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523 Treffer für Data Engineering Jobs in Gauting im Umkreis von 30 km
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3-5 years of experience in big data or data engineering with a focus on analytics and search over very large datasets. Am Standort München suchen wir Sie als Big Data Engineer - ML Analytics & Search (f/m/x) We train models on petabyte-scale automotive sensor data, but training is only half the story. Before a single GPU cycle is spent, engineers need to find, filter, evaluate, and understand the data. * You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds. * Furthermore, you build and operate indexing and cataloguing systems for automotive sensor data, including metadata extraction, signal-level indexing, scene tagging, and embedding-based similarity search.
3-5 years of experience in big data or data engineering with a focus on analytics and search over very large datasets. Am Standort München suchen wir Sie als Big Data Engineer - ML Analytics & Search (f/m/x) We train models on petabyte-scale automotive sensor data, but training is only half the story. Before a single GPU cycle is spent, engineers need to find, filter, evaluate, and understand the data. * You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds. * Furthermore, you build and operate indexing and cataloguing systems for automotive sensor data, including metadata extraction, signal-level indexing, scene tagging, and embedding-based similarity search.
As the AI Data Lead for the SAP-RPT model family, you will own our data assets, drive the strategy to grow the asset base and ensure best usability and highest value for our foundation model research & engineering teams. You will enable our research & engineering teams to build best-in-class AI models through providing the best data foundation, while ensuring adherence to SAP's unwavering commitment to industry-leading compliance standards. Data Engineering & SAP Ecosystem: Extensive experience with high-performance databases (SQL) and SAP's data stack (e.g. BDC, HANA & BTP) as well as with the development of cloud-native pipelines. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a ...
As the AI Data Lead for the SAP-RPT model family, you will own our data assets, drive the strategy to grow the asset base and ensure best usability and highest value for our foundation model research & engineering teams. You will enable our research & engineering teams to build best-in-class AI models through providing the best data foundation, while ensuring adherence to SAP's unwavering commitment to industry-leading compliance standards. Data Engineering & SAP Ecosystem: Extensive experience with high-performance databases (SQL) and SAP's data stack (e.g. BDC, HANA & BTP) as well as with the development of cloud-native pipelines. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a ...
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Basic scripting knowledge (Python or similar) or experience working with data engineering teams. As climate and natural catastrophe risks increase in frequency and severity, insurers require high-quality data, modern analytics, and reliable digital solutions to stay competitive. To support this mission, we are looking for a Junior Product Manager – Insurance to help strengthen our insurance-focused product development and shape the future of our risk and climate data solutions. * Collaborate with modelling, analytics, UI/UX and engineering teams to develop and implement new features and datasets for the Location Risk Intelligence platform. * Adapt and prepare geospatial and risk data for key insurance use cases such as underwriting, exposure analysis, and accumulation control. * Academic degree in insurance management, business administration, geosciences, environmental sciences, geography, ...
Basic scripting knowledge (Python or similar) or experience working with data engineering teams. As climate and natural catastrophe risks increase in frequency and severity, insurers require high-quality data, modern analytics, and reliable digital solutions to stay competitive. To support this mission, we are looking for a Junior Product Manager – Insurance to help strengthen our insurance-focused product development and shape the future of our risk and climate data solutions. * Collaborate with modelling, analytics, UI/UX and engineering teams to develop and implement new features and datasets for the Location Risk Intelligence platform. * Adapt and prepare geospatial and risk data for key insurance use cases such as underwriting, exposure analysis, and accumulation control. * Academic degree in insurance management, business administration, geosciences, environmental sciences, geography, ...
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Lead Research Engineer (f/m/d): Foundation and World Models on Structured Data
Lead Research Engineer (f/m/d): Foundation and World Models on Structured Data
SAP SE
Garching bei München, DE, 85748
Experience in Data Engineering with a hands-on approach to solving data challenges. At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Define the data, training, and experimentation environment to enable scalable access to data and compute. Define and lead the creation of new training and benchmark datasets, bringing together rich semantic context with large scale business data.
Experience in Data Engineering with a hands-on approach to solving data challenges. At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Define the data, training, and experimentation environment to enable scalable access to data and compute. Define and lead the creation of new training and benchmark datasets, bringing together rich semantic context with large scale business data.
You will develop high-quality, end-to-end data pipelines, execute complex data extractions, and engineer the high-value datasets essential for our foundation model research and engineering teams. This is the ideal role for a highly technical, detail-oriented individual eager to work at the core of data engineering and contribute to the development of one of the few leading foundation models of European origin. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, ...
You will develop high-quality, end-to-end data pipelines, execute complex data extractions, and engineer the high-value datasets essential for our foundation model research and engineering teams. This is the ideal role for a highly technical, detail-oriented individual eager to work at the core of data engineering and contribute to the development of one of the few leading foundation models of European origin. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, ...
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BIM- / CAD-Konstrukteur Elektrotechnik (m/w/d) in Voll- oder Teilzeit
BIM- / CAD-Konstrukteur Elektrotechnik (m/w/d) in Voll- oder Teilzeit
Bachner Elektro GmbH & Co. KG
Oberschleißheim
Wir in der Abteilung Planung & Engineering sind ein Team von derzeit 32 KollegInnen an verschiedenen Standorten und planen anspruchsvolle Projekte für die Industrie sowie die öffentliche Hand.
Wir in der Abteilung Planung & Engineering sind ein Team von derzeit 32 KollegInnen an verschiedenen Standorten und planen anspruchsvolle Projekte für die Industrie sowie die öffentliche Hand.
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(Junior) Microsoft Fabric & Analytics Consultant (m/w/d)
(Junior) Microsoft Fabric & Analytics Consultant (m/w/d)
Reply
Hamburg, Köln, München, Berlin
Teilweise Home-Office
Konzeption und Umsetzung moderner Datenplattform-Architekturen auf Basis von Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Engineering) * Nutzung von Azure- und Fabric-nativen Services zur Umsetzung analytischer und KI-gestützter Use Cases (z. B. Fabric Data Science, Azure ML, Cognitive Services) * Durchführung von Requirements-Engineering-Workshops, Enablement-Sessions und Schulungen rund um Microsoft Fabric * Erfolgreich abgeschlossenes Studium in (Wirtschafts-) Informatik, Data Science oder einem vergleichbaren Bereich * Starkes Interesse an modernen Analytics- und Data-Plattformen, insbesondere Microsoft Fabric (Lakehouse, Data Factory, Synapse-ähnliche Konzepte)
Konzeption und Umsetzung moderner Datenplattform-Architekturen auf Basis von Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Engineering) * Nutzung von Azure- und Fabric-nativen Services zur Umsetzung analytischer und KI-gestützter Use Cases (z. B. Fabric Data Science, Azure ML, Cognitive Services) * Durchführung von Requirements-Engineering-Workshops, Enablement-Sessions und Schulungen rund um Microsoft Fabric * Erfolgreich abgeschlossenes Studium in (Wirtschafts-) Informatik, Data Science oder einem vergleichbaren Bereich * Starkes Interesse an modernen Analytics- und Data-Plattformen, insbesondere Microsoft Fabric (Lakehouse, Data Factory, Synapse-ähnliche Konzepte)
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EY-Parthenon Praktikant Data Engineer - Strategy and Transactions (w/m/d)
EY-Parthenon Praktikant Data Engineer - Strategy and Transactions (w/m/d)
EY-Parthenon
München, Berlin, Frankfurt/Main, Stuttgart
Gute Programmierkenntnisse in SQL oder Python und bestenfalls erste Erfahrung in Cloud Data Engineering (Data Warehousing, ETL-/ELT-Pipelines und Versionskontrollsystemen mit CI/CD-Pipelines) Als Teil unseres Data Analytics Teams in der Serviceline Strategy and Transactions an den Standorten Berlin, Frankfurt/Main, München oder Stuttgart unterstützt du unser Team bei Analysen während des gesamten Deal- und Transformationszyklus. * Implementierung passgenauer BI-/Analytics-Lösungen unter Verwendung von Spark-Plattformen und relationalen Datenbanken (Synapse, Databricks, SQL), Plattformen und Orchestrierungen (MS Fabric, Azure Data Factory, dbt) und Visualisierungen (Power BI) * Studium im Bereich Data Science, Wirtschaftsinformatik/-mathematik; -wissenschaften oder einen vergleichbaren Studiengang mindestens im 4.
Gute Programmierkenntnisse in SQL oder Python und bestenfalls erste Erfahrung in Cloud Data Engineering (Data Warehousing, ETL-/ELT-Pipelines und Versionskontrollsystemen mit CI/CD-Pipelines) Als Teil unseres Data Analytics Teams in der Serviceline Strategy and Transactions an den Standorten Berlin, Frankfurt/Main, München oder Stuttgart unterstützt du unser Team bei Analysen während des gesamten Deal- und Transformationszyklus. * Implementierung passgenauer BI-/Analytics-Lösungen unter Verwendung von Spark-Plattformen und relationalen Datenbanken (Synapse, Databricks, SQL), Plattformen und Orchestrierungen (MS Fabric, Azure Data Factory, dbt) und Visualisierungen (Power BI) * Studium im Bereich Data Science, Wirtschaftsinformatik/-mathematik; -wissenschaften oder einen vergleichbaren Studiengang mindestens im 4.
(Junior) AI Application Engineer || AI Products LLM & RAG (m/w/d)
(Junior) AI Application Engineer || AI Products LLM & RAG (m/w/d)
Reply
München, Berlin
Teilweise Home-Office
Abgeschlossenes Studium in Informatik, Software Engineering, Data Science oder einem vergleichbaren technischen Bereich - Machine Learning Reply bietet maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich an, die den gesamten Projektlebenszyklus abdecken – von der initialen Strategieberatung über die Datenarchitektur und Infrastrukturthemen bis hin zur Datenverarbeitung und Qualitätssicherung unter Verwendung von Machine-Learning-Algorithmen. Mit dem Machine Learning Incubator bietet das Unternehmen ein Programm zur Ausbildung der nächsten Generation von Entscheidungsträgern, Data Scientists und Entwicklern an.
Abgeschlossenes Studium in Informatik, Software Engineering, Data Science oder einem vergleichbaren technischen Bereich - Machine Learning Reply bietet maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich an, die den gesamten Projektlebenszyklus abdecken – von der initialen Strategieberatung über die Datenarchitektur und Infrastrukturthemen bis hin zur Datenverarbeitung und Qualitätssicherung unter Verwendung von Machine-Learning-Algorithmen. Mit dem Machine Learning Incubator bietet das Unternehmen ein Programm zur Ausbildung der nächsten Generation von Entscheidungsträgern, Data Scientists und Entwicklern an.
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Duales Studium - Data Science und Künstliche Intelligenz
Duales Studium - Data Science und Künstliche Intelligenz
RTL2 Fernsehen GmbH & Co. KG
Grünwald
Teilweise Home-Office
Dabei sind insbesondere Stationen im Bereich Data Science, Technology Engineering & Operations sowie dem IT Business Management geplant - jedoch auch in anderen Unternehmensbereichen und Schnittstellen-Abteilungen, welche die KI-Lösungen und IT-Systeme nutzen - Im dreimonatigen Wechsel zwischen der DHBW Ravensburg (Baden-Württemberg) und unserem Unternehmen in Grünwald bei München erhältst du eine fundierte Ausbildung im Studiengang "Data Science und Künstliche Intelligenz". * An der Hochschule absolvierst du dein Studium im Studiengang "Data Science und Künstliche Intelligenz" (Studienbeginn: 01. Oktober 2026) und bekommst dort eine breite Basis an Grundlagen im Bereich Informatik, Wirtschaftsinformatik und Business Management vermittelt
Dabei sind insbesondere Stationen im Bereich Data Science, Technology Engineering & Operations sowie dem IT Business Management geplant - jedoch auch in anderen Unternehmensbereichen und Schnittstellen-Abteilungen, welche die KI-Lösungen und IT-Systeme nutzen - Im dreimonatigen Wechsel zwischen der DHBW Ravensburg (Baden-Württemberg) und unserem Unternehmen in Grünwald bei München erhältst du eine fundierte Ausbildung im Studiengang "Data Science und Künstliche Intelligenz". * An der Hochschule absolvierst du dein Studium im Studiengang "Data Science und Künstliche Intelligenz" (Studienbeginn: 01. Oktober 2026) und bekommst dort eine breite Basis an Grundlagen im Bereich Informatik, Wirtschaftsinformatik und Business Management vermittelt
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Duales Studium Wirtschaftsinformatik (B.Sc.) am Campus oder virtuell
Duales Studium Wirtschaftsinformatik (B.Sc.) am Campus oder virtuell
IU Internationale Hochschule
München
Anschreiben nicht erforderlich
Software Engineering * Data Analytics
Software Engineering * Data Analytics
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Cloud Data Engineer - Databricks (all genders)
Cloud Data Engineer - Databricks (all genders)
adesso SE
Augsburg, Karlsruhe, Koblenz, München, Nürnberg, Saarbrücken, Stuttgart, Ulm, Walldorf
Anschreiben nicht erforderlich
Projektverantwortung: Du steuerst Cloud Data Engineering-Projekte und koordinierst die Zusammenarbeit mit Kunden und . * Ausbildung: Du hast ein abgeschlossenes Studium der Informatik oder eine vergleichbare Ausbildung sowie relevante Praxiserfahrung im Data & Analytics Consulting oder Software Engineering. * Bock auf Daten: Du hast eine Leidenschaft für Daten und möchtest im Cloud Data Engineering als Pionierin oder Pionier auftreten. * Datenintegration: Du entwickelst Lösungen für Data Warehouse, Data Lake und Data Platform mit Fokus auf Databricks.
Projektverantwortung: Du steuerst Cloud Data Engineering-Projekte und koordinierst die Zusammenarbeit mit Kunden und . * Ausbildung: Du hast ein abgeschlossenes Studium der Informatik oder eine vergleichbare Ausbildung sowie relevante Praxiserfahrung im Data & Analytics Consulting oder Software Engineering. * Bock auf Daten: Du hast eine Leidenschaft für Daten und möchtest im Cloud Data Engineering als Pionierin oder Pionier auftreten. * Datenintegration: Du entwickelst Lösungen für Data Warehouse, Data Lake und Data Platform mit Fokus auf Databricks.
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Junior ETL-Developer / Business Analyst m/w/d - remote - deutschlandweit
Junior ETL-Developer / Business Analyst m/w/d - remote - deutschlandweit
23DATA GmbH
Berlin,München,Hamburg,Köln,Frankfurt am Main,Stuttgart,Düsseldorf,Nürnberg,Karslruhe,Dresden,Bremen
Teilweise Home-Office
mind. 2 Jahre Erfahrung im Bereich Business Intelligence, Data Engineering oder Data Analytics (bei uns lernt man sowieso täglich dazu!) * Ein abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder vergleichbar (Master of Data Disaster Prevention)
mind. 2 Jahre Erfahrung im Bereich Business Intelligence, Data Engineering oder Data Analytics (bei uns lernt man sowieso täglich dazu!) * Ein abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder vergleichbar (Master of Data Disaster Prevention)
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In einem hochspezialisierten 4er-Team bringst du Theorie direkt in die Praxis und sicherst mit modernstem Geo-Data-Engineering die Energieversorgung von morgen. * Geo-Data-Management: Du bist die zentrale Schnittstelle für externe Partner und steuerst Anfragen über das bundesweite BIL-System sowie moderne WebMap-Services
In einem hochspezialisierten 4er-Team bringst du Theorie direkt in die Praxis und sicherst mit modernstem Geo-Data-Engineering die Energieversorgung von morgen. * Geo-Data-Management: Du bist die zentrale Schnittstelle für externe Partner und steuerst Anfragen über das bundesweite BIL-System sowie moderne WebMap-Services
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Werkstudent (m/w/d) – Künstliche Intelligenz & Agentenbasierte Systeme
Werkstudent (m/w/d) – Künstliche Intelligenz & Agentenbasierte Systeme
ASMPT GmbH & Co. KG
München
Teilweise Home-Office
Eingeschriebener Student in beispielsweise Informatik, Wirtschaftsinformatik, Data Science, AI, Engineering oder vergleichbar
Eingeschriebener Student in beispielsweise Informatik, Wirtschaftsinformatik, Data Science, AI, Engineering oder vergleichbar
Snowflake Data Engineer (all genders)
Snowflake Data Engineer (all genders)
adesso SE
Augsburg, Karlsruhe, Koblenz, München, Nürnberg, Saarbrücken, Stuttgart, Ulm, Walldorf
Anschreiben nicht erforderlich
Anforderungen verstehen und Kunden beraten: In Zusammenarbeit mit den Fachbereichen erarbeitest du konkrete Anforderungen an die Data Pipelines und berätst unsere Kunden zu Best Practices und Snowflake Data Engineering Features (wie z.B. OpenFlow, Snowpark, Snowpipe). * Datenstrecken entwickeln: Du konzipierst und entwickelst entlang der gesamten Pipeline und nutzt dafür z.B. Fivetran, dbt, Airflow, Matillion oder andere Tools des modernen Data Stacks * Data Management: Du hilfst unseren Kunden, strukturierte und verlässliche Datenprozesse aufzubauen: Einhaltung von Datenschutzrichtlinien, Definition von Data Governance Richtlinien, Implementierung von Datenzugriffs- und Sicherheitskonzepten. * Data Platform Kenntnisse: Du hast Erfahrung in Data Platform Projekten, idealerweise mit Snowflake und beherrschst Data Platform Konzepte ...
Anforderungen verstehen und Kunden beraten: In Zusammenarbeit mit den Fachbereichen erarbeitest du konkrete Anforderungen an die Data Pipelines und berätst unsere Kunden zu Best Practices und Snowflake Data Engineering Features (wie z.B. OpenFlow, Snowpark, Snowpipe). * Datenstrecken entwickeln: Du konzipierst und entwickelst entlang der gesamten Pipeline und nutzt dafür z.B. Fivetran, dbt, Airflow, Matillion oder andere Tools des modernen Data Stacks * Data Management: Du hilfst unseren Kunden, strukturierte und verlässliche Datenprozesse aufzubauen: Einhaltung von Datenschutzrichtlinien, Definition von Data Governance Richtlinien, Implementierung von Datenzugriffs- und Sicherheitskonzepten. * Data Platform Kenntnisse: Du hast Erfahrung in Data Platform Projekten, idealerweise mit Snowflake und beherrschst Data Platform Konzepte ...
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Teamlead Data Science / KI (all genders)
Teamlead Data Science / KI (all genders)
scieneers GmbH
Köln, Hamburg, Berlin, München, Karlsruhe
Teilweise Home-Office
Ein tiefes technisches Verständnis von Data Science, Data Engineering und KI bildet dabei das Fundament, mit dem Du das Vertrauen von Kunden und Mitarbeitenden gewinnst. Unser Projekt-Portfolio reicht von Datawarehouse und BI-Systemen über skalierbare Datenplattformen und Data Science Anwendungen bis zu kompletten Datenprodukten und Künstlicher Intelligenz. Zur Verstärkung unseres Führungsteams an einem unserer Standorte deiner Wahl (Karlsruhe, Köln, Hamburg, Berlin, München) suchen wir Dich als Teamlead Data Science / KI (all genders).
Ein tiefes technisches Verständnis von Data Science, Data Engineering und KI bildet dabei das Fundament, mit dem Du das Vertrauen von Kunden und Mitarbeitenden gewinnst. Unser Projekt-Portfolio reicht von Datawarehouse und BI-Systemen über skalierbare Datenplattformen und Data Science Anwendungen bis zu kompletten Datenprodukten und Künstlicher Intelligenz. Zur Verstärkung unseres Führungsteams an einem unserer Standorte deiner Wahl (Karlsruhe, Köln, Hamburg, Berlin, München) suchen wir Dich als Teamlead Data Science / KI (all genders).
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Partner with business stakeholders and data engineering teams to define project goals, technical requirements and delivery roadmaps - We're looking for a Senior/Lead Data Scientist to join our team in Munich, Berlin, Leipzig or Frankfurt, Germany, in a hybrid working mode. In this role, you will drive the development and deployment of state-of-the-art data and AI solutions within our IT professional services practice. You will combine deep technical expertise with strategic thinking and effective client engagement to deliver production-grade, high-impact data science outcomes. * Lead the design, development and deployment of innovative data and AI solutions that address complex business challenges * Engage with clients to communicate data and AI opportunities, risks and strategies in clear and accessible terms * Design and implement end-to-end data science workflows ensuring ...
Partner with business stakeholders and data engineering teams to define project goals, technical requirements and delivery roadmaps - We're looking for a Senior/Lead Data Scientist to join our team in Munich, Berlin, Leipzig or Frankfurt, Germany, in a hybrid working mode. In this role, you will drive the development and deployment of state-of-the-art data and AI solutions within our IT professional services practice. You will combine deep technical expertise with strategic thinking and effective client engagement to deliver production-grade, high-impact data science outcomes. * Lead the design, development and deployment of innovative data and AI solutions that address complex business challenges * Engage with clients to communicate data and AI opportunities, risks and strategies in clear and accessible terms * Design and implement end-to-end data science workflows ensuring ...
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Ensure robust data management and engineering practices. * Extensive experience with data management and engineering tools. * Shape and implement the company\'s data science strategy and drive innovation. * Identify opportunities to leverage data for business value and impact. * Design, build, and maintain scalable machine learning models and efficient data pipelines. * Master\'s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience * Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies * Strong background in data architecture and database management. Join us and help shape the future of data science!
Ensure robust data management and engineering practices. * Extensive experience with data management and engineering tools. * Shape and implement the company\'s data science strategy and drive innovation. * Identify opportunities to leverage data for business value and impact. * Design, build, and maintain scalable machine learning models and efficient data pipelines. * Master\'s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience * Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies * Strong background in data architecture and database management. Join us and help shape the future of data science!
NEU
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Strong background in Business Intelligence, Data Analytics, or Data Engineering. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors. You will build modern BI capabilities, drive automation across our core systems, and ensure that data becomes a strategic asset throughout the company. Together with our collaborative and interdisciplinary expert team, you will push the boundaries of unmanned systems and set new standards in data-driven intelligence and collection. Data‑Driven Decision Making - Turn complex business data into actionable insights using NetSuite, Jira, and Confluence. Provide leadership and teams with reliable, standardized data to support strategic and operational decisions.
Strong background in Business Intelligence, Data Analytics, or Data Engineering. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors. You will build modern BI capabilities, drive automation across our core systems, and ensure that data becomes a strategic asset throughout the company. Together with our collaborative and interdisciplinary expert team, you will push the boundaries of unmanned systems and set new standards in data-driven intelligence and collection. Data‑Driven Decision Making - Turn complex business data into actionable insights using NetSuite, Jira, and Confluence. Provide leadership and teams with reliable, standardized data to support strategic and operational decisions.
You have completed a degree/apprenticeship in the field of Business Administration, Data Analytics, Industrial Engineering, Information Systems, or a comparable area. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors. As Business Analyst, you will be a key part of our BI / Data Team to drive data‑enabled decision‑making across the organization. You will be working closely with from the Operations, Production, Engineering, Finance, and Supply Chain departments to understand their processes, identify analytical needs, and deliver impactful dashboards and KPI frameworks. By ensuring that data is accurate, accessible, standardized, and actively used, you contribute directly to achieving your ambitious goals — your mission ...
You have completed a degree/apprenticeship in the field of Business Administration, Data Analytics, Industrial Engineering, Information Systems, or a comparable area. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors. As Business Analyst, you will be a key part of our BI / Data Team to drive data‑enabled decision‑making across the organization. You will be working closely with from the Operations, Production, Engineering, Finance, and Supply Chain departments to understand their processes, identify analytical needs, and deliver impactful dashboards and KPI frameworks. By ensuring that data is accurate, accessible, standardized, and actively used, you contribute directly to achieving your ambitious goals — your mission ...
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Data Warehouse Engineer (m/w/d) Business Intelligence
Data Warehouse Engineer (m/w/d) Business Intelligence
DACHSER SE
Kempten, Neu-Isenburg, Unterschleißheim
Sie modellieren und erweitern Objekte (Tabellen, Views, Stored Procedures) in einem zentralen Data Warehouse * Sie unterstützen der Fachbereiche und verschiedene BI Frontends durch Bereitstellung von Datamarts oder Data Products * Im Rahmen von Requirements Engineering und Entwicklung arbeiten Sie interdisziplinär und in agilen Strukturen * Fundierte Erfahrung im Bereich Business Intelligence und/oder klassischem Data Warehousing sowie sehr gute SQL‑Kenntnisse mit (z. B. Oracle, MS SQL, Snowflake oder vergleichbare Systeme). * Mehrjährige praktische Erfahrung mit ETL-/ELT‑Tools wie Talend, NiFi, SSIS oder Azure Data Factory.
Sie modellieren und erweitern Objekte (Tabellen, Views, Stored Procedures) in einem zentralen Data Warehouse * Sie unterstützen der Fachbereiche und verschiedene BI Frontends durch Bereitstellung von Datamarts oder Data Products * Im Rahmen von Requirements Engineering und Entwicklung arbeiten Sie interdisziplinär und in agilen Strukturen * Fundierte Erfahrung im Bereich Business Intelligence und/oder klassischem Data Warehousing sowie sehr gute SQL‑Kenntnisse mit (z. B. Oracle, MS SQL, Snowflake oder vergleichbare Systeme). * Mehrjährige praktische Erfahrung mit ETL-/ELT‑Tools wie Talend, NiFi, SSIS oder Azure Data Factory.
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SSBI Head Data Infrastructure & Initiatives, Vice President
SSBI Head Data Infrastructure & Initiatives, Vice President
State Street Bank International GmbH
München
Familiar with automated data quality management (e.g., using ETL, aggregated dashboards, or specialized data quality tools), documentation of Data Sharing Agreements, Data Traceability for Business Intelligence and Datawarehouse Re-engineering is a plus. “SSBI Head Data Infrastructure & Initiatives” is a role that reports to the SSBI Chief Data Officer. * Provide operational BCBS 239 expertise to support stakeholders in business and IT driven projects to ensure BCBS 239 aspects are integrated and implemented solutions are compliant with BCBS 239 regulatory expectations (e.g., data traceability, report production process automation and data manipulation auditability). * Deliver data infrastructure-related programs in SSBI. * Provide guidance to business and technical teams to support adoption of data governance standards leveraging enterprise data governance tools and best practices.
Familiar with automated data quality management (e.g., using ETL, aggregated dashboards, or specialized data quality tools), documentation of Data Sharing Agreements, Data Traceability for Business Intelligence and Datawarehouse Re-engineering is a plus. “SSBI Head Data Infrastructure & Initiatives” is a role that reports to the SSBI Chief Data Officer. * Provide operational BCBS 239 expertise to support stakeholders in business and IT driven projects to ensure BCBS 239 aspects are integrated and implemented solutions are compliant with BCBS 239 regulatory expectations (e.g., data traceability, report production process automation and data manipulation auditability). * Deliver data infrastructure-related programs in SSBI. * Provide guidance to business and technical teams to support adoption of data governance standards leveraging enterprise data governance tools and best practices.
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Degree in Computer Science or equivalent, with 8+ years of experience in software development and solution architecture, preferably in data analytics and AI * Strong command of modern software engineering and architecture practices (Clean Code, event-driven systems, architecture frameworks), combined with a structured, self-directed working style and strong problem-solving skills * Proficiency in Python and experience with React, TypeScript, and modern data science methods is an advantage
Degree in Computer Science or equivalent, with 8+ years of experience in software development and solution architecture, preferably in data analytics and AI * Strong command of modern software engineering and architecture practices (Clean Code, event-driven systems, architecture frameworks), combined with a structured, self-directed working style and strong problem-solving skills * Proficiency in Python and experience with React, TypeScript, and modern data science methods is an advantage
We are seeking an experienced SAP AI Engineering Architect (f/m/d) to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. * Leverage SAP BTP capabilities for data orchestration, analytics, and machine learning model deployment. * Ensure compliance with data governance, security standards, and SAP best practices. * Bachelor's or Master's degree in Computer Science, Engineering, or related field and/or 10 years expertise in various applicable technical roles. * Familiarity with SAP HANA Cloud, SAP Data Intelligence, and SAP Analytics Cloud, Vector Engines, Knowledge Graphs, A2A and MCP technologies. * Knowledge of data governance, security best practices, and SAP Fiori application development. * An AI Powered Mindset and understanding of Generative AI & Prompt Engineering.
We are seeking an experienced SAP AI Engineering Architect (f/m/d) to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. * Leverage SAP BTP capabilities for data orchestration, analytics, and machine learning model deployment. * Ensure compliance with data governance, security standards, and SAP best practices. * Bachelor's or Master's degree in Computer Science, Engineering, or related field and/or 10 years expertise in various applicable technical roles. * Familiarity with SAP HANA Cloud, SAP Data Intelligence, and SAP Analytics Cloud, Vector Engines, Knowledge Graphs, A2A and MCP technologies. * Knowledge of data governance, security best practices, and SAP Fiori application development. * An AI Powered Mindset and understanding of Generative AI & Prompt Engineering.