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Senior Full-Stack JavaScript/TypeScript Developer/Architect met Database & Cloud affiniteit
Senior Full-Stack JavaScript/TypeScript Developer/Architect met Database & Cloud affiniteit
An anonymous Company is hiring
Antwerpen-Berchem
Partially remote
Je ontwerpt de multi-tenant structuur, migreert de database, zet de pipelines op (alles volgens goede security standaarden) — en daarna bouw je gewoon mee aan features. * CI/CD pipelines opzetten die je zelf zou willen gebruiken - o CI/CD pipelines voor staging en productie
Je ontwerpt de multi-tenant structuur, migreert de database, zet de pipelines op (alles volgens goede security standaarden) — en daarna bouw je gewoon mee aan features. * CI/CD pipelines opzetten die je zelf zou willen gebruiken - o CI/CD pipelines voor staging en productie
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Opbouwen van een duidelijke en voorspelbare pipeline met regelmatige forecasts en betrouwbare CRM-rapportering
Opbouwen van een duidelijke en voorspelbare pipeline met regelmatige forecasts en betrouwbare CRM-rapportering
NEW
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Performance Tracking: Maintain accurate records of sales activities, pipeline development, and client feedback using CRM tools.
Performance Tracking: Maintain accurate records of sales activities, pipeline development, and client feedback using CRM tools.
Je helpt bij het opzetten en optimaliseren van data pipelines, zorgt voor een stabiele en veilige datastroom en waakt over data governance en kwaliteit.
Je helpt bij het opzetten en optimaliseren van data pipelines, zorgt voor een stabiele en veilige datastroom en waakt over data governance en kwaliteit.
CI/CD pipelines * kan je iets vertellen over PWA, composer, git, npm, linux servers, CI/CD, Docker, pipelines,…
CI/CD pipelines * kan je iets vertellen over PWA, composer, git, npm, linux servers, CI/CD, Docker, pipelines,…
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Ensure there is a pipeline of leadership talent to fuel growth
Ensure there is a pipeline of leadership talent to fuel growth
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Je helpt bij het opzetten en optimaliseren van data pipelines, zorgt voor een stabiele en veilige datastroom en waakt over data governance en kwaliteit. • Ontwerpen, bouwen en onderhouden van data pipelines en modelleren van datasets binnen Microsoft Fabric.
Je helpt bij het opzetten en optimaliseren van data pipelines, zorgt voor een stabiele en veilige datastroom en waakt over data governance en kwaliteit. • Ontwerpen, bouwen en onderhouden van data pipelines en modelleren van datasets binnen Microsoft Fabric.
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Implement CI/CD pipelines for infrastructure deployments. * Experience with CI/CD pipelines and DevOps principles.
Implement CI/CD pipelines for infrastructure deployments. * Experience with CI/CD pipelines and DevOps principles.
Define and implement practices, including CI/CD pipelines (Azure DevOps), infrastructure as code (ARM templates, Bicep, Terraform), and automated testing. * Experience with Azure DevOps (Pipelines, Repos, Artifacts, Test Plans) or similar CI/CD tools.
Define and implement practices, including CI/CD pipelines (Azure DevOps), infrastructure as code (ARM templates, Bicep, Terraform), and automated testing. * Experience with Azure DevOps (Pipelines, Repos, Artifacts, Test Plans) or similar CI/CD tools.
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.). Optimize pipeline performance for efficiency and cost-effectiveness. * Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.
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.). Optimize pipeline performance for efficiency and cost-effectiveness. * Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.
Easy Apply
Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
Experience with data warehousing, ETL/ELT pipelines, real-time data streaming technologies, data mesh architectures and data mesh organisations is a plus
Experience with data warehousing, ETL/ELT pipelines, real-time data streaming technologies, data mesh architectures and data mesh organisations is a plus
Continuous Integration/Continuous Deployment (CI/CD): Familiarity with CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment processes.
Continuous Integration/Continuous Deployment (CI/CD): Familiarity with CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment processes.
Solid understanding of DevOps principles and CI/CD pipelines (Azure DevOps, GitHub Actions).
Solid understanding of DevOps principles and CI/CD pipelines (Azure DevOps, GitHub Actions).
•CI/CD Pipeline Setup and Management: Design, implement, and maintain CI/CD pipelines.
•CI/CD Pipeline Setup and Management: Design, implement, and maintain CI/CD pipelines.
You can build and execute account plans, resulting in a robust pipeline
You can build and execute account plans, resulting in a robust pipeline
Strategic Growth: Architect and execute account plans to build a robust, high-value sales pipeline focused on new logo acquisition and expansion within key corporate and enterprise accounts. * Proven ability to develop and execute comprehensive account plans that consistently result in a robust sales pipeline.
Strategic Growth: Architect and execute account plans to build a robust, high-value sales pipeline focused on new logo acquisition and expansion within key corporate and enterprise accounts. * Proven ability to develop and execute comprehensive account plans that consistently result in a robust sales pipeline.
Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java
Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java
Easy Apply
Build and maintain data pipelines for data ingestion, processing, and transformation
Build and maintain data pipelines for data ingestion, processing, and transformation
Easy Apply
Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java
Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java
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. * Expert proficiency in one or more programming languages used for pipeline development: Python (preferred), Golang, or Java.
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. * Expert proficiency in one or more programming languages used for pipeline development: Python (preferred), Golang, or Java.
Ervaring met een van volgende MikroTik, Cisco, Linux, Terraform, VMware/Proxmox (virtualisatie), containers en DevOps automatisatie inclusief Gitlab Pipelines is een plus
Ervaring met een van volgende MikroTik, Cisco, Linux, Terraform, VMware/Proxmox (virtualisatie), containers en DevOps automatisatie inclusief Gitlab Pipelines is een plus
Design & Architecture: Architect, build, and maintain scalable data pipelines, data models, and Lakehouse architectures using OneLake, Data Factory, and Synapse Data Engineering/Warehouse, Databricks.
Design & Architecture: Architect, build, and maintain scalable data pipelines, data models, and Lakehouse architectures using OneLake, Data Factory, and Synapse Data Engineering/Warehouse, Databricks.
Be the primary sales driver, managing a sales pipeline to deliver to quarterly/annual quota
Be the primary sales driver, managing a sales pipeline to deliver to quarterly/annual quota
Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering.
Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering.