Data Engineer

Data Engineer

Luxembourg, Luxembourg

B2B (6-12 Months)

Tasks:

• Design and implement ETL processes to extract, transform, and load structured, semi-structured, and unstructured data.
• Integrate data into downstream systems including applications, data warehouses, and data lake storage platforms
• Collaborate with data scientists, analysts, and other stakeholders to ensure data availability and usability
• Develop and maintain scalable data pipelines using tools like Python, Kafka, and REST/SOAP APIs
• Manage and optimize relational databases such as Sybase, Oracle, and PostgreSQL
• Automate schema versioning and migrations using Liquibase
• Build and maintain cloud-based data infrastructure on AWS and Azure
• Use Anaconda and Python for data manipulation, scripting, and analytics support
• Ensure data quality, consistency, and security across all environments
• Contribute to the strategy, development, and execution of enterprise-wide data initiatives
• Provide ongoing maintenance and support for the data analytics infrastructure

Requirements:

• Master’s degree in Computer Science, Software Engineering, or a related field.
• Proficiency in English
• Expertise in REST/SOAP APIs, API Gateway, and Kafka.
• Experience with JSF, JBoss Seam, RichFaces frameworks.
• Proficient with Liquibase, SonarQube and GitHub/Nexus/AzureSEA
• Strong experience in CI/CD using Jenkins, Maven, AzureDevOps, Terraform, Ansible, Kurebernetes, Linux, HELM
• At least 7 years experience in provisioning of infrastructure on the cloud mainly AWS and Azure and experience in Terraform, Ansible, Kubernetes, Linux, HELM
• Database management experience with Sybase, Oracle, and PostgreSQL
• Strong analytical and problem-solving skills.
• Minimum 3 years of experience in Agility (SCRUM / Kanban)
• At least 3 years of experience with Anaconda and Python
• At least 5 years of experience in coordinating the 2nd level production support on an application supported by a team of minimum 20 IT people