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.