Senior Data Engineer (Python / AWS / ML Pipelines)

About the role

We are seeking a Senior Data Engineer to design, build, and operate large‑scale data and machine‑learning pipelines in a production environment. The role combines data engineering, cloud infrastructure, and MLOps to turn models into reliable, scalable workflows.

Key responsibilities

• Build, maintain and improve production‑grade data and ML pipelines supporting forecasting and data‑driven decision‑making.
• Develop ETL and data‑processing workflows using Python, ensuring scalability and reliability.
• Design and orchestrate workflows with Apache Airflow and AWS Step Functions.
• Utilise AWS Glue for data transformation and pipeline execution.
• Support deployment and operationalisation of ML models using AWS SageMaker.
• Monitor pipeline health, troubleshoot issues and enhance reliability, scalability and efficiency.
• Contribute to architectural and technical decisions for the data platform and ML infrastructure.
• Collaborate with distributed, cross‑functional Agile teams and share ideas to improve engineering practices.

Required profile

• Strong professional experience with Python for data engineering and production systems.
• Proven experience building and maintaining data or ML pipelines in production.
• Hands‑on experience with Apache Airflow, AWS Step Functions and AWS Glue.
• Experience deploying and supporting models using AWS SageMaker.
• Solid understanding of reliability and performance at scale.
• Excellent written and verbal English communication skills.

Required skills

• Python
• AWS (Step Functions, Glue, SageMaker, general cloud services)
• Apache Airflow
• Machine‑learning pipeline orchestration
• Data‑processing and ETL
• Monitoring and observability tools (optional)
• GCP (nice to have)

What we offer

• Collegial environment with shared responsibility and decision‑making.
• Agile culture encouraging ideas and technical influence.
• Supportive learning from mistakes and continuous improvement.
• Opportunities to work on diverse projects and broaden technical experience.
• Ongoing training, mentoring and professional development.
• Career growth, exposure to new technologies and challenges.
• Possibility of business travel and flexible working arrangements.
• Additional salary, healthcare and other benefits according to local terms in Slovenia.