Your contribution to TenneT
What does an Cloud Engineer do at TenneT?
As an Cloud engineer, you also help to ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You help to identify and troubleshoot operational and data quality issues. You also design, implement, monitor, and optimize data platforms to meet the data pipelines. Further you are responsible for the installation and configuration of additional services that support the business and data engineers in their decision making process. Also you have a hands-on mentality with strong focus on platform engineering.
What do we expect from you ?
• Hands on design, develop, and implement data solutions using Azure services.
• Azure Kubernetes Service (AKS) knowledge.
• Build and maintain CI/CD pipelines for efficient and automated deployment and testing of data engineering processes.
• Utilize scripting and development skills in languages such as Python, Java, and other relevant languages to enhance data processing and manipulation.
• Demonstrate expertise in Azure services, ensuring efficient data storage, data ingestion, data transformation, and data analytics.
• Develop and integrate APIs to enable smooth data communication and interaction with external systems.
• Implement automated workflows and integrations.
• Work with IAC to provision and manage cloud infrastructure on Azure.
Your profile and background
Required Skills and Qualifications:
• Strong knowledge and experience with Azure services, including AKS, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.
• Proficiency in continuous integration and continuous deployment (CI/CD) methodologies and tools.
• Solid scripting and development skills, with expertise in Python, Java and SQL.
• Experience managing cloud infrastructure.
• Familiarity with automated workflows and integrations.
• Understanding of API development and integration.
• Excellent problem-solving abilities and a proactive approach to troubleshooting and optimising data engineering processes.
• Strong communication skills and the ability to work collaboratively in a team environment.
• Knowledge of big data technologies and frameworks like Hadoop, Spark, and Kafka.
Our recruiting process
Our offer
This will be our challenge
Additional information
- As of 1st of March
- The weekly working time is 36-40 hours
- Type of contract is indefinite
Salary
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo onsequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo onsequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.