52 Jobs für Predictive Analytics Infrastructure Engineer
Stellenangebote Predictive Analytics Infrastructure Engineer Jobs
Job am 18.01.2026 bei Jooble gefunden
General Dynamics Information Technology
• Wiesbaden
[. .. ] Defenses mission to keep our country safe and secure. Job Description Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As [...]
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[...] a Cloud Data Engineer at GDIT, youll power innovation to drive mission impact and grow your expertise to power your career forward. MEANINGFUL WORK AND PERSONAL IMPACT GDIT is seeking a skilled Cloud Data Engineer with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services [. .. ] data inventories, delivering critical insights to customers. Performing analysis and supporting the migration of modern databases, data processing services, data architecture, and data storage solutions. Developing BI reports, dashboards, and predictive analytics using tools such as Power BI, Tableau, AWS Quick Sight, Micro Strategy, and others. Generating and delivering data inventory reports to customers as part of project deliverables. WHAT YOULL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer Senior must have: Education: Bachelors degree in computer science, Information Technology, or a related field. Experience: 3-4 years of hands-on experience in a cloud engineering role. Technical skills: Proven experience with Infrastructure as Code (Ia C) tools, specifically Terraform for provisioning and managing cloud infrastructure; Hands-on expertise with Ansible for configuration management and automation of IT environments; Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems; Proficiency in deploying and managing Kubernetes and/or [. .. ]
Job am 14.01.2026 bei Jooble gefunden
taod Consulting GmbH
Data Engineer/ Scientist (m/w/d)
• Köln
Homeoffice möglich Abgeschlossenes Studium
Flexible Arbeitszeiten Betriebliche Altersvorsorge
Data
Engineer/ Scientist (m/w/d) Wir suchen an unseren Standorten in Köln und Stuttgart dataful minds. Mit unserer Leidenschaft für Data
Analytics und AI helfen wir innovativen Unternehmen, den Wert ihrer [...]
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[...] Daten nutzbar zu machen. Dazu gehört ein modernes Consulting-Umfeld, agile Projekte sowie starke Technologie-Partner. Du hast Lust auf Daten, Spaß an Beratung und möchtest deine Karriere aktiv vorantreiben? Bei uns startest du direkt in vielseitige Projekte, lernst ständig dazu [. .. ] unsere Kunden von den Potenzialen im Data-Umfeld begeistern. Cloud-Datenprojekte: Konzipiere, entwickle und betreibe skalierbare und sichere Datenmanagement-Lösungen im Cloud-Umfeld mit Fokus auf softwaregetriebene Architektur, Automatisierung und Infrastructure as Code. Softwarelösungen für Analytics AI Use Cases: Übernehme Verantwortung in Projekten im Bereich Big Data, Machine Learning und Predictive Analytics durch die Entwicklung datengetriebener Applikationen, APIs und Services idealerweise auch unter Einsatz von Azure Open AI Services. Innovative Datenarchitektur: Baue fortschrittliche Datenarchitekturen (z. B. auf Basis von Microsoft Azure, Snowflake oder Databricks) auf und entwickle diese kontinuierlich weiter Beratung und Workshops: Berate unsere Kunden und führe Workshops zur Anforderungsanalyse und [. .. ]
Job vor 12 Tagen bei Jooble gefunden
adidas
• Herzogenaurach
[. .. ] Overall Relevance for the Organization: This role designs and delivers secure, scalable LAN, WLAN, and WAN solutions while defining and enforcing global network standards. It provides deep [...]
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[...] expertise in Cisco infrastructure and cloud firewall platforms, working closely with Network Operations and vendors to ensure stable, high-quality service. The role translates business needs into clear technical requirements, acceptance criteria, and test plans, and leads end-to-end testing and pilots of new solutions. It governs configuration, patching, CMDB, and change management, [. .. ] software engineering Designs, codes, verifies, tests, documents, amends, and refactors complex programs/ scripts and integration software services. Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/ agile) approaches. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues work. System design Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Identifies and evaluates alternative [. .. ] structures, to evaluate alternative options. Implements physical database designs to support transactional data requirements for performance and availability. Implements data warehouse designs that support demands for business intelligence and data analytics. Testing Reviews requirements and specifications and defines test conditions. Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes. Analyses and reports test activities and results. Identifies and reports issues and risks associated with own work. Systems integration and build Defines [. .. ]
Job vor 13 Tagen bei Jooble gefunden
adidas
Platform Engineer-Network Infrastructure Security (m/f/d)
• Herzogenaurach
[. .. ] Overall Relevance for the Organization: This role designs and delivers secure, scalable LAN, WLAN, and WAN solutions while defining and enforcing global network standards. It provides deep [...]
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[...] expertise in Cisco infrastructure and cloud firewall platforms, working closely with Network Operations and vendors to ensure stable, high-quality service. The role translates business needs into clear technical requirements, acceptance criteria, and test plans, and leads end-to-end testing and pilots of new solutions. It governs configuration, patching, CMDB, and change management, [. .. ] software engineering Designs, codes, verifies, tests, documents, amends, and refactors complex programs/ scripts and integration software services. Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/ agile) approaches. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues work. System design Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Identifies and evaluates alternative [. .. ] structures, to evaluate alternative options. Implements physical database designs to support transactional data requirements for performance and availability. Implements data warehouse designs that support demands for business intelligence and data analytics. Testing Reviews requirements and specifications and defines test conditions. Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes. Analyses and reports test activities and results. Identifies and reports issues and risks associated with own work. Systems integration and build Defines [. .. ]
Job am 21.01.2026 bei Jooble gefunden
Huawei Research Center Germany Austria
• Nürnberg
[. .. ] Electronics technologies to provide customers with high-quality, energy-efficient, green, and low-carbon power electronics products, facilitating their business success We are seeking a highly skilled and motivated Data [...]
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[...] Engineer with a strong foundation in data engineering and Energy Storage System (ESS) technology to join our growing energy storage team at Ohm Research Center in Nuremberg. This role combines expertise in building scalable data infrastructure with advanced AI models integration to support cutting-edge analytics and intelligent systems for Energy Storage System application. Candidates with a M. Sc. in Computer Science, Data Engineering, AI, Energy Technology, or related fields are highly encouraged to apply. Join us as a Data Engineer: Battery Analytics Energy Storage Systems-Leased Labor (18-month) (m/f/d) Your mission Design, [. .. ] optimize data architectures for AI use cases, including feature stores and model training pipelines. Apply AI/ ML techniques to Energy Storage System applications, including So X estimation approaches, Energy Trading, and predictive analytics for Big Data analysis. Contribute to research-based initiatives such as model experimentation tracking, auto ML workflows, or federated learning infrastructure. Ensure data integrity, quality, and security throughout the pipeline lifecycle. Provide contribute to the design of AI-infused data platforms. Your areas of expertise Master s with extensive experience [. .. ]
Job am 18.01.2026 bei Jooble gefunden
General Dynamics Information Technology
Cloud Data Engineer-Senior
• Wiesbaden
Data Science and Data Engineering Data Architecture Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As a Cloud Data
Engineer at GDIT, youll [...]
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[...] power innovation to drive mission impact and grow your expertise to power your career forward. GDIT is seeking a skilled Cloud Data Engineer with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services (EMITS) program. Army Europe and [. .. ] data inventories, delivering critical insights to customers. Performing analysis and supporting the migration of modern databases, data processing services, data architecture, and data storage solutions. Developing BI reports, dashboards, and predictive analytics using tools such as Power BI, Tableau, AWS Quick Sight, Micro Strategy, and others. Generating and delivering data inventory reports to customers as part of project deliverables. The Data Engineer Senior must have: Bachelors degree in computer science, Information Technology, or a related field. Experience: 3-4 years of hands-on experience in a cloud engineering role. Proven experience with Infrastructure as Code (Ia C) tools, specifically Terraform for provisioning and managing cloud infrastructure; Hands-on expertise with Ansible for configuration management and automation of IT environments; Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems; Experience with Amazon S3, Athena, Glue ETL, Redshift, [. .. ]
Job am 18.01.2026 bei Jooble gefunden
General Dynamics Information Technology
• Wiesbaden
Data Science and Data Engineering Data Architecture Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As a Cloud Data
Engineer at GDIT, youll [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] power innovation to drive mission impact and grow your expertise to power your career forward. GDIT is seeking a skilled Cloud Data Engineer with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services (EMITS) program. Army Europe and [. .. ] data inventories, delivering critical insights to customers. Performing analysis and supporting the migration of modern databases, data processing services, data architecture, and data storage solutions. Developing BI reports, dashboards, and predictive analytics using tools such as Power BI, Tableau, AWS Quick Sight, Micro Strategy, and others. Generating and delivering data inventory reports to customers as part of project deliverables. The Data Engineer Senior must have: Bachelors degree in computer science, Information Technology, or a related field. Experience: 3-4 years of hands-on experience in a cloud engineering role. Proven experience with Infrastructure as Code (Ia C) tools, specifically Terraform for provisioning and managing cloud infrastructure; Hands-on expertise with Ansible for configuration management and automation of IT environments; Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems; Experience with Amazon S3, Athena, Glue ETL, Redshift, [. .. ]
Job am 16.01.2026 bei Jooble gefunden
Shiftmove
(Senior) Data Analyst/ Engineer (m/w/d)
• Berlin
Homeoffice möglich
[. .. ] this, were looking for a Senior GTM Data Analyst (f/m/d) to join our Revenue Operations team In this role, youll sit at the intersection of data science, [...]
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[...] BI analytics, and Saa S GTM strategy, owning our Tableau platform end-to-end, and driving our BI strategy. As such, youll work alongside Data Engineers and BI Analysts but take point on analytics strategy, storytelling, and execution, ensuring our Saa S GTM teams always have clarity on performance, risks, and opportunities. BI Ownership [. .. ] from executives to front-line managers Analytics Data Science: Own end to end GTM analytics (funnel, pipeline, conversion, churn/ retention, CARR, NRR, GRR, LTV/ CAC) and apply techniques such as predictive modeling, cohort analysis, segmentation, and forecasting Data Infrastructure Governance: Partner with Data Engineers on pipelines/ models across Salesforce, marketing automation, finance, and product usage; ensure data quality and governance with modern data stack Multiple years of hands-on experience in BI/ Data Science/ GTM analytics. Strong Tableau Expertise: Proven ability to own dashboards end-to-end, including design, [. .. ]
Job am 14.01.2026 bei Jooble gefunden
KI performance
• München
At KI performance (Permanent) , in Multiple Locations Expires at: 2026-09-29 Remote policy: Partial remote As a AI
Engineer, you play a key role in designing and implementing state-of-the-art [...]
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[...] AI solutions. You are responsible for the entire AI lifecycle-from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 14.01.2026 bei Jooble gefunden
KI performance
Engineer gezocht
• München
At KI performance (Permanent) , in Multiple Locations Expires at: 2026-09-29 Remote policy: Partial remote As a AI
Engineer, you play a key role in designing and implementing state-of-the-art [...]
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[...] AI solutions. You are responsible for the entire AI lifecycle-from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 14.01.2026 bei Jooble gefunden
KI performance
• München
At KI performance (Permanent) , in Multiple Locations Expires at: 2026-09-29 Remote policy: Partial remote As a AI
Engineer, you play a key role in designing and implementing state-of-the-art [...]
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[...] AI solutions. You are responsible for the entire AI lifecycle-from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 14.01.2026 bei Jooble gefunden
KI performance
Technisch engineer.
• München
At KI performance (Permanent) , in Multiple Locations Expires at: 2026-09-29 Remote policy: Partial remote As a AI
Engineer, you play a key role in designing and implementing state-of-the-art [...]
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[...] AI solutions. You are responsible for the entire AI lifecycle-from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 14.01.2026 bei Jooble gefunden
KI performance
• München
At KI performance (Permanent) , in Multiple Locations Expires at: 2026-09-29 Remote policy: Partial remote As a AI
Engineer, you play a key role in designing and implementing state-of-the-art [...]
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[...] AI solutions. You are responsible for the entire AI lifecycle-from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 14.01.2026 bei Jooble gefunden
KI group GmbH
(Senior) AI Engineer (m/w/d)
• Stuttgart
Become our new ( Senior) AI
Engineer (m/f/d) Are you passionate about AI and cutting-edge technologies? Do you want to help companies leverage AI to create real business impact? [...]
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[...] Are you ambitious, solution-oriented, and eager to work at the intersection of data engineering, machine learning, and cloud technology? Then join our team at [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 14.01.2026 bei Jooble gefunden
AXO Track GmbH
• Berlin
About Us At AXO Track Gmb H, we digitize existing railway
infrastructure to make it safer, more efficient, and more sustainable. Using Io T-based
predictive maintenance technologies, we [...]
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[...] develop solutions that monitor track systems in real time enabling smarter rail operations and contributing to climate protection. Were a growing Deep Tech company with a clear mission: to modernize rail transport through innovation. Join our international team and help shape the future of rail mobility Your [. .. ] device profiles, attributes, and telemetry streams Ensure secure device provisioning (tokens, certificates) Data Processing Monitoring Configure telemetry storage and aggregation (Postgre SQL/ Timescale DB) Implement alarms, notifications, and data filtering Integrate external analytics tools (e. g. Python, Grafana) Backend System Integration Work with the Things Board REST API and SDKs (Python/ Java) Develop custom microservices when additional business logic is required Operate and improve the platform in Linux and Docker-based environments Your Profile Strong knowledge of Io T protocols (MQTT, Co AP) Hands-on [. .. ]
Neu Job vor 6 Std. bei Jobleads gefunden
Full Stack Developer (AWS, NextJS, Python)
• Zürich Zuerich
Work-Life-Balance
[. .. ] fires before they start. Our advanced infrared camera systems and AI-driven monitoring solutions help manufacturers protect people, assets, and the environment from devastating fire risks. As a [...]
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[...] Full Stack Engineer, you are the architect of the platform that bridges our cutting-edge hardware with the industrial leaders who depend on it. You arent just building a dashboard; you are building the mission-control center for global fire prevention. Why this role matters: Our hardware detects the heat, but our software delivers the cure. You will build the scalable B2B infrastructure that handles real-time alerts, complex multi-tenant architectures, and the seamless upgrade-to-protect paths that allow our business to scale. If the platform lags, a fire goes unnoticed. We need an engineer who builds for 100 reliability and understands that software is the backbone of safety. What youll [. .. ] building. Equity: Meaningful equity participation in a company protecting global industries. Elite Peers: Work alongside world-class CV/ ML engineers in a high-intensity environment. About Us Early Fire Prevention. Predictive Power. Avians Swiss-engineered thermal cameras provide mission-critical protection for high-risk industrieswood, recycling, paper, and beyondby spotting anomalies before they escalate. Our AI-driven system has already stopped thousands of fires in real operations, saving facilities from catastrophic loss. With the worlds largest dataset of real fire events, Avian delivers unmatched accuracy, instant alerts (SMS, Whats App, phone) , and PLC-based automatic shutdowns. Beyond fire safety, our predictive maintenance analytics extend equipment lifetime, reduce downtime, and keep your facility insurable. #J-18808-Ljbffr 79962847 [. .. ]
Job vor 2 Tagen bei Jobleads gefunden
• Herzogenaurach, Bayern
[. .. ] Overall Relevance for the Organization: This role designs and delivers secure, scalable LAN, WLAN, and WAN solutions while defining and enforcing global network standards. It provides deep [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] expertise in Cisco infrastructure and cloud firewall platforms, working closely with Network Operations and vendors to ensure stable, high-quality service. The role translates business needs into clear technical requirements, acceptance criteria, and test plans, and leads end-to-end testing and pilots of new solutions. It governs configuration, patching, CMDB, and change management, [. .. ] software engineering Designs, codes, verifies, tests, documents, amends, and refactors complex programs/ scripts and integration software services. Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/ agile) approaches. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues work. System design Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Identifies and evaluates alternative [. .. ] structures, to evaluate alternative options. Implements physical database designs to support transactional data requirements for performance and availability. Implements data warehouse designs that support demands for business intelligence and data analytics. Testing Reviews requirements and specifications and defines test conditions. Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes. Analyses and reports test activities and results. Identifies and reports issues and risks associated with own work. Systems integration and build Defines [. .. ]
Job vor 3 Tagen bei Jobleads gefunden
Data Engineer 1B Revenue Global Industrial Technology Company Azure, Fabric AI
• Bielefeld, Nordrhein- Westfalen
Data
Engineer 1B Revenue Global Industrial Technology Company Azure, Fabric AI AI Futures has been exclusively retained by a global industrial technology company operating at the heart of Industry [...]
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[...] 4.0 to hire a Data Engineer for its AI Co E. The company is a profitable, family-owned German Mittelstand organisation with 1B annual revenue, operations in 80+ countries, and a long-standing reputation for combining industrial hardware with advanced software and digital platforms. Data and AI play a central role in enabling predictive maintenance, digital twins, and operational efficiency across manufacturing and energy customers worldwide. This role sits in a central AI Co E, responsible for building and scaling enterprise-wide data and AI platforms. Its a handson data engineering position with strong exposure to analytics, machine learning, and Gen AI, and clear longterm progression into technical leadership. Locations: Detmold ( 2 days per week) Salary: 8090k fixed, depending on experience. The Role As a Data Engineer, you will build and operate the data foundations that enable analytics, ML, and Gen AI use cases across the organisation. You [. .. ] Synapse) Very good SQL skills and experience with No SQL data stores Experience building and operating productiongrade data pipelines Familiarity with APIs and interfaces (REST, ODBC/ JDBC) Experience with CI/ CD, Infrastructure as Code, and containerisation is a strong plus A strong focus on data quality, reliability, and scalability Fluent German (C1+) and good English Why This Role? Key role in a central AI Co E Direct exposure to AI, ML, and Gen AI use cases Modern Azurefirst data and AI stack (Fabric, Databricks, [. .. ]
Job vor 6 Tagen bei Jobleads gefunden
• Herzogenaurach, Bayern
[. .. ] recruitment process. Purpose Overall Relevance This role designs and delivers secure, scalable LAN, WLAN, and WAN solutions while defining and enforcing global network standards. It provides deep [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] expertise in Cisco infrastructure and cloud firewall platforms, working closely with Network Operations and vendors to ensure stable, high-quality service. The role translates business needs into clear technical requirements, acceptance criteria, and test plans, and leads end-to-end testing and pilots of new solutions. It governs configuration, patching, CMDB, and change management, [. .. ] software engineering Designs, codes, verifies, tests, documents, amends, and refactors complex programs/ scripts and integration software services. Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/ agile) approaches. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues work. System design Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Identifies and evaluates alternative [. .. ] structures, to evaluate alternative options. Implements physical database designs to support transactional data requirements for performance and availability. Implements data warehouse designs that support demands for business intelligence and data analytics. Testing Reviews requirements and specifications and defines test conditions. Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes. Analyses and reports test activities and results. Identifies and reports issues and risks associated with own work. Systems integration and build Defines [. .. ]
Job am 23.01.2026 bei Jobleads gefunden
(Senior) AI Engineer
• Köln, Nordrhein- Westfalen
Join to apply for the (Senior) AI
Engineer role at KI performance Gmb H Join to apply for the (Senior) AI Engineer role at KI performance Gmb H Are [...]
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[...] you passionate about AI and cutting-edge technologies? Do you want to help companies leverage AI to create real business impact? Are you ambitious, solution-oriented, and eager to work at [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations Implement [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies, RAG, chunking, vectorizing and Vector DBs. [. .. ]
Job am 23.01.2026 bei Jobleads gefunden
Data Engineer: Battery Analytics Energy Storage Systems-Leased Labor (18-month)
• Nürnberg, Bayern
[. .. ] and Power Electronics technologies to provide customers with high-quality, energyefficient, green, and lowcarbon power electronics products, facilitating their business success. We are seeking a highly skilled and [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] motivated Data Engineer with a strong foundation in data engineering and Energy Storage System (ESS) technology to join our growing energy storage team at Ohm Research Center in Nuremberg. This role combines expertise in building scalable data infrastructure with advanced AI models integration to support cuttingedge analytics and intelligent systems for Energy Storage System application. Candidates with a M. Sc. in Computer Science, Data Engineering, AI, Energy Technology, or related fields are highly encouraged to apply. Data Engineer: Battery Analytics Energy Storage Systems-Leased Labor (18month) (m/f/d) Your mission Design, build, and maintain scalable and [. .. ] optimize data architectures for AI use cases, including feature stores and model training pipelines. Apply AI/ ML techniques to Energy Storage System applications, including So X estimation approaches, Energy Trading, and predictive analytics for Big Data analysis. Contribute to researchbased initiatives such as model experimentation tracking, auto ML workflows, or federated learning infrastructure. Ensure data integrity, quality, and security throughout the pipeline lifecycle. Provide contribute to the design of AIinfused data platforms. Your areas of expertise Masters with extensive experience in Computer Science, [. .. ]
Job am 18.01.2026 bei Jobleads gefunden
Director Business Intelligence
• Berlin
Führungs-/ Leitungspositionen
[. .. ] standards while ensuring BI platforms and data assets comply with security, privacy, and regulatory requirements across regions. Establish rigorous data quality, observability, and reliability standards to build [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] sustained trust in analytics and reporting. Own vendor relationships and the BI budget, focusing on Total Cost of Ownership and Databricks compute efficiency. Oversee and ensure timely delivery of month-end data while implementing automation to streamline processes and improve long-term efficiency. Champion the use of AI and advanced analytics to automate insights, [. .. ] while maintaining governance. Lead organizational change management and data literacy initiatives to drive adoption of self-service BI and analytics across the business. Lead and mentor a global team of engineer and analyst professionals, transitioning the function from manual data processing to high-value strategic innovation. Qualifications Required Skilled at leading distributed, high-performing teams through organizational change, platform migrations, and tool modernizations, while fostering a culture of collaboration, data literacy, and innovation. Proven track record of leading global BI functions within technology companies. Deep understanding of modern data stacks, specifically Databricks. Experience leading teams through organizational change, platform migrations, and tool deprecations. Exceptional ability to translate complex data infrastructure concepts into clear business value for non-technical senior leadership. Experience managing remote/ distributed teams across multiple time zones. Degree in a quantitative field (Mathematics, CS, Data Science) or equivalent professional experience. You dont just build reports; you build systems that scale and solve long-term business problems. You can [. .. ] standard. You are comfortable leading through ambiguity and can pivot strategies as business priorities evolve. Nice to Have Strategic oversight or hands-on experience in implementing AI-driven automation and predictive analytics within a BI function. Experience managing distributed teams across multiple time zones and cultures. Familiarity with the digital insights, market research, or programmatic space. Additional Information #LI-JC1 Our Values Collaboration is our superpower We uncover rich perspectives across the world Success happens together Innovation is in our [. .. ]
Job am 11.01.2026 bei Jobleads gefunden
IoT Developer/ Things Board Engineer (m/f/x)
• Berlin
Io T Developer/ Things Board
Engineer (m/f/x) 2 days ago Be among the first 25 applicants About Us At AXO Track Gmb H, we digitize existing railway
infrastructure [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] to make it safer, more efficient, and more sustainable. Using Io T-based predictive maintenance technologies, we develop solutions that monitor track systems in real time enabling smarter rail operations and contributing to climate protection. Were a growing Deep Tech company with a clear mission: to modernize rail transport through innovation. Join our international team and help shape the future of rail mobility Your [. .. ] plugins. Device Data Integration Connect Io T devices via MQTT, HTTP, or Co AP protocols. Manage device profiles, attributes, and telemetry streams. Maintain device provisioning and security (certificates, tokens) . Data Processing Analytics Configure telemetry storage and aggregation (Postgre SQL/ Timescale DB) . Implement rule chains for alarms, notifications, and data filtering. Support integration with external analytics platforms (Python, Grafana, etc. ) . Backend API Development Work with Things Board REST API and SDKs (Python/ Java) for automation and integration. Develop custom microservices when additional [. .. ]
Job am 21.12.2025 bei Jobleads gefunden
(Senior) AI Engineer (m/w/d)
• Stuttgart, Baden- Württemberg
AI
Engineer (m/f/d) Are you passionate about AI and cuttingedge technologies? Do you want to help companies leverage AI to create real business impact? Are you ambitious, solutionoriented, and [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] eager to work at the intersection of data engineering, machine learning, and cloud technology? Then join our team at KI performance [. .. ] cloud technologies on Microsoft Azure. Your Responsibilities Endto End AI Development Build and optimise AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimisation, and NLP. Generative AI Build, integrate and optimise Large Language Models (LLM) , including Textto Speech (TTS) and Speechto Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations Implement scalable [. .. ] platforms/ APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Handson experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerisation with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 21.12.2025 bei Jobleads gefunden
Europe DCS Engineer
• Iserlohn, Nordrhein- Westfalen
[. .. ] look, youll find products enabled by Bakelite, from stronger homes to safer automobiles and everywhere in between. With more than 100 years of history and strong customer [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] relationships, we boldly engineer sustainable products to tackle our worlds most challenging demands. Join Our Team and Help Us Build a Stronger, Safer, Better World. Its Better with Bakelite. (all genders) What does a typical day look like? These are your main tasks: Asset Materials Standardisation: Develop and implement the Bakelite Europe Asset Materials [. .. ] control and safeguarding systems across multiple vendors. Mitigate obsolescence risks and long lead times through strategic parts contracts. Improve energy efficiency and reduce production costs. Minimize downtime risk from DCS infrastructure failures Major EC I Project Design Process Control Own the development of Process Narratives, FDS/ HDS, I/ O Lists, Logic C E Diagrams, FAT/ SAT, and Commissioning Plans. Ensure successful delivery of EI and DCS capital programs. Process Control Programming Troubleshooting Lead commissioning of automation systems and reduce external programming [. .. ] Batch Recipe Production Sequence Optimization Drive the optimization of batch recipes and production sequences to support OEE initiatives. Drive cost savings and improve production efficiency through in-house programming. Data Analytics Program Working with the EU Engineering team implement and manage analytics tools across European sites. Apply process control and instrumentation expertise to enhance data insights. Reduce material rework and quality issues Enable online water content testing for foam resins. Support the OEE Pillar on DCS initiatives. AI-Based Software Trials [. .. ] trials of AI technologies for new product development and process optimization. Collaborate with internal and external AI/ data specialists. Enable real-time data migration and AI-driven decision-making. Strengthen predictive capabilities and digital maturity across operations. What is required to be successful in this role? Bachelors or Masters degree in Process Control, Automation, Electrical Engineering, or related field. 10+ years in process control and automation within manufacturing environments. Proven leadership in capital project execution and analytics program management. Experience with [. .. ]
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Wieviel verdient man als Predictive Analytics Infrastructure Engineer pro Jahr?
Als Predictive Analytics Infrastructure Engineer verdient man zwischen EUR 60.000,- bis EUR 90.000,- im Jahr.
Wieviele offene Stellenangebote gibt es für Predictive Analytics Infrastructure Engineer Jobs bei unserer Jobsuche?
Aktuell gibt es auf JobRobot 52 offene Stellenanzeigen für Predictive Analytics Infrastructure Engineer Jobs.
Wieviele Unternehmen suchen nach Bewerbern für Predictive Analytics Infrastructure Engineer Jobs?
Aktuell suchen 13 Unternehmen nach Bewerbern für Predictive Analytics Infrastructure Engineer Jobs.
Welche Unternehmen suchen nach Bewerbern für Predictive Analytics Infrastructure Engineer Stellenangebote?
Aktuell suchen zum Beispiel folgende Unternehmen nach Bewerbern für Predictive Analytics Infrastructure Engineer Stellenangebote:
- nova Capta (11 Jobs)
- KI performance (5 Jobs)
- General Dynamics Information Technology (3 Jobs)
- taod Consulting GmbH (2 Jobs)
- adidas (2 Jobs)
- Huawei Research Center Germany Austria (2 Jobs)
In welchen Bundesländern werden die meisten Predictive Analytics Infrastructure Engineer Jobs angeboten?
Die meisten Stellenanzeigen für Predictive Analytics Infrastructure Engineer Jobs werden derzeit in Bayern (8 Jobs), Nordrhein-Westfalen (5 Jobs) und Baden-Württemberg (4 Jobs) angeboten.
Zu welchem Berufsfeld gehören Predictive Analytics Infrastructure Engineer Jobs?
Predictive Analytics Infrastructure Engineer Jobs gehören zum Berufsfeld Internet & Web.
