Cloud Data Engineer

Purpose of the Role:
To design, build, and maintain the systems that collect, process, and analyse data - including pipelines, data warehouses, and data lakes - ensuring data is accurate, accessible, and secure.

Key Responsibilities:

• Develop, maintain, and optimise scalable data pipelines and data storage solutions.

• Design and implement data warehousing and data lake architectures.

• Ensure robust data governance, security, and compliance across all systems.

• Collaborate with cross-functional teams to gather requirements and deliver solutions that support business objectives.

• Apply machine learning and data mining techniques where appropriate to add value.

• Support change and transformation initiatives by providing reliable data systems.

• Identify risks, implement controls, and follow secure coding practices.

• Provide strategic input on data architecture, technology adoption, and best practices.

Skills & Competencies:

• Strong knowledge of database structures, data modelling, and data engineering practices.

• Proficiency in requirements analysis, problem-solving, and strategic thinking.

• Ability to work collaboratively with technical and non-technical stakeholders.

• Business acumen with a focus on delivering data-driven value.

• Strong understanding of risk, controls, and compliance in data management.

Technical Skills:

• Hands-on experience with Python, PySpark, and SQL.

• Experience with AWS (preferred).

• Knowledge of data warehousing (DW) concepts and ETL processes.

• Familiarity with DevOps principles and secure coding practices.

Experience:

• Proven track record in data engineering, data governance, and large-scale data systems.

• Experience working on change and transformation projects.

• Background in applying machine learning or data mining is an advantage.