{"id":59276,"title":"Data Engineer (all genders)","company":"Deutsche Lufthansa AG","city":"Köln","region":"Nordrhein-Westfalen","location":"51063 Köln","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":["data_engineering"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-08T00:00:00+00:00","tools":["ETL","Scala","Python","SQL","Spark","Azure","Databricks","Apache Kafka"],"seniority":"senior","years_experience_min":7,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"Not stated","language_evidence":null,"requirements_snippet":"- 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic) - Deep understanding of data pipeline orchestration, distributed …","url":"https://www.arbeitsagentur.de/jobsuche/jobdetail/13348-1641191-1-S","source":"bundesagentur","agency":null,"description_text":"What you'll do\n\n- Design, build, and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases\n- Contribute to our modern cloud-based data platform in Azure and Databricks\n- Collaborate closely with Data Analysts and Data Scientists to co-create data products\n- Support and contribute to our internal data platform alongside our Data Platform Engineer\n- Continuously improve data quality, documentation, and performance\n- Champion best practices in DataOps: CI/CD, monitoring, alerting, testing, and infrastructure-as-code\n\nIhr Profil:\n\nWhat you'll need\n\n- 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)\n- Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems\n\n- Expertise in Scala or Python with strong SQL skills and experience using Spark in production environments\n- Experience with cloud-native architectures\n- Familiarity with streaming data frameworks\n- Solid grasp of data modeling concepts\n- Languages & Frameworks: Scala, Python, SQL, Spark\n- Cloud & Infra: Azure Cloud Platform, Databricks, Kafka, Azure DevOps/GitHub, Terraform\n\nWhat you'll bring\n\n- Strong collaboration mindset working with cross-functional teams\n- High attention to detail with a strong focus on data quality, accuracy and reliability\n- Exceptional stakeholder management\n- Self-starter with strong organizational skills\n\nWe believe in fair and transparent pay. For this position, the annual salary starts at a minimum of €70,000 and depends on your qualifications, experience, and level of responsibility.","responsibilities_text":"- Design, build, and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases\n- Contribute to our modern cloud-based data platform in Azure and Databricks\n- Collaborate closely with Data Analysts and Data Scientists to co-create data products\n- Support and contribute to our internal data platform alongside our Data Platform Engineer\n- Continuously improve data quality, documentation, and performance\n- Champion best practices in DataOps: CI/CD, monitoring, alerting, testing, and infrastructure-as-code","requirements_text":"- 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)\n- Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems\n- Expertise in Scala or Python with strong SQL skills and experience using Spark in production environments\n- Experience with cloud-native architectures\n- Familiarity with streaming data frameworks\n- Solid grasp of data modeling concepts\n- Languages & Frameworks: Scala, Python, SQL, Spark\n- Cloud & Infra: Azure Cloud Platform, Databricks, Kafka, Azure DevOps/GitHub, Terraform\n- Strong collaboration mindset working with cross-functional teams\n- High attention to detail with a strong focus on data quality, accuracy and reliability\n- Exceptional stakeholder management\n- Self-starter with strong organizational skills\nWe believe in fair and transparent pay. For this position, the annual salary starts at a minimum of €70,000 and depends on your qualifications, experience, and level of responsibility.","status":"open","duplicate_of":null,"first_seen":"2026-11-02T16:45:01.358610+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["ETL","Scala","Python","SQL","Spark","Azure","Databricks","Apache Kafka","Azure DevOps","Terraform","CI/CD","Infrastructure as Code"],"posting_language":"en","evidence":[],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":null}