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Our financial services client in Luxembourg is looking for Senior Data Engineer.
This is a contract/freelance role for up to 3 years.
The role is onsite 5 days per week at client offices in Luxembourg.
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
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