Integrated Worlds GmbH

Data Engineer

• Development and further enhancement of our Azure-based data platform – from the data lake to the analytical front end.
• Design, implementation and operation of data pipelines, e.g., using Azure Data Factory, Synapse Pipelines or comparable orchestration tools.
• Processing large volumes of data on Databricks / Apache Spark (PySpark) or similar big-data frameworks.
• Use of cloud data lakes / object storage (e.g., Azure Data Lake, S3, GCS), including security and access models.
• Modeling analytical data structures (e.g., dimensional models or Data Vault).
• Delivering reports and analytical models via BI and analytics tools such as Power BI, Tableau or comparable solutions.
• Ensuring data quality, consistency, performance and governance.
• Integration of internal and external systems, including B2B and EDI data flows.
• Close collaboration within cross-functional teams, including interaction with executive management.

Data Engineer – Cloud Data & Analytics

DevOps Engineer

• Create, operate, and improve CI/CD pipelines with integrated security and code quality scans
• Operate and manage Kubernetes clusters, including deployments, scaling, and troubleshooting
• Set up, maintain, and operate Data Spaces
• Implement GitOps-based deployments with Argo CD
• Manage deployment configurations and packages with Helm
• Ensure system reliability through monitoring and observability
• Configure and manage autoscaling
• Work closely with development teams in an agile environment

Senior DevOps Engineer

• Create, operate and improve CI/CD pipelines with integrated security and code quality scans.
• Operate and manage Kubernetes clusters, including deployments, scaling, and troubleshooting.
• Set up, maintain, and operate Data Spaces.
• Implement GitOps-based deployments with Argo CD.
• Manage deployment configurations and packages with Helm.
• Ensure system reliability through monitoring and observability.
• Configure and manage autoscaling.
• Work closely with development teams in an agile setup.

Data Analyst

• Develop and enhance our Azure-based data platform – from the data lake to the analytical frontend
• Design, implement, and operate data pipelines using tools such as Azure Data Factory, Synapse Pipelines, or comparable orchestration tools
• Process large-scale data using Databricks / Apache Spark (PySpark) or similar big data frameworks
• Work with cloud data lakes / object storage (e.g., Azure Data Lake, S3, GCS), including security and access models
• Model analytical data structures (e.g., dimensional models or Data Vault)
• Deliver reports and analytical models via BI and analytics tools such as Power BI, Tableau, or similar solutions
• Ensure data quality, consistency, performance and governance
• Integrate internal and external systems, including B2B and EDI data flows
• Collaborate closely in cross-functional teams, up to the executive level
• With growing experience, take responsibility for architecture decisions, technical guidelines, and sustainable end-to-end solutions.

Data Engineer – Cloud Data & Analytics

Senior DevOps Engineer

Senior DevOps Engineer

Data Engineer – Cloud Data Analytics