Data Engineer I

About the role

We are seeking a Data Engineer I to join Mozn’s implementation and professional services team. In this position you will design, build and optimise data pipelines that power our FOCAL system, collaborating closely with machine‑learning engineers, software developers and engagement managers.

Key responsibilities

• Develop and maintain scalable ETL/ELT pipelines supporting the FOCAL platform.
• Design efficient database schemas, indexing strategies and query execution plans to optimise SQL query generation.
• Pre‑process, transform and structure large‑scale datasets for machine‑learning models.
• Monitor pipeline performance, reliability and scalability, implementing validation and logging mechanisms.
• Support both real‑time and batch query execution by optimising database interactions.
• Stay current with best practices in data engineering, database optimisation and ML infrastructure.

Required profile

• Minimum 2 years of experience in data engineering or a related technical role.
• Strong proficiency in Python for data processing and ETL development.
• Advanced SQL skills with experience writing complex queries.
• Solid understanding of dimensional modelling (star and snowflake schemas).
• Experience designing or consuming RESTful APIs and working with Linux command‑line environments.

Required skills

• Python
• SQL
• Dimensional modelling
• RESTful API design/consumption
• ETL/ELT pipeline development
• Linux command line
• Docker (containerisation)
• Apache Airflow (workflow orchestration) – nice to have
• PySpark or other distributed processing frameworks – nice to have
• Flask / FastAPI – nice to have
• OAuth, API keys, JWT – nice to have
• Kafka, RabbitMQ – nice to have
• Data‑visualisation tools – nice to have