As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
Design and implement data pipelines for cleaning and enriching data
Be responsible for the data lake
Find and curate third-party datasets
Prepare data for use in experiments
Design and maintain notebooks to measure the quality and completeness of data
Understand real-world use cases and translate them into actionable plans
Conduct experiments to validate design choices or theories
Create, manage, monitor, and maintain data models
Design and implement ETL processes
Document all aspects of your work
Stay abreast of advancements in data engineering and research new software and techniques
Participate in code reviews, technical discussions, and cross-functional meetings
3+ years' experience in data engineering
Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
Demonstrable experience designing and implementing ETL pipelines
Proficient in PostgreSQL and T-SQL
Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
Proficient in the use of Python notebooks
Experience with event-driven architecture
Familiarity with LLMs and prompt engineering
Proficient in writing clean, maintainable code and well-documented data pipelines
Wide knowledge of different database types and designs
Familiarity with data modelling techniques
Genuine enthusiasm for learning new ideas and techniques
