29.09.2026 aktualisiert
Premiumkunde
80 % teilweise verfügbarSenior Data/Machine Learning Engineer
Köln, Deutschland
Nur Remote
BACHELOR'S DEGREE IN COMPUTER SCIENCE WITH A MINOR IN STATISTICSSkills
JavaScriptKünstliche IntelligenzApache AirflowBig DataC++ETLData WarehousingDevOpsGitHubPythonMachine LearningNoSQLTensorFlowSQLFlask
Data Engineering
Extensive experience in designing, developing, and optimizing ETL/ELT pipelines using various technologies including Python, SQL, and Apache Airflow.
Programming Languages
Proficiency in multiple programming languages including Python, Java, Bash, Shell, JavaScript, R, Haskell, and basics in C/C++.
Database Technologies
Expertise in working with various database systems such as SQL, MySQL, NoSQL, MongoDB, Spark, and Abinito.
Machine Learning
Experience in developing AI-powered tools and working with machine learning frameworks such as TensorFlow, SciPy, and Scikit-Learn.
Web Development
Skills in web technologies including OpenAPI, Swagger, Flask, HTML, and various testing frameworks like Cypress and Cucumber.
DevOps and Version Control
Proficiency in version control systems (Git), deployment tools (Docker), and CI/CD pipelines using Jenkins and GitHub Actions.
Big Data Technologies
Experience with big data processing tools such as Spark and data warehousing solutions.
Extensive experience in designing, developing, and optimizing ETL/ELT pipelines using various technologies including Python, SQL, and Apache Airflow.
Programming Languages
Proficiency in multiple programming languages including Python, Java, Bash, Shell, JavaScript, R, Haskell, and basics in C/C++.
Database Technologies
Expertise in working with various database systems such as SQL, MySQL, NoSQL, MongoDB, Spark, and Abinito.
Machine Learning
Experience in developing AI-powered tools and working with machine learning frameworks such as TensorFlow, SciPy, and Scikit-Learn.
Web Development
Skills in web technologies including OpenAPI, Swagger, Flask, HTML, and various testing frameworks like Cypress and Cucumber.
DevOps and Version Control
Proficiency in version control systems (Git), deployment tools (Docker), and CI/CD pipelines using Jenkins and GitHub Actions.
Big Data Technologies
Experience with big data processing tools such as Spark and data warehousing solutions.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2025
Sprachen
ArabischMutterspracheDeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Konzeption und Implementierung der Data-Warehouse-Architektur zur Gewährleistung einer skalierbaren Dateninfrastruktur.
Analyse von GA4-Daten zur Bewertung des digitalen Nutzer- und Unterstützerverhaltens.
Integration und Modellierung der mit Dataform aufbereiteten GA4-Daten im Databricks-basierten Supporter Data Hub.
Konzeption und Implementierung KI-gestützter Analyseagenten zur Automatisierung von Datenanalysen und zur Gewinnunghandlungsrelevanter Erkenntnisse.
Entwicklung modularer Datenladestrecken (ETL/ELT) aus heterogenen Quellsystemen unter Verwendung von Python, Spark und Databricks.
Konzeption und technische Anbindung von REST-APIs zur nahtlosen Datenintegration und zum effizienten Datenaustausch.
Enge Zusammenarbeit mit Data Science-Teams bei der Überführung und Skalierung von Machine-Learning-Modellen in denproduktiven Betrieb
Automated data loading and transformation processes, designed scalable ETL/ELT pipelines, analyzed ETL process failures, and acted as a technical liaison between teams.
Developing an AI-powered tool for organizing companies knowledge, including parsing orchestrator, data pipelines, and AI-powered services deployment.