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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

Apply Now

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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