Snel solliciteren
6
Publicatiedatum
Opties voor telewerken
Reistijd
Sollicitatie methode
Taal van de job
Vaardigheden
Functiecategorie
Sector
Regio
Gemeente
Ervaringsniveau
Type contract
Voltijds/deeltijds
Filters
Sorteer volgensRelevantie
Opties voor telewerken
Reistijd
Sollicitatie methode
Taal van de job
Vaardigheden
Functiecategorie
Sector
Regio
Gemeente
Ervaringsniveau
Type contract
Voltijds/deeltijds
Voltijds
18
50 resultaten voor Data Scientist in Diegem binnen een straal van 30 km
){kind=logo}
Snel solliciteren
We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our ' business . We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * 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 are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our ' business . We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * 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
Snel solliciteren
As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. 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? * 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 to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities. * Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. 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? * 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 to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities. * Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
We hebben je zoekopdracht uitgebreid met 48 gelijkaardige vacatures.
){kind=logo}
• Advies rond governance, compliance, data protection en best practices • Data Loss Prevention: endpoint DLP, cloud DLP, insider risk controls • Information Governance & Records Management: retentielabels/-beleid, datalifecycle • eDiscovery (Standard/Premium): cases, legal hold, data-analyse
• Advies rond governance, compliance, data protection en best practices • Data Loss Prevention: endpoint DLP, cloud DLP, insider risk controls • Information Governance & Records Management: retentielabels/-beleid, datalifecycle • eDiscovery (Standard/Premium): cases, legal hold, data-analyse
){kind=logo}
Analytical Skills: Proven ability to analyze data and performance metrics, identify emerging trends, and propose actionable improvements. * Tech Savvy: Proficient in CRM systems, ticketing tools (e.g., Zendesk, Salesforce), and data analytics platforms.
Analytical Skills: Proven ability to analyze data and performance metrics, identify emerging trends, and propose actionable improvements. * Tech Savvy: Proficient in CRM systems, ticketing tools (e.g., Zendesk, Salesforce), and data analytics platforms.
){kind=logo}
Senior Customer & Application Development Engineer, Coatings
Senior Customer & Application Development Engineer, Coatings
Exxon Mobil Corporation
Machelen, BRU, BE
Co-author promotional brochures and technical data sheets highlighting performance benefits.
Co-author promotional brochures and technical data sheets highlighting performance benefits.
NIEUW
Senior Customer & Application Development Engineer, Composites
Senior Customer & Application Development Engineer, Composites
Exxon Mobil Corporation
Machelen, BRU, BE
Co-author promotional brochures and technical data sheets highlighting performance benefits.
Co-author promotional brochures and technical data sheets highlighting performance benefits.
NIEUW
){kind=logo}
Uphold organizational standards related to data protection, information security, and IT best practices
Uphold organizational standards related to data protection, information security, and IT best practices
NIEUW
){kind=logo}
ELN structured data structuration: Configure data mapping according to CMC data models ensuring data/metadata schemas are aligned to FAIR principles and scientific and industry domain standards
ELN structured data structuration: Configure data mapping according to CMC data models ensuring data/metadata schemas are aligned to FAIR principles and scientific and industry domain standards
Snel solliciteren
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 * interview with Sven, our Head of Data & Analytics: You'll have a more in-depth technical discussion where you'll also ...
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 * interview with Sven, our Head of Data & Analytics: You'll have a more in-depth technical discussion where you'll also ...
NIEUW
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-decision-. * Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.).
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-decision-. * Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.).
Inoopa is a Belgian tech company based in Brussels (Ixelles) focused on unlocking the power of data for businesses. Our mission revolves around B2B lead generation, data enrichment, and cutting-edge R&D for enterprise and corporate clients. We offer the perfect environment for data engineers who are passionate about solving complex problems, and who thrive in a collaborative yet independent setting. * Maintain regular follow-ups with clients to understand their needs and ensure the timely delivery of data solutions. Data Quality Management * Conduct benchmarking to assess and enhance the quality of Inoopa's data offerings compared to industry standards. * Collaborate with internal teams to identify and resolve data inconsistencies or errors. * Define and monitor data-related KPIs to ensure the delivery of high-quality, reliable
Inoopa is a Belgian tech company based in Brussels (Ixelles) focused on unlocking the power of data for businesses. Our mission revolves around B2B lead generation, data enrichment, and cutting-edge R&D for enterprise and corporate clients. We offer the perfect environment for data engineers who are passionate about solving complex problems, and who thrive in a collaborative yet independent setting. * Maintain regular follow-ups with clients to understand their needs and ensure the timely delivery of data solutions. Data Quality Management * Conduct benchmarking to assess and enhance the quality of Inoopa's data offerings compared to industry standards. * Collaborate with internal teams to identify and resolve data inconsistencies or errors. * Define and monitor data-related KPIs to ensure the delivery of high-quality, reliable
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
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
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 pipelines and solutions primarily on Google Cloud Platform (GCP). You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure. 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 pipelines and solutions primarily on Google Cloud Platform (GCP). You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure. 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. This role focuses on solution architecture, presales and hands-on development, incorporating modern capabilities like Microsoft Coilot for enhanced productivity, robust identity management with Microsoft Entra ID, and ensuring data governance through Microsoft Purview. * Create insightful reports, dashboards, and data visualizations using Power BI, connecting to various data sources. * Collaborate closely with , , and end-users to gather requirements, define solution scope, and ensure solutions meet business needs, considering data compliance with Microsoft Purview principles. * Develop and maintain technical documentation for developed applications, including considerations for security and data handling. * Adhere to and promote best practices in application development, security ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. This role focuses on solution architecture, presales and hands-on development, incorporating modern capabilities like Microsoft Coilot for enhanced productivity, robust identity management with Microsoft Entra ID, and ensuring data governance through Microsoft Purview. * Create insightful reports, dashboards, and data visualizations using Power BI, connecting to various data sources. * Collaborate closely with , , and end-users to gather requirements, define solution scope, and ensure solutions meet business needs, considering data compliance with Microsoft Purview principles. * Develop and maintain technical documentation for developed applications, including considerations for security and data handling. * Adhere to and promote best practices in application development, security ...
){kind=logo}
The in-depth technical knowledge of our and our specialised centres of expertise in lighting, multi-energy (from solar panels to charging stations), data and industry. * Basic knowledge of SQL (queries, data manipulation). * Interest in ERP environments (sales, invoicing, product/customer master data).
The in-depth technical knowledge of our and our specialised centres of expertise in lighting, multi-energy (from solar panels to charging stations), data and industry. * Basic knowledge of SQL (queries, data manipulation). * Interest in ERP environments (sales, invoicing, product/customer master data).
NIEUW
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable. * Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable. * Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.
Security Engineer/Analyst - Brussels, Ham, Pelt or Ypres
Security Engineer/Analyst - Brussels, Ham, Pelt or Ypres
Tessenderlo Group NV
Ixelles
Thuiswerken mogelijk
Snel solliciteren
Strong analytical ability to consolidate data from multiple sources into clear insights.
Strong analytical ability to consolidate data from multiple sources into clear insights.
DataCamp Belgium BV - About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. DataCamp's infrastructure team, which is part of the Platform Engineering department, is a T-shaped cross functional team that looks after CI/CD pipelines, cloud infrastructure (deployed on AWS), logging, monitoring and security. The infrastructure team also looks after the data platform (deployed on GCP) as we have data engineers embedded in our cross functional infrastructure team.
DataCamp Belgium BV - About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. DataCamp's infrastructure team, which is part of the Platform Engineering department, is a T-shaped cross functional team that looks after CI/CD pipelines, cloud infrastructure (deployed on AWS), logging, monitoring and security. The infrastructure team also looks after the data platform (deployed on GCP) as we have data engineers embedded in our cross functional infrastructure team.
Oversee integration between the e-commerce platform, LIMS, finance, stock, and supply chain systems, ensuring seamless data flow and process automation. * Familiarity with data privacy regulations (GDPR, HIPAA) and compliance frameworks. * Strong analytical skills with experience in data-driven decision making.
Oversee integration between the e-commerce platform, LIMS, finance, stock, and supply chain systems, ensuring seamless data flow and process automation. * Familiarity with data privacy regulations (GDPR, HIPAA) and compliance frameworks. * Strong analytical skills with experience in data-driven decision making.
Data & Logic Modelling: Create logical data models, flowcharts, and diagrams (UML, BPMN) to visualize system behavior. You don't just see a screen; you see the data and processes behind it.
Data & Logic Modelling: Create logical data models, flowcharts, and diagrams (UML, BPMN) to visualize system behavior. You don't just see a screen; you see the data and processes behind it.
-Data Protection with Microsoft Purview
-Data Protection with Microsoft Purview
Code review: Ensure the quality of code and data through regular reviews using static analysis tools (e.g., SonarQube) and Git.
Code review: Ensure the quality of code and data through regular reviews using static analysis tools (e.g., SonarQube) and Git.
NIEUW
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric. * Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview. * Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced analytics and predictive insights. * Utilize Data Activator to monitor data and trigger actions based on defined patterns and conditions.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric. * Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview. * Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced analytics and predictive insights. * Utilize Data Activator to monitor data and trigger actions based on defined patterns and conditions.
Support design reviews with test data and risk assessments.
Support design reviews with test data and risk assessments.
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).