My client is a dynamic IT company delivering value-driven IT solutions within a collaborative, respectful, and fun environment. They are looking for a talented and driven Senior Data Engineer to become part of our innovative data engineering team. In this role, you’ll integrate software, systems, and data to transform raw information into valuable insights. Collaborating with data scientists, analysts, and various stakeholders, you’ll play a key role in ensuring our data is accessible, accurate, and optimised for performance.

Key Duties and Responsibilities:
Architect robust data pipelines (ETL) across diverse sources.
Design and build data layers to support big data analytics.
Develop, test, and maintain high-quality data pipelines and data layers.
Deliver quality-driven, value-added solutions.
Conduct peer reviews and uphold SDLC and documentation standards.
Maintain comprehensive technical documentation.
Understand business needs and analyse client requirements.
Identify and visualise relevant data to support robust solutions.
Minimum Requirements:
Bachelor’s Degree in Computer Science or IT.
4+ years of ETL and data warehouse experience.
Experience with AWS or Azure or GCP.
PostgreSQL, MySQL, SQL Server experience.
Data Analysis and modelling experience essential.
Python, Java, Korn shell scripting.
Version control systems experience.
Agile Methodology.