Data Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwirfst du skalierbare Datenpipelines, transformierst komplexe Daten und arbeitest mit Data Scientists zusammen, um hochwertige Datenprodukte zu liefern und innovative Datenlösungen zu entwickeln. Job Zusammenfassung In dieser Position entwirfst du skalierbare Datenpipelines, transformierst komplexe Daten und arbeitest mit Data Scientists zusammen, um hochwertige Datenprodukte zu liefern und innovative Datenlösungen zu entwickeln. Deine Rolle im Team As a Data Engineer on the Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges. Design, build, and operate scalable, reliable data pipelines that serve as the foundational backbone for enterprise analytics and machine learning solutions. Lead centralized data initiatives by partnering with Data Scientists, Analysts, and domain experts to deliver high-quality, business-aligned data products. Ensure data stability and integrity through rigorous monitoring, automated validation, and continuous improvement of data flows and ML operationalization. Champion DataOps, clean code, and robust testing standards while acting as a role model for engineering excellence within the team. Proactively identify opportunities to simplify pipelines, automate workflows, and evaluate emerging cloud technologies to drive platform evolution. Enable new data sources and analytical use cases by designing extensible architectures that support future forecasting and planning needs. Unsere Erwartungen an dich Ausbildung A degree in IT, Computer Science, or Engineering, coupled with at least 3 years of experience designing, implementing, and supporting data engineering or MLOps solutions. Qualifikationen You show strong communication and collaboration skills to effectively engage with both technical and non-technical stakeholders. You demonstrate a passion for emerging technologies and an entrepreneurial mindset to proactively explore, pilot, and scale innovative data solutions. Solid grasp of data architectures (Warehouses, Lakes), pipeline design, data quality assurance, and security protocols. Strong command of Python, SQL, and distributed storage systems (e.g., HDFS, Oracle, MySQL), along with expertise in API-based integration and query languages like Spark. Practical knowledge of DataOps/DevOps practices (Git, CI/CD, Jenkins) and familiarity with enterprise data platforms (e.g., Denodo, Dataiku) is highly valued. Demonstrated ability to apply strong analytical skills to solve complex challenges within a cross-functional, enterprise environment. Erfahrung Hands-on experience with big data technologies (Hadoop, Kafka, Hive), containerization (Docker, Kubernetes), and workflow orchestration tools (Airflow, Mage AI). Unser Angebot Permanent, Full-time Benefits Gesundheit, Fitness & Fun 👩‍⚕️ Betriebsarzt Work-Life-Integration 🏠 Home Office ⏰ Flexible Arbeitszeiten Themen mit denen du dich im Job beschäftigst Machine Learning Cloud Computing AI Data Economy Metadaten Level: Erfahren Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Industrie, Produktion, Elektronik, Automatisation Ort: München | Deutschland

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