We are looking for a skilled Data Engineer, AI Engineer, or a hybrid profile who can excel across both domains. If you are passionate about building robust data foundations and operationalizing cutting‑edge AI solutions, this role offers the opportunity to work end‑to‑end across modern data and AI ecosystems.
We are looking for a skilled Data Engineer, AI Engineer, or a hybrid profile who can excel across both domains. If you are passionate about building robust data foundations and operationalizing cutting‑edge AI solutions, this role offers the opportunity to work end‑to‑end across modern data and AI ecosystems.
Tasks
Data Engineering
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure services.
- Build and optimize ETL/ELT workflows to support analytics and machine learning use cases.
- Ensure data quality, integrity, and security across all data pipelines and storage layers.
- Contribute to data modeling, data warehousing, and data integration initiatives.
- tems.
AI Engineering
- Design/Develop complex solutions for AI‑driven applications, including LLM‑based systems.
- Deploy, operationalize, and maintain AI/ML models in production environments.
- Build cloud infrastructure for Machine Learning and AI workloads, with a focus on scalable, secure, and automated operations.
- Integrate front‑end and back‑end systems with ML frameworks via APIs.
Behind the scenes
Requirements
- Bachelor’s degree or equivalent training in Computer Science or a related IT field.
- Relevant professional experience in Data Engineering, AI Engineering, or both.
- Strong programming skills in Python, SQL, and Spark.
- Hands‑on experience with Azure services (ADF, Databricks, Azure SQL, etc.).
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing.
- Confident use of machine learning and AI tools in Python, including cloud‑based ML/LLM frameworks.
- Strong knowledge of ML/AI methods and infrastructure for deployment and operation (Docker, Kubernetes, MLflow, vector databases, etc.).
- Excellent communication, consulting skills, and ability to work with stakeholders at all levels.
- Fluent English.
- Willingness to travel for project‑related activities.
Company
About Lufthansa Industry Solutions Sh.p.k.
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