DATA ENGINEER

KEY RESPONSIBILITIES:

• Design, build, and maintain scalable data pipelines and integration solutions.
• Connect data from multiple operational and business systems into a centralised enterprise data platform.
• Design and maintain modern data warehouse and data lake solutions.
• Develop reliable data models to support reporting and analytics.
• Implement data quality, validation, monitoring, and governance processes.
• Ensure data Cyber security, compliance, and appropriate access controls.
• Optimise data platform performance, reliability, and scalability.
• Implement version control, testing, and deployment best practices.
• Create clear technical documentation and maintain data standards.
• Prepare clean, governed, and AI-ready datasets for machine learning and advanced analytics.
• Collaborate with internal stakeholders to understand business requirements and deliver practical data solutions.

WHAT WE ARE LOOKING FOR:

Essential:

• 3+ years' experience in Data Engineering or a similar role.
• Bachelor’s degree in computer science or data engineering.
• Strong experience designing and supporting production data pipelines.
• Experience working within Microsoft cloud data environments.
• Advanced SQL skills.
• Strong Python or equivalent programming skills for data integration and automation.
• Experience integrating enterprise systems through databases, APIs, or cloud services.
• Strong understanding of data warehousing, dimensional modelling, and ETL/ELT principles.

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Skills

• Machine Learning
• SQL
• Python