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63 results for Data modelling jobs in Rotselaar within a 30 km radius
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Data governance & quality expert
Data governance & quality expert
Crelan NV
Wij werken met hybride setup tussen Antwerpen en Brussel in combinatie met thuiswerk
Partially remote
Crelan staat voor een belangrijke versnelling in haar ambities rond data en artificiële intelligentie. De Crelan Groep (inclusief Europabank) kiest resoluut voor een toekomst waarin data en AI centraal staan in besluitvorming en operationele processen. * in de modernisering van onze data-architectuur, met de uitbouw van een nieuw dataplatform als “single source of truth”, * in performante tools voor (reglementaire) rapportering, datakwaliteitsbeheer en data governance, en in de aanpassing van onze organisatie (teams, policies en processen) aan een data-gedreven manier van werken. Het Data Governance & Quality team speelt hierin een sleutelrol. Samen leggen we de fundamenten die nodig zijn om duurzame waarde te creëren met data en AI. * de documentatie van duizenden data-assets, * de herziening van onze Data & AI policies, * en een versterkte governance rond data, rapportering, analytics en AI.
Crelan staat voor een belangrijke versnelling in haar ambities rond data en artificiële intelligentie. De Crelan Groep (inclusief Europabank) kiest resoluut voor een toekomst waarin data en AI centraal staan in besluitvorming en operationele processen. * in de modernisering van onze data-architectuur, met de uitbouw van een nieuw dataplatform als “single source of truth”, * in performante tools voor (reglementaire) rapportering, datakwaliteitsbeheer en data governance, en in de aanpassing van onze organisatie (teams, policies en processen) aan een data-gedreven manier van werken. Het Data Governance & Quality team speelt hierin een sleutelrol. Samen leggen we de fundamenten die nodig zijn om duurzame waarde te creëren met data en AI. * de documentatie van duizenden data-assets, * de herziening van onze Data & AI policies, * en een versterkte governance rond data, rapportering, analytics en AI.
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Inzetten van AI coding assistants en Model Context Protocol (MCP)-servers om pipeline-ontwikkeling, test-generatie en data-integratie te versnellen. Ben jij gepassioneerd over het omzetten van complexe data in bruikbare inzichten en het bouwen van de backbone voor geavanceerde AI/ML-oplossingen? Bij Vectr Groep bouwen we al jaren de data- en AI-fundamenten van organisaties die het verschil willen maken. Als Data engineer werk je aan projecten zoals Nike, waar we de rapporterings- en datalaag op Databricks en Snowflake bouwen voor de Nike-dataplatformen. Bij VDAB bouwden we zes jaar lang mee aan schaalbare data & AI producten. En bij DMOW realiseerden we predictief onderhoud op sluis Evergem door 40 sensoren op sluisdeuren te koppelen aan operationele data voor Structural Health Monitoring van Vlaamse sluizen.
Inzetten van AI coding assistants en Model Context Protocol (MCP)-servers om pipeline-ontwikkeling, test-generatie en data-integratie te versnellen. Ben jij gepassioneerd over het omzetten van complexe data in bruikbare inzichten en het bouwen van de backbone voor geavanceerde AI/ML-oplossingen? Bij Vectr Groep bouwen we al jaren de data- en AI-fundamenten van organisaties die het verschil willen maken. Als Data engineer werk je aan projecten zoals Nike, waar we de rapporterings- en datalaag op Databricks en Snowflake bouwen voor de Nike-dataplatformen. Bij VDAB bouwden we zes jaar lang mee aan schaalbare data & AI producten. En bij DMOW realiseerden we predictief onderhoud op sluis Evergem door 40 sensoren op sluisdeuren te koppelen aan operationele data voor Structural Health Monitoring van Vlaamse sluizen.
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Als Program Manager Data speel je een sleutelrol bij de uitvoering van de datastrategie. Je rapporteert aan de Chief Data Officer (CDO). • Je zorgt ervoor dat de strategische en operationele doelstellingen correct worden vertaald naar de jaarlijkse projectroadmap, in samenwerking met de Data Solution Managers en hun BI- en AI-teams. • Je rapporteert de prestaties van de Scrum-teams en volgt de uitvoering van de data-roadmap op. • Je ondersteunt de CDO bij strategische prioriteiten of transversale dossiers (op het gebied van regelgeving, organisatie en transformatie) en bij de coördinatie van complexe materies waarbij meerdere interne en externe stakeholders betrokken zijn (Health Data Agency, InterMutualistisch Agentschap...). • Je ondersteunt de Data Governance-teams bij het opstellen en implementeren van de Policies & Standards data.
Als Program Manager Data speel je een sleutelrol bij de uitvoering van de datastrategie. Je rapporteert aan de Chief Data Officer (CDO). • Je zorgt ervoor dat de strategische en operationele doelstellingen correct worden vertaald naar de jaarlijkse projectroadmap, in samenwerking met de Data Solution Managers en hun BI- en AI-teams. • Je rapporteert de prestaties van de Scrum-teams en volgt de uitvoering van de data-roadmap op. • Je ondersteunt de CDO bij strategische prioriteiten of transversale dossiers (op het gebied van regelgeving, organisatie en transformatie) en bij de coördinatie van complexe materies waarbij meerdere interne en externe stakeholders betrokken zijn (Health Data Agency, InterMutualistisch Agentschap...). • Je ondersteunt de Data Governance-teams bij het opstellen en implementeren van de Policies & Standards data.
Als Data Quality Analyst ga je aan de slag binnen de dienst Quality Office en rapporteer je aan de Data . Je bewaakt, analyseert en verbetert de datakwaliteit en je zorgt voor betrouwbare en consistente data ter ondersteuning van beleid en besluitvorming. Je voert data-analyses uit, detecteert inconsistenties en ondersteunt business en IT bij het duurzaam verbeteren van data en processen. Data Quality Management - Detecteren, documenteren en rapporteren van data quality issues en structurele knelpunten. - Uitwerken en opvolgen van data quality controles en meetmethodes (data quality rules, KPI's, dashboards). - Samenwerken met data-eigenaars, en business om datadefinities en kwaliteitsverwachtingen af te stemmen. - Brugfunctie vervullen tussen business en IT rond data quality vraagstukken. - Meewerken aan de uitbouw en toepassing van het data quality framework en data governance afspraken.
Als Data Quality Analyst ga je aan de slag binnen de dienst Quality Office en rapporteer je aan de Data . Je bewaakt, analyseert en verbetert de datakwaliteit en je zorgt voor betrouwbare en consistente data ter ondersteuning van beleid en besluitvorming. Je voert data-analyses uit, detecteert inconsistenties en ondersteunt business en IT bij het duurzaam verbeteren van data en processen. Data Quality Management - Detecteren, documenteren en rapporteren van data quality issues en structurele knelpunten. - Uitwerken en opvolgen van data quality controles en meetmethodes (data quality rules, KPI's, dashboards). - Samenwerken met data-eigenaars, en business om datadefinities en kwaliteitsverwachtingen af te stemmen. - Brugfunctie vervullen tussen business en IT rond data quality vraagstukken. - Meewerken aan de uitbouw en toepassing van het data quality framework en data governance afspraken.
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Collaborate directly with business teams to understand contract requirements and translate them intoAPIs,data models, and backend logic * Contribute to the design and optimization ofSQL-based data models and queries * Solid understanding ofAPI design, data modeling, and relational databases (SQL) With its research and innovation Centre, Talan puts innovation at the heart of its development and intervenes in the technological mutation sectors, such as Artificial Intelligence, Data Intelligence, Blockchains, to avail the growth of major groups and mid-cap companies through a committed and responsible approach. * Process and manipulate data using tools such asPandasandPydantic * Exposure to data processing and analytics tools
Collaborate directly with business teams to understand contract requirements and translate them intoAPIs,data models, and backend logic * Contribute to the design and optimization ofSQL-based data models and queries * Solid understanding ofAPI design, data modeling, and relational databases (SQL) With its research and innovation Centre, Talan puts innovation at the heart of its development and intervenes in the technological mutation sectors, such as Artificial Intelligence, Data Intelligence, Blockchains, to avail the growth of major groups and mid-cap companies through a committed and responsible approach. * Process and manipulate data using tools such asPandasandPydantic * Exposure to data processing and analytics tools
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Build and maintain scalable, reliable, and future-proof data models. * Solid understanding of data modeling, ETL/ELT processes, and data integration. The Group places innovation at the heart of its development and specialises inArtificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. In this context, we are looking for aConsultant Data & Analytics SAP - Datasphere / BDCto join Talan. We are looking for an experienced SAP Engineer specialized in DataSphere to join our team and support our data-driven transformation projects. You will play a key role in designing, implementing, and optimizing solutions based on SAP DataSphere, ensuring seamless, secure, and efficient data management across the organization. * Integrate multiple data sources (SAP and non-SAP) into the DataSphere ecosystem. * Ensure data performance, security, and governance.
Build and maintain scalable, reliable, and future-proof data models. * Solid understanding of data modeling, ETL/ELT processes, and data integration. The Group places innovation at the heart of its development and specialises inArtificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. In this context, we are looking for aConsultant Data & Analytics SAP - Datasphere / BDCto join Talan. We are looking for an experienced SAP Engineer specialized in DataSphere to join our team and support our data-driven transformation projects. You will play a key role in designing, implementing, and optimizing solutions based on SAP DataSphere, ensuring seamless, secure, and efficient data management across the organization. * Integrate multiple data sources (SAP and non-SAP) into the DataSphere ecosystem. * Ensure data performance, security, and governance.
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You have experience with data modelling and with a source control system such as Git, Github, Azure DevOps
You have experience with data modelling and with a source control system such as Git, Github, Azure DevOps
You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. * Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products. * Develop and deploy models across cloud and edge environments, including resource-constrained devices. * Experience optimizing models for latency, cost, and deployment constraints * Experience with real-time systems and streaming data pipelines * Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. * Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products. * Develop and deploy models across cloud and edge environments, including resource-constrained devices. * Experience optimizing models for latency, cost, and deployment constraints * Experience with real-time systems and streaming data pipelines * Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
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Are you passionate about data-driven platforms, machine learning models, and innovative applications? We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
Are you passionate about data-driven platforms, machine learning models, and innovative applications? We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
No match yet? There are 54 more jobs that could match your search
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Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains.
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains.
Daarnaast heb je ervaring met documentatie- en procesmodelleringstools (Confluence, Visio, ...) en ben je sterk in rapportering en data-analyse. Je beschikt over een goede basiskennis van IT-securityprincipes (confidentiality, integrity, availability, threat modeling en incident response) en bent vertrouwd met ITIL- en incident managementprocessen (incident, problem en change management).
Daarnaast heb je ervaring met documentatie- en procesmodelleringstools (Confluence, Visio, ...) en ben je sterk in rapportering en data-analyse. Je beschikt over een goede basiskennis van IT-securityprincipes (confidentiality, integrity, availability, threat modeling en incident response) en bent vertrouwd met ITIL- en incident managementprocessen (incident, problem en change management).
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains.
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains.
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 * Design, develop, and deploy machine learning models and algorithms * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * 5+ years of experience in a data science or machine learning role * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 * Design, develop, and deploy machine learning models and algorithms * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * 5+ years of experience in a data science or machine learning role * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Architect, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Architect, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
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AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. * Data Governance: You oversee the design of the Data Warehouse in BigQuery and strictly monitor security and privacy standards (IAM, data protection). * You possess relevant experience as a Data Engineer, Data Architect, or in a similar technical expert role. * Deep expertise in Google Cloud Platform (GCP) and associated data transformation solutions is essential.
AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. * Data Governance: You oversee the design of the Data Warehouse in BigQuery and strictly monitor security and privacy standards (IAM, data protection). * You possess relevant experience as a Data Engineer, Data Architect, or in a similar technical expert role. * Deep expertise in Google Cloud Platform (GCP) and associated data transformation solutions is essential.
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Your Mission: "Lead and scale our Microsoft Data tribe, driving cutting-edge AI innovation, pre-sales growth, and elite enterprise consulting across Belgium." The Tribe Manager Microsoft - Data & Analytics serves as the ultimate figurehead and strategic leader for our Microsoft Data subject matter ecosystem. In this pivotal role, you will be responsible for building, inspiring, and leading a high-performing team of consultants, data engineers and architects. * Team Governance: Manage, mentor, and oversee the entire Microsoft Data tribe, directly guiding and mentoring through structured 1-on-1 sessions. * Tech Roadmap: Shape the local technical vision for the Microsoft Data ecosystem, ensuring the team stays ahead of the curve on Microsoft Fabric, Azure Synapse, Azure ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Your Mission: "Lead and scale our Microsoft Data tribe, driving cutting-edge AI innovation, pre-sales growth, and elite enterprise consulting across Belgium." The Tribe Manager Microsoft - Data & Analytics serves as the ultimate figurehead and strategic leader for our Microsoft Data subject matter ecosystem. In this pivotal role, you will be responsible for building, inspiring, and leading a high-performing team of consultants, data engineers and architects. * Team Governance: Manage, mentor, and oversee the entire Microsoft Data tribe, directly guiding and mentoring through structured 1-on-1 sessions. * Tech Roadmap: Shape the local technical vision for the Microsoft Data ecosystem, ensuring the team stays ahead of the curve on Microsoft Fabric, Azure Synapse, Azure ...
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Engineer, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Sven, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Engineer, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Sven, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
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More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). * Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns.
More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). * Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Together with cloud and data engineers, service leads and sales, you'll run your projects making sure to meet the project deadlines and our customer's expectations. Experience – Minimum of 2 years in a similar role, preferably in IT (Cloud environment, Infrastructure, IT workspace, Data). Hybrid working model – Work remotely up to 8 weeks per year.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Together with cloud and data engineers, service leads and sales, you'll run your projects making sure to meet the project deadlines and our customer's expectations. Experience – Minimum of 2 years in a similar role, preferably in IT (Cloud environment, Infrastructure, IT workspace, Data). Hybrid working model – Work remotely up to 8 weeks per year.
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Cutting-edge Data & Analytics: We master modern data architectures through deep expertise in SAP Datasphere, BW/4HANA, and SAP Analytics Cloud (SAC). * Cloud Innovation: We integrate AI and Data Intelligence within the SAP environment to transform data into a true performance lever. * Code Modernization: Transform legacy custom developments (Z) from ECC into modern models such as RAP (RESTful ABAP Programming Model) and CAP (Cloud Application Programming) to maintain a clean core. * Cloud Migration: Support the transition to S/4HANA (Public or Private Cloud) by ensuring data mapping and flow integrity via SAP Datasphere or SAP Integration Suite.
Cutting-edge Data & Analytics: We master modern data architectures through deep expertise in SAP Datasphere, BW/4HANA, and SAP Analytics Cloud (SAC). * Cloud Innovation: We integrate AI and Data Intelligence within the SAP environment to transform data into a true performance lever. * Code Modernization: Transform legacy custom developments (Z) from ECC into modern models such as RAP (RESTful ABAP Programming Model) and CAP (Cloud Application Programming) to maintain a clean core. * Cloud Migration: Support the transition to S/4HANA (Public or Private Cloud) by ensuring data mapping and flow integrity via SAP Datasphere or SAP Integration Suite.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
Deep understanding of ROS2, its execution model, message-passing middleware, debugging and performance analysis tools * Solid Software Engineering background (algorithms, data structures)
Deep understanding of ROS2, its execution model, message-passing middleware, debugging and performance analysis tools * Solid Software Engineering background (algorithms, data structures)
Als Data Engineer Health Sector maak je deel uit van het Data Office, waar multidisciplinaire Agile-teams werken (Data Engineer, Projectleiders, Data Architects, specialisten in Data Governance en Data Quality, AI-experts, enz.). - BI-oplossingen ontwerpen, bouwen, implementeren en onderhouden volgens de standaarden, functionele en niet-functionele vereisten (prestaties, gegevensvolume), in samenwerking met de Data .
Als Data Engineer Health Sector maak je deel uit van het Data Office, waar multidisciplinaire Agile-teams werken (Data Engineer, Projectleiders, Data Architects, specialisten in Data Governance en Data Quality, AI-experts, enz.). - BI-oplossingen ontwerpen, bouwen, implementeren en onderhouden volgens de standaarden, functionele en niet-functionele vereisten (prestaties, gegevensvolume), in samenwerking met de Data .