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19 resultaten voor data-analytics-specialist in Heist Op Den Berg binnen een straal van 30 km
We hebben je zoekopdracht uitgebreid met 19 gelijkaardige vacatures.
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Computer Vision Software Specialist
Computer Vision Software Specialist
Colruyt NV (Colruyt Group)
Interleuvenlaan, 17A, Heverlee, Vlaams-Brabant 3001 BEL
Met een efficiënte supply chain, eigen productiesites en uitgebreide ondersteunende diensten zoals IT, Data & Analytics, Call Center, HR en Marketing, behoren we tot de grootste private werkgevers van het land. Als Computer Vision Software Specialist versterk je ons R&D team en bouw je mee aan de perception en localization intelligentie van onze volgende generatie AGV's (Automated Guided Vehicles).
Met een efficiënte supply chain, eigen productiesites en uitgebreide ondersteunende diensten zoals IT, Data & Analytics, Call Center, HR en Marketing, behoren we tot de grootste private werkgevers van het land. Als Computer Vision Software Specialist versterk je ons R&D team en bouw je mee aan de perception en localization intelligentie van onze volgende generatie AGV's (Automated Guided Vehicles).
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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 * 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 Databricks is a plus * 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 * 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 Databricks is a plus * 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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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). * AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. * 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.
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). * AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. * 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. Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * 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. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. * Act as a strategic partner to client Data Science teams, helping t
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * 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. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. * Act as a strategic partner to client Data Science teams, helping t
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Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best leverage GCP data services (like BigQuery, Dataflow, Cloud Composer, and Pub/Sub) to solve critical business challenges. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can - As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data p
Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best leverage GCP data services (like BigQuery, Dataflow, Cloud Composer, and Pub/Sub) to solve critical business challenges. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can - As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data p
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. A major focus of this position includes helping clients establish robust AI Governance and Microsoft Copilot readiness frameworks by securing their underlying data estates and delivering adoption and governance training to client teams. * Design enterprise level Purview architectures and target operating models covering Data Security (Information Protection, Sensitivity Labels, Auto-classification, DLP), Data Governance & Lifecycle (Records Management, Retention, Data Cataloguing, Unified Maps), and Risk & Compliance (Insider Risk Management, eDiscovery Premium, Communication Compliance, Compliance Manager). * Assess client data risk profiles to AI rollout;
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. A major focus of this position includes helping clients establish robust AI Governance and Microsoft Copilot readiness frameworks by securing their underlying data estates and delivering adoption and governance training to client teams. * Design enterprise level Purview architectures and target operating models covering Data Security (Information Protection, Sensitivity Labels, Auto-classification, DLP), Data Governance & Lifecycle (Records Management, Retention, Data Cataloguing, Unified Maps), and Risk & Compliance (Insider Risk Management, eDiscovery Premium, Communication Compliance, Compliance Manager). * Assess client data risk profiles to AI rollout;
You're equal parts engineer and relationship builder — technical enough to configure a customer's environment and prepare their data, and customer-focused enough to build the trust that turns satisfied customers into loyal, long-term partners. * Own the quality of customer data flowing into the platform — set the standards for site layouts (CAD/DXF), drone and GIS data, project schedules, and other imports, so every customer starts from a clean, reliable foundation. * Customer data (layouts, schedules, drone data) flows into the platform cleanly, with validation and tooling that makes imports predictable. * A hybrid profile: as strong with customers as you are with technical systems — you can run a kickoff call in the morning and troubleshoot a data import in the afte
You're equal parts engineer and relationship builder — technical enough to configure a customer's environment and prepare their data, and customer-focused enough to build the trust that turns satisfied customers into loyal, long-term partners. * Own the quality of customer data flowing into the platform — set the standards for site layouts (CAD/DXF), drone and GIS data, project schedules, and other imports, so every customer starts from a clean, reliable foundation. * Customer data (layouts, schedules, drone data) flows into the platform cleanly, with validation and tooling that makes imports predictable. * A hybrid profile: as strong with customers as you are with technical systems — you can run a kickoff call in the morning and troubleshoot a data import in the afte
Manage and evolve our timeseries data stack (e.g. QuestDB) that underpins device and energy analytics. * Experience with timeseries or high-volume data pipelines (e.g. QuestDB, Timestream, InfluxDB or similar). * Working knowledge of device/IoT integration and data scraping, or a strong willingness to learn it.
Manage and evolve our timeseries data stack (e.g. QuestDB) that underpins device and energy analytics. * Experience with timeseries or high-volume data pipelines (e.g. QuestDB, Timestream, InfluxDB or similar). * Working knowledge of device/IoT integration and data scraping, or a strong willingness to learn it.
Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring. * Responsible AI: Implement guardrails, data privacy, and security controls following AWS best practices and regulations (e.g., GDPR, EU AI Act). * Collaboration & Communication: Collaborate cross-functionally with data engineers, platform teams, and clients. * Education: Bachelor's or Master's degree in Computer Science, AI/Data Science, Software Engineering, or a related field.
Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring. * Responsible AI: Implement guardrails, data privacy, and security controls following AWS best practices and regulations (e.g., GDPR, EU AI Act). * Collaboration & Communication: Collaborate cross-functionally with data engineers, platform teams, and clients. * Education: Bachelor's or Master's degree in Computer Science, AI/Data Science, Software Engineering, or a related field.
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Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act). * Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. * Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, or a related field, or equivalent practical experience. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring).
Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act). * Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. * Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, or a related field, or equivalent practical experience. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring).
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● Data & APIs: Standard structures (JSON, XML, REST APIs) to define howdata moves through our agentic factory. ● Expert Mentorship: Learn daily from seasoned Software Architects, CloudEngineers, and AI Specialists who are passionate about sharing their knowledge.
● Data & APIs: Standard structures (JSON, XML, REST APIs) to define howdata moves through our agentic factory. ● Expert Mentorship: Learn daily from seasoned Software Architects, CloudEngineers, and AI Specialists who are passionate about sharing their knowledge.
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● Web Tech Basics: Understanding of REST APIs, JSON data structures,and database basics (SQL/NoSQL). ● Expert Mentorship: Learn daily from seasoned Software Architects, CloudEngineers, and AI Specialists who are passionate about sharing their knowledge.
● Web Tech Basics: Understanding of REST APIs, JSON data structures,and database basics (SQL/NoSQL). ● Expert Mentorship: Learn daily from seasoned Software Architects, CloudEngineers, and AI Specialists who are passionate about sharing their knowledge.
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Dit bedrijf helpt andere organisaties om beter met hun data om te gaan, vooral voor marketing en klantenbeheer. Je krijgt de kans om binnen enkele jaren door te groeien naar , waar je de technische visie en architectuur van hun data-driven oplossingen bepaalt. We zoeken een pragmatische probleemoplosser die impact wil maken met slimme cloudoplossingen, API's en dataverwerking. * Werken aan Microsoft Fabric-integraties en data-gedreven processen. * Samenwerken met marketing & data-teams om businessdoelen te vertalen naar technische oplossingen. * Ervaring met cloudoplossingen in Microsoft Azure (Entra, Servicebus, Storage, Databricks).
Dit bedrijf helpt andere organisaties om beter met hun data om te gaan, vooral voor marketing en klantenbeheer. Je krijgt de kans om binnen enkele jaren door te groeien naar , waar je de technische visie en architectuur van hun data-driven oplossingen bepaalt. We zoeken een pragmatische probleemoplosser die impact wil maken met slimme cloudoplossingen, API's en dataverwerking. * Werken aan Microsoft Fabric-integraties en data-gedreven processen. * Samenwerken met marketing & data-teams om businessdoelen te vertalen naar technische oplossingen. * Ervaring met cloudoplossingen in Microsoft Azure (Entra, Servicebus, Storage, Databricks).
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Ervaring: Minimaal 2 jaar in projectmanagement, bij voorkeur in IT (Cloud / Infrastructuur / Workspace / Data).
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Ervaring: Minimaal 2 jaar in projectmanagement, bij voorkeur in IT (Cloud / Infrastructuur / Workspace / Data).
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Strong analytical, problem-solving, and architectural skills with a deep understanding of computer science fundamentals, data structures, and algorithms. * Databases & Data Modeling — Strong proficiency in relational databases (PostgreSQL, MySQL, Oracle) and SQL, as well as familiarity with NoSQL stores. * Experience with prompt engineering techniques and constructing LLM-enabled workflows (summarization, data extraction, enterprise search). * Awareness of responsible AI principles: data privacy, security, and ethical AI deployment.
Strong analytical, problem-solving, and architectural skills with a deep understanding of computer science fundamentals, data structures, and algorithms. * Databases & Data Modeling — Strong proficiency in relational databases (PostgreSQL, MySQL, Oracle) and SQL, as well as familiarity with NoSQL stores. * Experience with prompt engineering techniques and constructing LLM-enabled workflows (summarization, data extraction, enterprise search). * Awareness of responsible AI principles: data privacy, security, and ethical AI deployment.
Snel solliciteren
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).
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).
kennis van SQL Server, PostgreSQL, stored procedures, databaseperformantie en datamigratieprocessen
kennis van SQL Server, PostgreSQL, stored procedures, databaseperformantie en datamigratieprocessen
Snel solliciteren
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. ● Expert Mentorship: Learn daily from seasoned CloudEngineers, and AI Specialists who are passionate about sharing their knowledge.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. ● Expert Mentorship: Learn daily from seasoned CloudEngineers, and AI Specialists who are passionate about sharing their knowledge.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise.