12/15/2025 updated
ML
100 % available
Service Owner & Data Engineer - Digital Data Platform Specialist
Budapest, Hungary
Only remote
Master in Telecommunication TechnologiesApplication Programming Interfaces (APIs)Amazon Web ServicesAnalytic ApplicationsData AnalysisApple Mac SystemsAutomationMicrosoft AzureBash ShellBusiness SoftwareCloud ComputingComputer ProgrammingDatabasesContinuous IntegrationData ArchitectureInformation Engineering
Data Engineering and Pipeline Development
Advanced expertise in CI/CD pipeline development, ETL data pipeline creation, and data architecture design using tools like Snowflake, Databricks, and various cloud platforms
Cloud Infrastructure and DevOps
Comprehensive knowledge of cloud platforms including AWS, Azure, and infrastructure automation using Terraform, Docker, Kubernetes, and various DevOps tools
Database Management and Analytics
Proficient in managing diverse database systems including SQL, DynamoDB, IBM Db2, Azure SQL, and implementing data modeling and analytics solutions
Programming and Scripting
Experience with Python, PowerShell, Bash scripting, and various programming frameworks for automation and development
Web Services and API Development
Knowledge of JSON, XML, YAML, GraphQL, Web Services API, and Postman for API development and testing
Business Applications
Proficiency in SAP Products, Microsoft PowerApps, Workfront, and various business productivity tools
Network and System Administration
Experience with Windows Server, Linux, MAC OS, network management, virtualization, and system troubleshooting
Marketing and Design Tools
Familiarity with Adobe Marketo, Adobe Workfront, Cvent, and various marketing automation platforms
Advanced expertise in CI/CD pipeline development, ETL data pipeline creation, and data architecture design using tools like Snowflake, Databricks, and various cloud platforms
Cloud Infrastructure and DevOps
Comprehensive knowledge of cloud platforms including AWS, Azure, and infrastructure automation using Terraform, Docker, Kubernetes, and various DevOps tools
Database Management and Analytics
Proficient in managing diverse database systems including SQL, DynamoDB, IBM Db2, Azure SQL, and implementing data modeling and analytics solutions
Programming and Scripting
Experience with Python, PowerShell, Bash scripting, and various programming frameworks for automation and development
Web Services and API Development
Knowledge of JSON, XML, YAML, GraphQL, Web Services API, and Postman for API development and testing
Business Applications
Proficiency in SAP Products, Microsoft PowerApps, Workfront, and various business productivity tools
Network and System Administration
Experience with Windows Server, Linux, MAC OS, network management, virtualization, and system troubleshooting
Marketing and Design Tools
Familiarity with Adobe Marketo, Adobe Workfront, Cvent, and various marketing automation platforms
Languages
EnglishFluentFrenchNative speaker
Project history
Project Management: Coordinated efforts across teams to successfully decommission legacy systems, onboard new products, and migrate data workflows to Snowflake. Portfolio Management: Manage numerous internal applications including snowflake databases and various data products. Team Leadership: Lead and manage a team of 15 professionals including service data engineers, data analysts, and incident manager.
CI/CD Pipeline Development: Design and implement CI/CD pipelines using Terraform as deployment tool for infrastructure, replacing current AWS CDK. ETL Data Pipeline Development: Design and deploy ETL pipelines to integrate data streams from various sources into Snowflake tables using Informatica. Automation Processes Creation: Implement automated processes including creating AWS Lambdas for various automations.
ETL Data Pipeline Development: Design and implement ETL data pipelines to support Marketing infrastructure dataflows using Kubernetes and Docker containers. Automation Process Creation: Develop both no-code and code-based automation solutions to streamline data operations. Microservices Development: Collaborate with business team to define requirements and design microservices tailored for optimal application management system.