, Ressourceneinsatz und Kosten
- Enge Zusammenarbeit mit Fachbereichen, IT und Produktion zur Weiterentwicklung der Datenplattform
- Unterstützung bei der Umsetzung von Analytics-, Automatisierungs- und KI-Anwendungsfällen
Benefits
Betriebliche AltersvorsorgeMitarbeiter-EventsGesundheitsprogramme
Skills
AzureDatabricksdbtGovernanceInfrastructure as CodeKIMicrosoft AzureSQLTerraform
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