Software Developer (f/m/d) for Data Management applications

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Industrial
The Role
Design and build scalable data lifecycle solutions on Azure, manage data pipelines, and ensure quality and reliability of data applications in collaboration with business units.
Summary Generated by Built In

Role Summary

You will design, build and operate scalable data lifecycle solutions that enable reliable data consolidation, governance and analytics across ZEISS. Working closely with ZEISS Digital Partners and business units, you take end-to-end ownership of data platforms and pipelines on Azure, contributing directly to ZEISS’ digital transformation.

Responsibilities

  • Design, implement and operate scalable data lifecycle solutions for data consolidation, processing and governance (batch & streaming)
  • Build and automate data transformation pipelines on the Azure Data Platform
  • Take end-to-end ownership of data applications, from conception and prototyping to production and stable operations
  • Drive architecture and technology decisions, including DevOps / DataOps processes and modern data platform patterns
  • Ensure high quality, performance, reusability and reliability of data solutions through clean-code and test-driven development
  • Collaborate closely with ZEISS business units and ZEISS Digital Partners, translating user needs into user-centric technical solutions
  • Support software releases, monitoring and continuous improvement in enterprise-scale environments

Requirements

Must-have

  • 3+ years of professional experience in software or data engineering
  • Strong programming skills in Python and/or Java
  • Experience with distributed data processing (e.g. Spark, Databricks or similar technologies)
  • Hands-on experience with Azure-based data platforms
  • Solid understanding of data pipelines, orchestration and data quality concepts
  • Experience with API-based integrations and distributed systems
  • Fluency in English

Nice-to-have

  • Experience with DevOps / DataOps, CI/CD and infrastructure-as-code
  • Knowledge of containerization and cloud-native architectures (e.g. Docker, Kubernetes)
  • Familiarity with data governance, metadata management and data sharing concepts
  • Experience with monitoring and logging tools (e.g. Grafana, Datadog)
  • Exposure to analytics or machine learning data platforms

Plus

  • Experience working in enterprise-scale, cross-functional environments
  • Strong stakeholder communication and consulting mindset
  • Customer- and user-oriented way of working

Your ZEISS Recruiting Team:

Bartha Györgyi, Fedor Fanni, Meláth Laura, Sturcz Noémi, Wenner Lili

Top Skills

Azure
Ci/Cd
Databricks
Datadog
Docker
Grafana
Java
Kubernetes
Python
Spark
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The Company
HQ: Oberkochen
20,567 Employees

What We Do

ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023).

With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.

Data privacy: www.zeiss.com/data-protection
Imprint: http://zeiss.com/publisher

This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette

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