5 of 5 Fivetran Jobs in Northern Ireland

and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization. Build and maintain data solutions using Snowflake, dbt (data build tool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL. Participate in the development lifecycle using Agile/DevOps methodologies using Azure DevOps. Translate simple to complex requirements … on data. Hands-on skills with a programming language such as Python, Java, Go, etc. Public cloud experience (Azure, AWS or GCP). Writing complex SQL queries. ETL tools (Fivetran, Azure Data Factory) or writing custom data extraction applications, Data Modeling, Data Warehousing and working with large-scale datasets. Experience leveraging DevOps and lean development principles such as Continuous Integration More ❯

developing and optimising data pipelines and infrastructure to ensure efficient data flow across the business. Key Responsibilities Develop, support and optimise robust data solutions using tools like Snowflake, dbt, Fivetran, and Azure Cloud services Collaborate with cross-functional teams to translate business needs into actionable data architecture Design and manage data pipelines and integration workflows, ensuring performance and scalability Engage … Python, Java, Go) Cloud experience (preferably Azure, though AWS or GCP also valuable) Solid grasp of SQL and experience handling large data sets Familiarity with ETL tools such as Fivetran and Azure Data Factory Experience with modern data pipeline design and stream processing Understanding of CI/CD pipelines and experience with tools like Azure DevOps or GitHub/GitLab More ❯

and hard work to the role. Key Responsibilities: Design, develop, and support data solutions, including performance tuning, troubleshooting, and system administration. Build and maintain data solutions using Snowflake, dbt, Fivetran, Azure Cloud, Python, Docker, and SQL. Participate in the development lifecycle using Agile/DevOps methods and Azure DevOps. Translate requirements into actionable tasks. Serve as a data integration expert … role. Proficiency in programming languages like Python, Java, or Go. Experience with cloud platforms (Azure, AWS, or GCP). Strong skills in writing SQL queries. Experience with ETL tools (Fivetran, Azure Data Factory) and working with large datasets. Familiar with DevOps principles and CI/CD practices using tools like Azure DevOps or GitHub. Experience in building modern data pipelines. More ❯

and hard work to the role. Key Responsibilities: Design, develop, and support data solutions, including performance tuning, troubleshooting, and system administration. Build and maintain data solutions using Snowflake, dbt, Fivetran, Azure Cloud, Python, Docker, and SQL. Participate in the development lifecycle using Agile/DevOps methods and Azure DevOps. Translate requirements into actionable tasks. Serve as a data integration expert … role. Proficiency in programming languages like Python, Java, or Go. Experience with cloud platforms (Azure, AWS, or GCP). Strong skills in writing SQL queries. Experience with ETL tools (Fivetran, Azure Data Factory) and working with large datasets. Familiar with DevOps principles and CI/CD practices using tools like Azure DevOps or GitHub. Experience in building modern data pipelines. More ❯

and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization. Build and maintain data solutions using Snowflake, dbt (data build tool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL. Participate in the development lifecycle using Agile/DevOps methodologies using Azure DevOps. Translate simple to complex requirements … focus on data. Hands-on skills with a programming language such as Python, Java, Go, etc. Public cloud experience (Azure, AWS or GCP) Writing complex SQL Queries ETL tools (Fivetran, Azure Data Factory) or writing custom data extraction applications, Data Modeling, Data Warehousing and working with large-scale datasets. Experience leveraging DevOps and lean development principles such as Continuous Integration More ❯