This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments. This organization operate in the healthcare industry so prior experience in the industry whilst not required, is highly advantageous.Key Technical Requirements:Strong hands-on experience developing data pipelines using PythonStrong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)Proven experience with Azure Data Factory (ADF) and Azure SynapseExperience with ETL orchestration tools such as Apache AirflowSkilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQueryComfortable working in Azure and/or hybrid cloud environments (Azure/AWS)Experience supporting machine learning or predictive modeling pipelinesFamiliar with containerization and version control: Docker, Git, and Azure DevOpsUnderstanding of data serialization formats (Parquet, Avro, JSON)Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.This position will require the successful applicant to work 5 days per week on site.