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234 results for Data Pipelines jobs in Berg,Vlaams Brabant within a 30 km radius
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Je bent verantwoordelijk voor het ontwerpen en ontwikkelen van robuuste data pipelines, het transformeren van ruwe data in ruwe data in bruikbare formaten en het ondersteunen van onze en bij het uitvoeren van hun analyses. * Ontwerpen, ontwikkelen en onderhouden van betrouwbare data pipelines en ETL-processen. * Bekendheid met het beheren en aansturen van processen via Airflow voor het orkestreren van data pipelines. We streven ernaar om data-gedreven oplossingen te leveren die de prestaties van onze organisatie verbeteren en onze klanten helpen om succesvol te zijn. Als onderdeel van ons groeiende team, krijg je de kans om te werken met de nieuwste technologieën en een belangrijke bijdrage te leveren aan onze data gedreven toekomst. Als data-engineer speel je een cruciale rol in het bouwen, beheren en optimaliseren van onze data-infrastructuur.
Je bent verantwoordelijk voor het ontwerpen en ontwikkelen van robuuste data pipelines, het transformeren van ruwe data in ruwe data in bruikbare formaten en het ondersteunen van onze en bij het uitvoeren van hun analyses. * Ontwerpen, ontwikkelen en onderhouden van betrouwbare data pipelines en ETL-processen. * Bekendheid met het beheren en aansturen van processen via Airflow voor het orkestreren van data pipelines. We streven ernaar om data-gedreven oplossingen te leveren die de prestaties van onze organisatie verbeteren en onze klanten helpen om succesvol te zijn. Als onderdeel van ons groeiende team, krijg je de kans om te werken met de nieuwste technologieën en een belangrijke bijdrage te leveren aan onze data gedreven toekomst. Als data-engineer speel je een cruciale rol in het bouwen, beheren en optimaliseren van onze data-infrastructuur.
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Experience with Data Engineering & data pipelines 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 * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions
Experience with Data Engineering & data pipelines 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 * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions
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Build and maintain data pipelines for data ingestion, processing, and transformation - 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 * 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
Build and maintain data pipelines for data ingestion, processing, and transformation - 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 * 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
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). * 5+ years of experience in Data Engineering with a focus on building and maintaining large-scale, production-grade data pipelines. 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 - 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 ...
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). * 5+ years of experience in Data Engineering with a focus on building and maintaining large-scale, production-grade data pipelines. 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 - 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 ...
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Experience with Data Engineering & data pipelines 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 * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions * interview with Sven, our Head of Data & Analytics: You'll have ...
Experience with Data Engineering & data pipelines 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 * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions * interview with Sven, our Head of Data & Analytics: You'll have ...
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Als Data Engineer krijg je de kans om hier actief aan mee te bouwen: van de fundamenten van een datawarehouse tot performante data pipelines, in een omgeving waar technologie, innovatie en maatschappelijke impact samenkomen. • Opzetten en onderhouden van ETL/ELT-processen en data pipelines • Je hebt ervaring met of interesse in ETL/ELT-processen en data pipelines We staan nu aan de start van een volgende grote stap: het uitbouwen van een modern data- en analyticsplatform. Als Data Engineer werk je mee aan de technische uitbouw van ons data- en analyticsplatform. • Bouwen en optimaliseren van data-integraties en datastromen - We staan open voor verschillende profielen: je kan al ervaring hebben in data engineering, of een sterke interesse combineren met de juiste technische basis. • Je hebt interesse in én/of ervaring met data engineering en datawarehousing
Als Data Engineer krijg je de kans om hier actief aan mee te bouwen: van de fundamenten van een datawarehouse tot performante data pipelines, in een omgeving waar technologie, innovatie en maatschappelijke impact samenkomen. • Opzetten en onderhouden van ETL/ELT-processen en data pipelines • Je hebt ervaring met of interesse in ETL/ELT-processen en data pipelines We staan nu aan de start van een volgende grote stap: het uitbouwen van een modern data- en analyticsplatform. Als Data Engineer werk je mee aan de technische uitbouw van ons data- en analyticsplatform. • Bouwen en optimaliseren van data-integraties en datastromen - We staan open voor verschillende profielen: je kan al ervaring hebben in data engineering, of een sterke interesse combineren met de juiste technische basis. • Je hebt interesse in én/of ervaring met data engineering en datawarehousing
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Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. 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. * 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.
Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. 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. * 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.
Our SaaS platform leverages advanced data technology and semantic search to deliver high-quality leads, empowering companies to grow their sales pipelines efficiently. •Experience with data scraping and pipeline orchestration
Our SaaS platform leverages advanced data technology and semantic search to deliver high-quality leads, empowering companies to grow their sales pipelines efficiently. •Experience with data scraping and pipeline orchestration
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.
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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.
No match yet? There are 223 more jobs that could match your search
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Als Senior Data Analyst maak je deel uit van het data-team dat verantwoordelijk is voor de implementatie van het gemeenschappelijk dataplatform bij een klant die een belangrijke speler is in de sociale zekerheid voor de domeinen werkloosheid, loopbaanonderbreking en tijdskrediet. Je definieert de conceptuele datamodellen op basis van de businessvereisten, en samen met de andere binnen het team (analisten, , ) zorg je ervoor dat deze data-oplossingen afgestemd zijn op de noden van de organisatie. Als brug tussen het data-team en de business stakeholders verzamel en analyseer je de noden, vertaal je de business requirements naar technische specificaties en draag je actief bij aan een vlotte communicatie en afstemming binnen een transversale organisatie. Je speelt een actieve rol in het exploreren van data om diepgaande analyses, dashboards en decision-ready insights te produceren.
Als Senior Data Analyst maak je deel uit van het data-team dat verantwoordelijk is voor de implementatie van het gemeenschappelijk dataplatform bij een klant die een belangrijke speler is in de sociale zekerheid voor de domeinen werkloosheid, loopbaanonderbreking en tijdskrediet. Je definieert de conceptuele datamodellen op basis van de businessvereisten, en samen met de andere binnen het team (analisten, , ) zorg je ervoor dat deze data-oplossingen afgestemd zijn op de noden van de organisatie. Als brug tussen het data-team en de business stakeholders verzamel en analyseer je de noden, vertaal je de business requirements naar technische specificaties en draag je actief bij aan een vlotte communicatie en afstemming binnen een transversale organisatie. Je speelt een actieve rol in het exploreren van data om diepgaande analyses, dashboards en decision-ready insights te produceren.
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The 'new business' sales team will actively prospect and tap into new customers and partners, and be responsible for building a pipeline of prospects. o commercial monitoring (such as open opportunities, activities per sales representative, pipeline health, forecast dashboard, deal ageing, customer contact frequency, etc.), o forecasts (expected turnover for the coming months, forecast accuracy, probability-weighted pipeline, contract renewals, up-sell/cross-sell expectations, etc.), Close collaboration with marketing, product range management and support teams ( team, contact centre team, master data team, etc.).
The 'new business' sales team will actively prospect and tap into new customers and partners, and be responsible for building a pipeline of prospects. o commercial monitoring (such as open opportunities, activities per sales representative, pipeline health, forecast dashboard, deal ageing, customer contact frequency, etc.), o forecasts (expected turnover for the coming months, forecast accuracy, probability-weighted pipeline, contract renewals, up-sell/cross-sell expectations, etc.), Close collaboration with marketing, product range management and support teams ( team, contact centre team, master data team, etc.).
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Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) You will work closely with Operations, IT, Data, and Digital teams, while strictly adhering to AI governance frameworks (GDPR, EU AI Act, Generali Group standards). * Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar. * Understanding of data governance, GDPR, and responsible AI principles.
Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) You will work closely with Operations, IT, Data, and Digital teams, while strictly adhering to AI governance frameworks (GDPR, EU AI Act, Generali Group standards). * Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar. * Understanding of data governance, GDPR, and responsible AI principles.
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Junior Database Administrator (F/H/X)
Junior Database Administrator (F/H/X)
Nationale Bank van België NV / Banque Nationale de Belgique SA
Berlaimontlaan 14, 1000 Brussel
Partially remote
het definiëren en implementeren van de evolutie van de data-infrastructuur in lijn met de technologische strategie van de NBB
het definiëren en implementeren van de evolutie van de data-infrastructuur in lijn met de technologische strategie van de NBB
Experience with data warehousing, ETL/ELT pipelines, real-time data streaming technologies, data mesh architectures and data mesh organisations is a plus - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value.
Experience with data warehousing, ETL/ELT pipelines, real-time data streaming technologies, data mesh architectures and data mesh organisations is a plus - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value.
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We complement these partnerships with in-depth Cyber, Data & AI and Software development. As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this includes modernizing complex legacy systems and migrating critical workloads to the cloud, implementing advanced AI/ML capabilities (including GenAI and Vertex AI) to extract new business value from data, engineering large-scale data platforms (like BigQuery) for deep analytics, and ultimately building future-proof, secure, and resilient cloud-native application architectures.
We complement these partnerships with in-depth Cyber, Data & AI and Software development. As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this includes modernizing complex legacy systems and migrating critical workloads to the cloud, implementing advanced AI/ML capabilities (including GenAI and Vertex AI) to extract new business value from data, engineering large-scale data platforms (like BigQuery) for deep analytics, and ultimately building future-proof, secure, and resilient cloud-native application architectures.
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You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach. Are you a results-driven recruiter who enjoys managing hiring processes, connecting with stakeholders, and building high-quality talent pipelines? Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Partner closely with hiring managers to define hiring needs, advise on recruitment strategy, and provide regular market and pipeline updates. * Build andmaintainrobust candidate pipelines through direct sourcing, job boards, university partnerships, referral channels, and talent databases. * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data ...
You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach. Are you a results-driven recruiter who enjoys managing hiring processes, connecting with stakeholders, and building high-quality talent pipelines? Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Partner closely with hiring managers to define hiring needs, advise on recruitment strategy, and provide regular market and pipeline updates. * Build andmaintainrobust candidate pipelines through direct sourcing, job boards, university partnerships, referral channels, and talent databases. * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data ...
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You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach. Are you a results-driven recruiter who enjoys managing hiring processes, connecting with stakeholders, and building high-quality talent pipelines? Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Partner closely with hiring managers to define hiring needs, advise on recruitment strategy, and provide regular market and pipeline updates. * Build andmaintainrobust candidate pipelines through direct sourcing, job boards, university partnerships, referral channels, and talent databases. * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data ...
You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach. Are you a results-driven recruiter who enjoys managing hiring processes, connecting with stakeholders, and building high-quality talent pipelines? Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Partner closely with hiring managers to define hiring needs, advise on recruitment strategy, and provide regular market and pipeline updates. * Build andmaintainrobust candidate pipelines through direct sourcing, job boards, university partnerships, referral channels, and talent databases. * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data ...
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You will be the driving force behind our recruitment engine for our highest-demand practices: Cloud, Data, and Cybersecurity. * Volume & Pipeline Management: Manage a high volume of recruitment processes simultaneously without compromising on candidate experience or quality. * Tech Expertise: Understanding of the Cloud, Data, and/or Cybersecurity ecosystems (you understand the nuances between a Cloud Architect, a Data Engineer, and a Cyber Security Consultant, and you know how to pitch to each of them).
You will be the driving force behind our recruitment engine for our highest-demand practices: Cloud, Data, and Cybersecurity. * Volume & Pipeline Management: Manage a high volume of recruitment processes simultaneously without compromising on candidate experience or quality. * Tech Expertise: Understanding of the Cloud, Data, and/or Cybersecurity ecosystems (you understand the nuances between a Cloud Architect, a Data Engineer, and a Cyber Security Consultant, and you know how to pitch to each of them).
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Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * 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.
Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * 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.
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. Our semantic technology delivers unparalleled accuracy in generation, data enrichment, and market intelligence across Belgium and beyond. * Pipeline building approach * Experience selling SaaS, data solutions, marketing technology, or enterprise software is an advantage * Ability to grasp AI and data technology concepts quickly * Comfortable discussing lead generation, data enrichment, and B2B marketing strategies
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. Our semantic technology delivers unparalleled accuracy in generation, data enrichment, and market intelligence across Belgium and beyond. * Pipeline building approach * Experience selling SaaS, data solutions, marketing technology, or enterprise software is an advantage * Ability to grasp AI and data technology concepts quickly * Comfortable discussing lead generation, data enrichment, and B2B marketing strategies
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Technologie, data, remote services en geïntegreerde beveiligingsoplossingen spelen een steeds belangrijkere rol in hoe organisaties risico's beheren en hun continuïteit verzekeren. * Uitbouwen en onderhouden van een kwalitatieve sales pipeline.
Technologie, data, remote services en geïntegreerde beveiligingsoplossingen spelen een steeds belangrijkere rol in hoe organisaties risico's beheren en hun continuïteit verzekeren. * Uitbouwen en onderhouden van een kwalitatieve sales pipeline.
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The invisible 90% is the engine behind it — the content pipeline, the workflows, the calendar — that makes that post happen on purpose, not by luck. * Turn what's already happening at Sitemark — customer results, product launches, footage from the field, real data — into a steady stream of sharp, specific content. Track what actually matters — reach, audience growth, inbound, pipeline influenced — and lean into what works.
The invisible 90% is the engine behind it — the content pipeline, the workflows, the calendar — that makes that post happen on purpose, not by luck. * Turn what's already happening at Sitemark — customer results, product launches, footage from the field, real data — into a steady stream of sharp, specific content. Track what actually matters — reach, audience growth, inbound, pipeline influenced — and lean into what works.
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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. * Experience building LLM systems that combine reasoning, tool access, and dynamic information retrieval, beyond simple prompt pipelines.
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. * Experience building LLM systems that combine reasoning, tool access, and dynamic information retrieval, beyond simple prompt pipelines.