Data Engineer (m/f)

Experis IT Luxembourg is looking for an experienced Data Engineer to design, build, and operate scalable data pipelines and platform components. The role focuses on Python-based ETL/ELT development, orchestration, cloud infrastructure, and close collaboration with cross-functional teams to deliver reliable and high-quality data products.

Your responsibilities

• Design, build, and optimize scalable Python-based ETL/ELT pipelines.
• Develop and orchestrate data workflows using Dagster, Airflow, or similar tools.
• Build robust ingestion pipelines for batch, incremental, and streaming use cases.
• Integrate internal and external APIs with strong authentication, error handling, and data quality controls.
• Implement and maintain strong data models, including dimensional modelling, Data Vault, and domain-driven structures.
• Support the application lifecycle and help reduce architecture debt.
• Work with Docker, Kubernetes, and GitLab to deploy, operate, and monitor data pipelines.
• Develop and maintain CI/CD pipelines for data workflows and infrastructure components.
• Contribute to infrastructure-as-code initiatives and automated environments.
• Collaborate with data scientists, software engineers, and platform teams.
• Support troubleshooting and incident response across pipelines, integrations, and infrastructure.
• Participate in architecture discussions and contribute to the technical roadmap.

Your profile

• Expert-level Python skills, including pandas, Polars, typing, packaging, testing, and performance optimization.
• Strong experience with Dagster, Airflow, or similar orchestration tools.
• Solid understanding of data modelling, ETL patterns, and performance considerations.
• Hands-on experience with Docker, Kubernetes, and GitLab CI/CD.
• Strong SQL skills and experience with relational databases, preferably MS SQL.
• Practical experience with Azure services such as Databricks, ADLS, and ADF.
• Foundational understanding of Azure networking, AAD, and security concepts, comparable experience with AWS or GCP is also valued.
• 5+ years of experience in data engineering or backend engineering with a strong data focus.
• Experience in regulated environments such as finance, insurance, or healthcare is a strong advantage.
• Strong communication skills and the ability to collaborate across technical and business stakeholders.
• Proactive, detail-oriented, and solution-driven.
• Comfortable working in agile environments and delivering iteratively.
• Able to work independently, under pressure, and with tight deadlines.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Excellent analytical, organizational, and leadership skills.

If you are interested by this opportunity, do not hesitate to apply here !