Senior Data Engineer (Python / AWS / ML Pipelines)

📋 Description Build, maintain, and improve production-grade data and machine learning pipelines supporting Develop ETL and data-processing workflows using Python, ensuring they are scalable, reliable, and Design and orchestrate workflows using technologies such as Apache Airflow and AWS Step Functions. Use AWS Glue for data processing, transformation, and pipeline execution. Support the deployment and operationalization of machine learning models using AWS SageMaker. Work closely with Data Scientists and ML Engineers to move models and analytical solutions reliably 🎯 Requirements Strong professional experience with Python and its application to data engineering and production Proven experience building and maintaining data pipelines and/or machine learning pipelines in Hands-on experience with Apache Airflow for workflow orchestration. Practical experience with AWS Step Functions and AWS Glue. Experience deploying and supporting machine learning models using AWS SageMaker. Strong hands-on experience with AWS cloud services and cloud-based production environments. 🎁 Benefits Collegial working environment where responsibility and decision-making are shared across the team. Agile culture where employees are encouraged to contribute ideas and influence technical direction. Supportive approach to learning from mistakes and continuously improving ways of working. Opportunities to work on different projects and broaden your technical experience. Ongoing training, mentoring, and professional development. Opportunities for career growth and exposure to new technologies and challenges.