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Data Engineer (m/w/d)

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity

AI generated summary

  • You need a degree in Computer Science or Math, extensive Data Engineering experience, strong SQL and Python skills, and familiarity with cloud technologies. Fluent German is essential.
  • You will develop and optimize ETL/ELT pipelines, implement Azure data solutions, design data models, ensure data quality, and collaborate with Data Scientists and Analysts for high-quality data delivery.

Requirements

  • Studium der Informatik, Mathematik oder vergleichbare Qualifikation
  • Mehrjährige Erfahrung im Bereich Data Engineering
  • Fundierte Kenntnisse in SQL und Python
  • Erfahrung mit Cloud-Technologien wie Azure Data Factory, AWS oder Google BigQuery
  • Kenntnisse in Infrastructure-as-Code (Terraform, CloudFormation) sind ein Plus
  • Verhandlungssichere Deutschkenntnisse

Responsibilities

  • Entwicklung und Optimierung von ETL-/ELT-Pipelines für große Datenmengen
  • Implementierung von Data-Lake- und Data-Warehouse-Lösungen in Azure
  • Gestaltung und Optimierung von Datenmodellen für Analytics und Machine Learning
  • Sicherstellung der Datenqualität und Performance durch moderne Engineering-Methoden
  • Zusammenarbeit mit Data Scientists und Analysten zur Bereitstellung von hochwertigen Daten

FAQs

What is the main responsibility of a Data Engineer in this role?

The main responsibility is to develop and optimize ETL/ELT pipelines for large data volumes and to implement Data-Lake and Data-Warehouse solutions in Azure.

What kind of technologies will I be working with?

You will be working with Big Data technologies and modern cloud platforms like Azure, AWS, or Google BigQuery.

Is prior experience required for this position?

Yes, several years of experience in Data Engineering is required for this position.

What qualifications are necessary for this job?

A degree in Computer Science, Mathematics, or a comparable qualification is necessary.

Are there opportunities for professional development?

Yes, there are attractive training budgets available for professional development.

What language skills are required for this position?

Verhandlungssichere Deutschkenntnisse (fluent German skills) are required for this position.

What kind of team environment will I be working in?

You will be working in an agile team environment, collaborating with Data Scientists and Analysts to provide high-quality data.

Are there flexible working arrangements?

Yes, there are flexible working hours, home office options, and the possibility of workation.

Will I be involved in ensuring data quality?

Yes, ensuring data quality and performance through modern engineering methods is a key responsibility in this role.

What tools or technologies are considered a plus for this position?

Knowledge of Infrastructure-as-Code tools like Terraform or CloudFormation is considered a plus.

Human Resources
Industry
5001-10,000
Employees

Mission & Purpose

Welcome to the Michael Page global company profile. Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents. While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal. Our teams are broken down to focus on industry, assignment type, salary level and location, so your hiring requirements or job search will all be handled by a specialist who knows your sector inside-out. We are confident that our expertise can add value to your recruitment or job search process – get in touch to find out more.