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125 results for Data architecture jobs in Laeken within a 30 km radius
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Have a know how of data-architecture and data-infrastructure - 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 * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions
Have a know how of data-architecture and data-infrastructure - 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 * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions
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Proven experience in data architecture, data engineering, or related roles. As a Data Architect, you will play a pivotal role in helping our customers unlock the full potential of their data. You'll design and deliver innovative, robust, and scalable data solutions tailored to meet both their current and future business needs. Acting as a trusted , you'll collaborate closely with our customers to shape technical roadmaps and architectural blueprints that empower them to thrive in a data-driven world. With your expertise and forward-thinking approach, you'll bridge the gap between business goals and technical possibilities, ensuring our customers achieve sustainable success in their data strategies. * Collaborating with customers to understand their business goals, data challenges, and technical requirements, ensuring that the solutions you design align with their long-term objectives.
Proven experience in data architecture, data engineering, or related roles. As a Data Architect, you will play a pivotal role in helping our customers unlock the full potential of their data. You'll design and deliver innovative, robust, and scalable data solutions tailored to meet both their current and future business needs. Acting as a trusted , you'll collaborate closely with our customers to shape technical roadmaps and architectural blueprints that empower them to thrive in a data-driven world. With your expertise and forward-thinking approach, you'll bridge the gap between business goals and technical possibilities, ensuring our customers achieve sustainable success in their data strategies. * Collaborating with customers to understand their business goals, data challenges, and technical requirements, ensuring that the solutions you design align with their long-term objectives.
Proven ability to design and implement various data architectures (e.g., Data Lake, Data Mesh, Data Warehouse) on GCP. 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 ...
Proven ability to design and implement various data architectures (e.g., Data Lake, Data Mesh, Data Warehouse) on GCP. 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 ...
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Have a know how of data-architecture and data-infrastructure - 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 * 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 ...
Have a know how of data-architecture and data-infrastructure - 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 * 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 ...
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You also have a good understanding of the data warehouse lifecycle and its architecture. * Ideally, you also have experience with data architecture and services in MS Azure, Google Cloud or Amazon Web Services. To strengthen our analyst team, we are looking for a Medior to Senior Data Analyst with proven hands-on experience in Adobe Analytics. As a Data Analyst, your principal role will be to bridge the gap between IT and the business using data analytics. You'll be responsible for matching the technical expertise of our analytics data engineers with the operational knowledge of our customers' marketing and sales teams. * We count on you for an efficient connection between our client's cloud environment and the chosen data visualization solution. * Executing complex data analyses with unstructured data makes your day and you get excited of advising on ...
You also have a good understanding of the data warehouse lifecycle and its architecture. * Ideally, you also have experience with data architecture and services in MS Azure, Google Cloud or Amazon Web Services. To strengthen our analyst team, we are looking for a Medior to Senior Data Analyst with proven hands-on experience in Adobe Analytics. As a Data Analyst, your principal role will be to bridge the gap between IT and the business using data analytics. You'll be responsible for matching the technical expertise of our analytics data engineers with the operational knowledge of our customers' marketing and sales teams. * We count on you for an efficient connection between our client's cloud environment and the chosen data visualization solution. * Executing complex data analyses with unstructured data makes your day and you get excited of advising on ...
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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. By designing high-performance, scalable architectures that fit perfectly within our global ecosystem, you enable a team of to reach new heights of operational excellence. * System Design and Architecture: You define end-to-end technical flows on the Google Cloud Platform (GCP) stack and ensure alignment with corporate standards. * API Subject Matter Expert: You lead the design of API architectures, whether they are generic, sector-specific, or dedicated to front-end applications. * 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. Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. By designing high-performance, scalable architectures that fit perfectly within our global ecosystem, you enable a team of to reach new heights of operational excellence. * System Design and Architecture: You define end-to-end technical flows on the Google Cloud Platform (GCP) stack and ensure alignment with corporate standards. * API Subject Matter Expert: You lead the design of API architectures, whether they are generic, sector-specific, or dedicated to front-end applications. * Data Governance: You oversee the design of the Data Warehouse in BigQuery and strictly monitor security and privacy standards (IAM, data protection).
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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). In this role, you will drive complex projects end-to-end, ensuring delivery excellence, alignment with business strategy, and the adoption of modern SAP principles, specifically focusing on Clean Core architecture and the Business Data Fabric strategy. * Solid understanding of enterprise architecture, data migration strategies, and integration patterns. * Cloud Innovation: We integrate AI and Data Intelligence within the SAP environment to transform data into a true performance lever. * Data & Analytics Transformation: Oversee the deployment of the Business Data Fabric using SAP Datasphere and manage the modernization roadmap for legacy environments (SAP BW) migrating to the Cloud (BDC/Datasphere).
Cutting-edge Data & Analytics: We master modern data architectures through deep expertise in SAP Datasphere, BW/4HANA, and SAP Analytics Cloud (SAC). In this role, you will drive complex projects end-to-end, ensuring delivery excellence, alignment with business strategy, and the adoption of modern SAP principles, specifically focusing on Clean Core architecture and the Business Data Fabric strategy. * Solid understanding of enterprise architecture, data migration strategies, and integration patterns. * Cloud Innovation: We integrate AI and Data Intelligence within the SAP environment to transform data into a true performance lever. * Data & Analytics Transformation: Oversee the deployment of the Business Data Fabric using SAP Datasphere and manage the modernization roadmap for legacy environments (SAP BW) migrating to the Cloud (BDC/Datasphere).
Understanding of software design patterns and architecture principles, such as Clean Software Architecture, Data Structures, Microservices, Event-Driven, MVC, and SOA - By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. * Take on a prominent role in the architecture and design of web solutions. * Develop a flexible and well-structured back end architecture. * Strong knowledge of the Python programming language and its core concepts such as object-oriented programming, functional programming and data structures. * Familiarity with data analysis and visualization libraries such as pandas, numpy and matplotlib.
Understanding of software design patterns and architecture principles, such as Clean Software Architecture, Data Structures, Microservices, Event-Driven, MVC, and SOA - By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. * Take on a prominent role in the architecture and design of web solutions. * Develop a flexible and well-structured back end architecture. * Strong knowledge of the Python programming language and its core concepts such as object-oriented programming, functional programming and data structures. * Familiarity with data analysis and visualization libraries such as pandas, numpy and matplotlib.
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Requirements gathering, functional requirements, user stories, and documentation business/data/application/technology architectures, requirements and business rules * Business process models/design, logical data models, standards and guidance
Requirements gathering, functional requirements, user stories, and documentation business/data/application/technology architectures, requirements and business rules * Business process models/design, logical data models, standards and guidance
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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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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. * Clean Core Architecture & Development: Design and implement "Upgrade-stable" extensions using SAP Business Technology Platform (BTP) for Side-by-Side developments and ABAP Cloud for On-Stack extensibility. * 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. * Strong knowledge of SAP modules (FI/CO, MM, SD, PP, IS-U) and S/4HANA architecture. * Proficiency in ABAP Cloud, CDS Views, Fiori/UI5, and a solid understanding of S/4HANA architecture.
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. * Clean Core Architecture & Development: Design and implement "Upgrade-stable" extensions using SAP Business Technology Platform (BTP) for Side-by-Side developments and ABAP Cloud for On-Stack extensibility. * 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. * Strong knowledge of SAP modules (FI/CO, MM, SD, PP, IS-U) and S/4HANA architecture. * Proficiency in ABAP Cloud, CDS Views, Fiori/UI5, and a solid understanding of S/4HANA architecture.
No match yet? There are 114 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. * Align with enterprise platforms and architecture standards. 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. * Guide solution architecture and technology choices. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage.
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. * Align with enterprise platforms and architecture standards. 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. * Guide solution architecture and technology choices. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage.
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. * Align with enterprise platforms and architecture standards. 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. * Guide solution architecture and technology choices. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage.
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. * Align with enterprise platforms and architecture standards. 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. * Guide solution architecture and technology choices. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage.
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. * Lead technical direction for complex, ambiguous problems and influence system architecture across teams. * Experience with real-time systems and streaming data pipelines * Knowledge of multimodal data processing (vision, audio, text, sensor fusion) * Strong system design and architecture skills across cloud edge environments
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. * Lead technical direction for complex, ambiguous problems and influence system architecture across teams. * Experience with real-time systems and streaming data pipelines * Knowledge of multimodal data processing (vision, audio, text, sensor fusion) * Strong system design and architecture skills across cloud edge environments
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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. This by using modern design principles such as Event-Driven Architecture & Domain Driven Design * Modern design principles (Event-Driven Architecture & Domain-Driven Design) and know the best practices to implement them
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. This by using modern design principles such as Event-Driven Architecture & Domain Driven Design * Modern design principles (Event-Driven Architecture & Domain-Driven Design) and know the best practices to implement them
Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources. 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 and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures. * Contribute to system architecture decisions including agent orchestration, ...
Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources. 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 and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures. * Contribute to system architecture decisions including agent orchestration, ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Design end-to-end Copilot architectures that focus on the readiness, security, and extensibility of the Microsoft 365 environment, leveraging services like Microsoft Purview (DLP, Retention, Sensitivity Labels) and Entra ID (Identity, Conditional Access, Permissions Hygiene). * Coordinate IT Operations, Information Security, and Business teams to ensure a secure foundation for (permissions, data classification, etc.) and maximize user adoption. Experience: X+ years of experience in Solution Architecture, Consulting, and managing large-scale M365 implementation projects (e.g., SharePoint, Teams, OneDrive, Security/Purview, Power Platform).
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Design end-to-end Copilot architectures that focus on the readiness, security, and extensibility of the Microsoft 365 environment, leveraging services like Microsoft Purview (DLP, Retention, Sensitivity Labels) and Entra ID (Identity, Conditional Access, Permissions Hygiene). * Coordinate IT Operations, Information Security, and Business teams to ensure a secure foundation for (permissions, data classification, etc.) and maximize user adoption. Experience: X+ years of experience in Solution Architecture, Consulting, and managing large-scale M365 implementation projects (e.g., SharePoint, Teams, OneDrive, Security/Purview, Power Platform).
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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. * Understanding of APIs, microservices, and modern software architectures. * 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. * Understanding of APIs, microservices, and modern software architectures. * Strong analytical skills with experience in data-driven decision making.
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Architecture Advisory: Lead the technical evaluation and selection of enterprise-grade platforms (e.g., Ping Identity, Azure AD, CyberArk), ensuring they integrate seamlessly into a wider security stack. * Experience: 5+ years in Cybersecurity Strategy or IAM Architecture.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Architecture Advisory: Lead the technical evaluation and selection of enterprise-grade platforms (e.g., Ping Identity, Azure AD, CyberArk), ensuring they integrate seamlessly into a wider security stack. * Experience: 5+ years in Cybersecurity Strategy or IAM Architecture.
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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. 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.
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Architecture & Design:Design and implement highly available, scalable, and secure cloud infrastructure solutions on AWS,leveraging best practices and architectural patterns. * Collaboration & Communication: Collaborate effectively with other engineering teams (e.g., development, security, data) to deliver seamless and integrated solutions.
Architecture & Design:Design and implement highly available, scalable, and secure cloud infrastructure solutions on AWS,leveraging best practices and architectural patterns. * Collaboration & Communication: Collaborate effectively with other engineering teams (e.g., development, security, data) to deliver seamless and integrated solutions.
Contributing to the discussion of software architecture * You have experience with data modelling and with a source control system such as Git, Github, Azure DevOps
Contributing to the discussion of software architecture * You have experience with data modelling and with a source control system such as Git, Github, Azure DevOps
Strong understanding of Systems Architecture, with the ability to implement complex, multi-device, interrelated systems * Solid Software Engineering background (algorithms, data structures)
Strong understanding of Systems Architecture, with the ability to implement complex, multi-device, interrelated systems * Solid Software Engineering background (algorithms, data structures)
Strong understanding of Systems Architecture, with the ability to implement complex, multi-device, interrelated systems * Solid Software Engineering background (algorithms, data structures)
Strong understanding of Systems Architecture, with the ability to implement complex, multi-device, interrelated systems * Solid Software Engineering background (algorithms, data structures)
Handle data bearing devices (ex. Hard drives, solid state drives, etc.)
Handle data bearing devices (ex. Hard drives, solid state drives, etc.)
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