Data Engineer at PricewaterhouseCoopers (PwC)

Key Responsibilities:

• Assist in the development and maintenance of data pipelines to support the organisation’s data needs.
• Participate in testing and validation to ensure the accuracy and integrity of data solutions.
• Support the implementation of DevOps practices, including CI/CD pipelines and version control.
• Assist with quality assurance processes under the guidance of senior team members.
• Collaborate with team members to gather requirements and contribute to project delivery.
• Assist in optimising data pipelines for performance and scalability.
• Stay up to date with developments in data engineering and DevOps, learning from more senior colleagues.

Qualifications:

• Bachelor,s degree or diploma in Computer Science, Information Systems, or a related field.
• Familiarity with SQL and ETL processes.
• Python advantageous.
• Interest in learning DevOps practices, including CI/CD pipelines and infrastructure as code.
• Strong problem-solving skills with a willingness to learn.
• Good communication and teamwork abilities.
• Attention to detail and a commitment to quality.
• Familiarity with data governance and data security practices is advantageous.