Data Engineer (all genders)

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About

Condor — passion is our compass! And that's more than just a claim, it's our DNA: As Germany's most popular vacation airline, we take our guests to the world's most beautiful vacation destinations. Every year, over nine million passengers fly with Condor aboard our more than 50 aircraft to around 90 destinations in Europe, Africa, and North America. From the fall of 2022, Condor will be the German launch customer for new long-haul Airbus A330neo aircraft of the latest generation, which, thanks to state-of-the-art technology, is the European leader in fuel consumption of 2.1 liters per passenger per 100 kilometers while offering the highest level of customer comfort. Our more than 4,000 employees on the ground and in the air give their best every day with passion, dedication, and know-how and are writing the next chapters in our 66-year history. We are ready for take-off! Are you too? Become part of the Condor family now and apply for a job with us!

About

Condor — passion is our compass! And that's more than just a claim, it's our DNA: As Germany's most popular vacation airline, we take our guests to the world's most beautiful vacation destinations. Every year, over nine million passengers fly with Condor aboard our more than 50 aircraft to around 90 destinations in Europe, Africa, and North America. From the fall of 2022, Condor will be the German launch customer for new long-haul Airbus A330neo aircraft of the latest generation, which, thanks to state-of-the-art technology, is the European leader in fuel consumption of 2.1 liters per passenger per 100 kilometers while offering the highest level of customer comfort. Our more than 4,000 employees on the ground and in the air give their best every day with passion, dedication, and know-how and are writing the next chapters in our 66-year history. We are ready for take-off! Are you too? Become part of the Condor family now and apply for a job with us!

Data Engineer (all genders)

• Pipeline Development: Design, build, and maintain robust, secure, and high-performance data pipelines using modern ELT/ETL tools—supporting critical analytics and operational use cases
• Modernization: Play a key role in migrating legacy data systems, particularly SAP BW, into a scalable Azure-based architecture—helping define reusable patterns and transition paths
• Data Architecture Alignment: Work closely with data architects and analytics engineers to structure data for fast, intuitive consumption in tools like Power BI and support analytical product delivery
• Governance & Quality: Implement best practices for data quality, lineage tracking, validation and access control—ensuring trust and reliability in enterprise datasets
• Automation & Observability: Drive platform stability through automation, monitoring, and CI/CD integration—embedding quality checks and recovery mechanisms across pipelines
• Business Partnership: Translate business and analytics requirements into scalable, performant data models and reusable datasets that enable self-service and cross-functional collaboration
• Documentation & Knowledge Sharing: Document pipelines, workflows, and standards to contribute to a transparent, product-minded data engineering culture that scales with the organization
• Experience: 5+ years of hands-on data engineering experience in a modern data environment, ideally with exposure to large-scale migrations or platform rebuilds
• SAP BW Transition Knowledge: Experience working with or migrating from SAP BW to cloud-native solutions is strongly preferred
• Cloud Expertise: Proven ability to design and implement solutions using Azure Data Services—such as Azure Data Factory, Azure Data Lake, Synapse and related tooling
• Programming Skills: Proficiency in SQL and Python; familiarity with dbt and infrastructure-as-code tools (e.g., Terraform, ARM) is a strong plus
• BI & Analytics Support: Demonstrated experience delivering clean, governed data models and datasets optimized for BI platforms, especially Power BI
• Data Governance: Solid understanding of data management frameworks, including privacy, access controls, lineage and cataloging practices
• Mindset: Fast, pragmatic and collaborative—able to work across functions, move between technical detail and business impact, and continuously iterate to improve
• Languages: Business-fluent English skills and a good command in German both written and spoken
• Atmosphere – through a friendly and motivated team and flat hierarchies
• Excitement – through an interesting and varied job in a fascinating industry
• Further development – through competent induction as well as training and development opportunities
• Benefits – through attractive travel discounts and social benefits in addition to industry-standard compensation
  
  

TITL1_DE

Nice-to-have skills

• Data Management
• Python
• Data Quality
• Aviation
• Business Analysis
• Quality Control
• Documentation
• ETL
• SQL
• Azure Data Factory
• ARM
• Terraform
• Power BI
• Automation
• ETL
• Azure
• Power BI
• SQL
• Python
• Terraform
• Azure Data Factory
• Neu-Isenburg, Hesse, Germany
  
  

Work experience

• Data Engineer
  
  

Languages

• English

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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