ZEISS Group

Software Developer, Data Management Applications

ZEISS Group

full-time

Posted on:

Location Type: Office

Location: Budapest • Hungary

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Tech Stack

AzureCloudDistributed SystemsDockerGrafanaJavaKubernetesPythonSpark

About the role

  • 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

  • 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
  • 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)
Benefits
  • Opportunities for further development
  • Team spirit reign supreme
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaSparkDatabricksAzure Data Platformdata pipelinesAPI-based integrationsDevOpsDataOpsinfrastructure-as-code
Soft Skills
collaborationcommunicationproblem-solvingownershipuser-centric designcontinuous improvement