Schnelle Bewerbung
47
Erscheinungsdatum
Home-Office-Optionen
Pendelzeit
Bewerbungsart
Sprache
Fähigkeiten
Berufsfeld
Branche
Region
Städte
Berufserfahrung
Anstellungsart
Arbeitszeit
Filter
SortierungRelevanz
Beliebte Jobs
- Business Intelligence
- Solution Engineer
- Database Engineering
- Engineering Software
- Data Center Engineer
- Business Intelligence Consulting
- Engineering Systems
- Data Integration
- Informatiker
- Data Center Engineering
- Data analysis
- Business Intelligence Engineer
- Data Analytics Consulting
- Data Warehouse Consulting
- Data Analytics
- Ingenieur Informatik
Standorte
- Mannheim
- Mainz
- Heidelberg
- Darmstadt
- Ludwigshafen am Rhein
- Kaiserslautern
- Worms
- Walldorf, Baden-Württemberg
- Neustadt an der Weinstraße
- Bruchsal
- Speyer
- Landau in der Pfalz
- Frankenthal (Pfalz)
- Viernheim
- Eggenstein-Leopoldshafen
- Germersheim
- Eppelheim
- Sankt Leon-Rot
- Offenbach an der Queich
- Rülzheim
- Europa
- Westliches Europa
- Westdeutschland
- Süddeutschland
- Nordrhein-Westfalen
- Südwestdeutschland
- Baden-Württemberg
- Rheinland
- Hessen
- Rhein-Main-Gebiet
- Schwarzwald
- Rheinland-Pfalz
- Nordbaden
- Odenwald
- Rhein-Neckar
Home-Office-Optionen
Gehalt
Leg fest, wie viel du mindestens verdienen willst.
Pendelzeit
Bewerbungsart
Sprache
Fähigkeiten
Berufsfeld
Branche
Region
Städte
Berufserfahrung
Anstellungsart
Arbeitszeit
Beliebte Jobs
- Business Intelligence
- Solution Engineer
- Database Engineering
- Engineering Software
- Data Center Engineer
- Business Intelligence Consulting
- Engineering Systems
- Data Integration
- Informatiker
- Data Center Engineering
- Data analysis
- Business Intelligence Engineer
- Data Analytics Consulting
- Data Warehouse Consulting
- Data Analytics
- Ingenieur Informatik
Standorte
- Mannheim
- Mainz
- Heidelberg
- Darmstadt
- Ludwigshafen am Rhein
- Kaiserslautern
- Worms
- Walldorf, Baden-Württemberg
- Neustadt an der Weinstraße
- Bruchsal
- Speyer
- Landau in der Pfalz
- Frankenthal (Pfalz)
- Viernheim
- Eggenstein-Leopoldshafen
- Germersheim
- Eppelheim
- Sankt Leon-Rot
- Offenbach an der Queich
- Rülzheim
- Europa
- Westliches Europa
- Westdeutschland
- Süddeutschland
- Nordrhein-Westfalen
- Südwestdeutschland
- Baden-Württemberg
- Rheinland
- Hessen
- Rhein-Main-Gebiet
- Schwarzwald
- Rheinland-Pfalz
- Nordbaden
- Odenwald
- Rhein-Neckar
204 Treffer für Data Engineering Jobs in Frankenthal Pfalz im Umkreis von 30 km
){kind=logo}
Experience with data engineering aspects for sensor data: synchronization, cleaning, labeling, handling of large continuous streams * Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.) * Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability * Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc) * Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field
Experience with data engineering aspects for sensor data: synchronization, cleaning, labeling, handling of large continuous streams * Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.) * Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability * Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc) * Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field
){kind=logo}
Data Engineers, Analysts & Scientists (w|m|d)
Data Engineers, Analysts & Scientists (w|m|d)
BridgingIT GmbH
Mannheim, Köln, München, Nürnberg, Stuttgart
Teilweise Home-Office
Anschreiben nicht erforderlich
Data Engineering Tools: Erfahrung mit Plattformen wie Databricks, MS Fabric oder Snowflake ist von Vorteil. Werde Teil unserer Analytics- und Data-Community und arbeite mit Gleichgesinnten an spannenden Projekten. * Ausbildung: Du hast ein abgeschlossenes Studium in Informatik, Mathematik, Wirtschaftsinformatik, Data Science oder einer vergleichbaren Fachrichtung.
Data Engineering Tools: Erfahrung mit Plattformen wie Databricks, MS Fabric oder Snowflake ist von Vorteil. Werde Teil unserer Analytics- und Data-Community und arbeite mit Gleichgesinnten an spannenden Projekten. * Ausbildung: Du hast ein abgeschlossenes Studium in Informatik, Mathematik, Wirtschaftsinformatik, Data Science oder einer vergleichbaren Fachrichtung.
){kind=logo}
Senior Consultant Business Intelligence (m/w/d)
Senior Consultant Business Intelligence (m/w/d)
Janitos Versicherung AG
Heidelberg
Teilweise Home-Office
Du hast ein abgeschlossenes Studium idealerweise in einem der Bereiche Data Engineering, Data Management, Data Science oder Wirtschaftsingenieurswesen * Stetige Weiterentwicklung des Data Warehouse (Architektur, Reporting, etc.)
Du hast ein abgeschlossenes Studium idealerweise in einem der Bereiche Data Engineering, Data Management, Data Science oder Wirtschaftsingenieurswesen * Stetige Weiterentwicklung des Data Warehouse (Architektur, Reporting, etc.)
){kind=logo}
Werkstudent Technische Assistenz der Geschäftsführung (mwd)
Werkstudent Technische Assistenz der Geschäftsführung (mwd)
HMS Analytical Software GmbH
Heidelberg
Teilweise Home-Office
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren.
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren.
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren.
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren.
Werkstudent (mwd) Software Development & Analytics
Werkstudent (mwd) Software Development & Analytics
HMS Analytical Software GmbH
Heidelberg
Teilweise Home-Office
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. * Als Werkstudent (mwd) Software Development & Analytics unterstützt Du unsere Projektteams bei der Implementierung von Systemen, die mithilfe von Data Science die Geschäftsprozesse unserer Kunden verbessern. * Du übernimmst Teilaufgaben in IT-Projekten, die sich im Umfeld der digitalen Transformation (IoT, Big Data, Cloud...) bewegen.
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. * Als Werkstudent (mwd) Software Development & Analytics unterstützt Du unsere Projektteams bei der Implementierung von Systemen, die mithilfe von Data Science die Geschäftsprozesse unserer Kunden verbessern. * Du übernimmst Teilaufgaben in IT-Projekten, die sich im Umfeld der digitalen Transformation (IoT, Big Data, Cloud...) bewegen.
(Senior) Mitarbeiter Vertriebsinnendienst (mwd) / Sales Support Specialist
(Senior) Mitarbeiter Vertriebsinnendienst (mwd) / Sales Support Specialist
HMS Analytical Software GmbH
Berlin, Düsseldorf, Heidelberg, Ulm
Teilweise Home-Office
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei, aus ihren Daten Mehrwerte zu generieren.
Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei, aus ihren Daten Mehrwerte zu generieren.
){kind=logo}
Leidenschaft für Daten, Datenmodellierung, Data Analytics, Data Engineering sowie die faszinierenden Anwendungsmöglichkeiten künstlicher Intelligenz * Mehrjährige Berufserfahrung in den Bereichen Business Intelligence, Data Analytics oder Künstliche Intelligenz in der AWS-Cloud, gerne auch in Kombination mit Open-Source Technologien
Leidenschaft für Daten, Datenmodellierung, Data Analytics, Data Engineering sowie die faszinierenden Anwendungsmöglichkeiten künstlicher Intelligenz * Mehrjährige Berufserfahrung in den Bereichen Business Intelligence, Data Analytics oder Künstliche Intelligenz in der AWS-Cloud, gerne auch in Kombination mit Open-Source Technologien
Noch nichts dabei? Es gibt 196 weitere Jobs, die zu deiner Suche passen könnten
){kind=logo}
Research Software Engineer / HIFIS Consultant
Research Software Engineer / HIFIS Consultant
Deutsches Krebsforschungszentrum DKFZ
Heidelberg
Teilweise Home-Office
Collaborate with to analyze requirements, design suitable software and data workflows, and support the implementation of modern, needs-oriented software engineering strategies - The Division of Medical Image Computing (MIC) is a leading research group pioneering advancements in machine learning and information processing to improve cancer patient care through systematic image data analytics. Within DKFZ, MIC and other divisions collaborate closely with the Helmholtz Federated IT Services (HIFIS), an established Helmholtz platform that provides cloud-based IT services, collaboration tools, and dedicated consulting for sustainable research software engineering across all Helmholtz centers and their partners. To strengthen our interdisciplinary team in HIFIS Research Software Engineering consulting activities, we are seeking for the next possible date a highly motivated ...
Collaborate with to analyze requirements, design suitable software and data workflows, and support the implementation of modern, needs-oriented software engineering strategies - The Division of Medical Image Computing (MIC) is a leading research group pioneering advancements in machine learning and information processing to improve cancer patient care through systematic image data analytics. Within DKFZ, MIC and other divisions collaborate closely with the Helmholtz Federated IT Services (HIFIS), an established Helmholtz platform that provides cloud-based IT services, collaboration tools, and dedicated consulting for sustainable research software engineering across all Helmholtz centers and their partners. To strengthen our interdisciplinary team in HIFIS Research Software Engineering consulting activities, we are seeking for the next possible date a highly motivated ...
){kind=logo}
With around 1,400 employees and global R&D expertise, Nova develops technologies that enable insights down to the atomic level and provide critical data for the most advanced chip manufacturing processes. You will lead and develop a strong operations team, establish smart processes, and collaborate closely with Engineering, Service, and Commercial teams. * Collaborating with Engineering, Service, Supply Chain, and Logistics on customer support strategy, PM kits (Preventive Maintenance Kits), spare-parts availability, ECR/ECO (Engineering Change Request/Order), and field escalations * Contributing to BU direction and Operations/Engineering roadmap execution as part of the senior management team * Strong academic background with a Bachelor's or Master's degree in manufacturing operations, industrial engineering, or a related field; MBA/executive studies are an advantage
With around 1,400 employees and global R&D expertise, Nova develops technologies that enable insights down to the atomic level and provide critical data for the most advanced chip manufacturing processes. You will lead and develop a strong operations team, establish smart processes, and collaborate closely with Engineering, Service, and Commercial teams. * Collaborating with Engineering, Service, Supply Chain, and Logistics on customer support strategy, PM kits (Preventive Maintenance Kits), spare-parts availability, ECR/ECO (Engineering Change Request/Order), and field escalations * Contributing to BU direction and Operations/Engineering roadmap execution as part of the senior management team * Strong academic background with a Bachelor's or Master's degree in manufacturing operations, industrial engineering, or a related field; MBA/executive studies are an advantage
){kind=logo}
Master (oder vergleichbarer Abschluss) in Computational Linguistics, Informatik, Data Science oder einem relevanten Fachgebiet * Data Processing von Texten in natürlicher Sprache * Dataset Engineering und Aufbau komplexer Datenpipelines
Master (oder vergleichbarer Abschluss) in Computational Linguistics, Informatik, Data Science oder einem relevanten Fachgebiet * Data Processing von Texten in natürlicher Sprache * Dataset Engineering und Aufbau komplexer Datenpipelines
With around 1,400 employees and extensive global R&D expertise, Nova develops technologies that provide insights down to the atomic level and deliver critical decision¬making data for the most advanced chip manufacturing processes. You will collaborate closely with Software Engineering, Hardware, and Product Management teams to align the architecture with both technical and business needs. * Experience in real-time systems, hardware integration, or optical sensor data processing is a strong advantage * Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements
With around 1,400 employees and extensive global R&D expertise, Nova develops technologies that provide insights down to the atomic level and deliver critical decision¬making data for the most advanced chip manufacturing processes. You will collaborate closely with Software Engineering, Hardware, and Product Management teams to align the architecture with both technical and business needs. * Experience in real-time systems, hardware integration, or optical sensor data processing is a strong advantage * Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements
In this role, you will be responsible for establishing, operating, and continuously improving data-driven quality assurance and testing processes across the product lifecycle. * Driving data-driven quality improvements using statistical methods and analytical insights * Master's degree in Engineering, or a related technical field * 5–10 years of relevant professional experience in quality assurance, testing, or a related engineering role * Expert-level skills in data analysis and statistical quality control methods
In this role, you will be responsible for establishing, operating, and continuously improving data-driven quality assurance and testing processes across the product lifecycle. * Driving data-driven quality improvements using statistical methods and analytical insights * Master's degree in Engineering, or a related technical field * 5–10 years of relevant professional experience in quality assurance, testing, or a related engineering role * Expert-level skills in data analysis and statistical quality control methods
With around 1,400 employees and global R&D expertise, Nova develops technologies that enable insights down to the atomic level and provide critical data for the most advanced chip manufacturing processes. * Strong technical background with a degree in Engineering or a related technical field; an MBA is an advantage
With around 1,400 employees and global R&D expertise, Nova develops technologies that enable insights down to the atomic level and provide critical data for the most advanced chip manufacturing processes. * Strong technical background with a degree in Engineering or a related technical field; an MBA is an advantage
){kind=logo}
Cloud Engineer Azure (m/w/d) - Cloud System Administrator (m/w/d)
Cloud Engineer Azure (m/w/d) - Cloud System Administrator (m/w/d)
Ratbacher GmbH
Berlin, Düsseldorf, Leipzig, Köln, Mannheim, Hamburg
Teilweise Home-Office
Anschreiben nicht erforderlich
Schnelle Bewerbung
3-6 Jahre Erfahrung im Cloud- und Datenengineering, speziell mit Azure und AWS * Fundierte Kenntnisse in Data Platform Architekturen (Delta Lake, Data Mesh) sowie Azure Synapse, Databricks, Python und pySpark * Erfahrung in Cloud Data Infrastruktur, IaC, CI/CD sowie Git und Azure, kombiniert mit einer kommunikativen, lösungsorientierten Persönlichkeit und sehr guten Deutschkenntnissen in Wort und Schrift
3-6 Jahre Erfahrung im Cloud- und Datenengineering, speziell mit Azure und AWS * Fundierte Kenntnisse in Data Platform Architekturen (Delta Lake, Data Mesh) sowie Azure Synapse, Databricks, Python und pySpark * Erfahrung in Cloud Data Infrastruktur, IaC, CI/CD sowie Git und Azure, kombiniert mit einer kommunikativen, lösungsorientierten Persönlichkeit und sehr guten Deutschkenntnissen in Wort und Schrift
){kind=logo}
Define test data and coordinate unit, integration, and user acceptance testing in close collaboration with functional peers and * Successfully completed studies in Information Technology, Computer Science or Engineering * Strong expertise in SAP integration, data migration, and cross-module processes
Define test data and coordinate unit, integration, and user acceptance testing in close collaboration with functional peers and * Successfully completed studies in Information Technology, Computer Science or Engineering * Strong expertise in SAP integration, data migration, and cross-module processes
Advanced degree in Chemistry, Chemical Engineering, Environmental Science, or a related technical field * Skilled in data analysis and interpretation to identify trends and potential compliance risks
Advanced degree in Chemistry, Chemical Engineering, Environmental Science, or a related technical field * Skilled in data analysis and interpretation to identify trends and potential compliance risks
){kind=logo}
System Engineer Internship – Customer Advisory Analytics (Insurance Focus)
System Engineer Internship – Customer Advisory Analytics (Insurance Focus)
SAS Institute GmbH
Heidelberg
Teilweise Home-Office
Through our software and services, we inspire customers around the world to transform a world of data into a world of intelligence. We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers. At SAS, we're looking for a tech-savvy intern who's passionate about analytics and AI in the insurance sector — someone who wants to work on solutions that help insurers protect their , detect fraud, and make smarter, data-driven decisions. Preferred majors: Management Engineering, Quantitative Finance, Economics, or any
Through our software and services, we inspire customers around the world to transform a world of data into a world of intelligence. We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers. At SAS, we're looking for a tech-savvy intern who's passionate about analytics and AI in the insurance sector — someone who wants to work on solutions that help insurers protect their , detect fraud, and make smarter, data-driven decisions. Preferred majors: Management Engineering, Quantitative Finance, Economics, or any
){kind=logo}
Work closely with Product, Engineering, Design, Ops, and Data to ship growth-relevant changes. * Use data to prioritize initiatives and communicate progress to and teams. Product- & Data-Driven
Work closely with Product, Engineering, Design, Ops, and Data to ship growth-relevant changes. * Use data to prioritize initiatives and communicate progress to and teams. Product- & Data-Driven
NEU
){kind=logo}
We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. The data still runs the business, but it can't easily be trusted, reused, or reasoned over consistently by modern software and AI. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automation. Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data.
We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. The data still runs the business, but it can't easily be trusted, reused, or reasoned over consistently by modern software and AI. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automation. Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data.
We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. The data still runs the business, but it can't easily be trusted, reused, or reasoned over consistently by modern software and AI. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automate. Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data.
We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. The data still runs the business, but it can't easily be trusted, reused, or reasoned over consistently by modern software and AI. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automate. Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data.
Schnelle Bewerbung
Oversee the automation of data acquisition, labeling, and pipeline engineering to enhance efficiency and scalability. * Advanced degree in Artificial Intelligence, Computer Science, Mathematics, or a related engineering field, with a track record of and professional excellence.
Oversee the automation of data acquisition, labeling, and pipeline engineering to enhance efficiency and scalability. * Advanced degree in Artificial Intelligence, Computer Science, Mathematics, or a related engineering field, with a track record of and professional excellence.
Schnelle Bewerbung
Employ best practices in software engineering to ensure high-performance, maintainable, and reliable code. * Knowledge of RESTful APIs, modern authorization mechanisms (e.g., JSON Web Token), and data integration techniques.
Employ best practices in software engineering to ensure high-performance, maintainable, and reliable code. * Knowledge of RESTful APIs, modern authorization mechanisms (e.g., JSON Web Token), and data integration techniques.
Our applications turn raw sensor data into actionable insights, and reliability, clarity, and performance matter. * Work with APIs and backend services to integrate data and features. * Ensure reliable data flows between frontend, backend, and AI systems. * Work closely with Product, AI, and Engineering teams. * Experience with IoT or data-heavy applications.
Our applications turn raw sensor data into actionable insights, and reliability, clarity, and performance matter. * Work with APIs and backend services to integrate data and features. * Ensure reliable data flows between frontend, backend, and AI systems. * Work closely with Product, AI, and Engineering teams. * Experience with IoT or data-heavy applications.
){kind=logo}
Enge, domänenspezifische Zusammenarbeit mit Engineering, Operations, AI und Data auf Augenhöhe * Studium in Wirtschaftsinformatik, Informatik, Wirtschaftswissenschaften, Software Engineering oder verwandten Feldern
Enge, domänenspezifische Zusammenarbeit mit Engineering, Operations, AI und Data auf Augenhöhe * Studium in Wirtschaftsinformatik, Informatik, Wirtschaftswissenschaften, Software Engineering oder verwandten Feldern
Beliebte Jobs
- Business Intelligence
- Solution Engineer
- Database Engineering
- Engineering Software
- Data Center Engineer
- Business Intelligence Consulting
- Engineering Systems
- Data Integration
- Informatiker
- Data Center Engineering
- Data analysis
- Business Intelligence Engineer
- Data Analytics Consulting
- Data Warehouse Consulting
- Data Analytics
- Ingenieur Informatik
Standorte
- Mannheim
- Mainz
- Heidelberg
- Darmstadt
- Ludwigshafen am Rhein
- Kaiserslautern
- Worms
- Walldorf, Baden-Württemberg
- Neustadt an der Weinstraße
- Bruchsal
- Speyer
- Landau in der Pfalz
- Frankenthal (Pfalz)
- Viernheim
- Eggenstein-Leopoldshafen
- Germersheim
- Eppelheim
- Sankt Leon-Rot
- Offenbach an der Queich
- Rülzheim
- Europa
- Westliches Europa
- Westdeutschland
- Süddeutschland
- Nordrhein-Westfalen
- Südwestdeutschland
- Baden-Württemberg
- Rheinland
- Hessen
- Rhein-Main-Gebiet
- Schwarzwald
- Rheinland-Pfalz
- Nordbaden
- Odenwald
- Rhein-Neckar