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About the Role

As a Data Engineer, you will promote data as a key differentiator for Nomia, driving innovation and building intelligent systems for internal use, customers, and suppliers globally. You will be a key member of the team focused on designing and implementing cutting-edge Agentic solutions.

Responsibilities

• 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 data quality and completeness
• 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
• Ensure compliance with Nomia's data protection and information security policies
• Promote inclusivity, innovation, and ethical use of AI across the organisation
• Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves

Requirements

• 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

Skills

• Data Engineering
• Microsoft Azure
• Data Factory
• Azure Synapse
• Azure Databricks
• ETL Pipelines
• PostgreSQL
• T-SQL
• Python
• Pandas
• PySpark
• Python notebooks
• Event-driven architecture
• LLMs
• Prompt engineering
• Data modelling

Location

• Hybrid

Work Type

• Hybrid

Experience Level

• 3+ years

About the Company

• Nomia