Data Engineer (Senior Associate), Technology Consulting

Role summary

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The role requires a degree in computer science, engineering, information systems, or a related discipline, together with professional experience in data engineering or technology consulting. Candidates should be comfortable designing and building data pipelines, developing ETL processes, working with cloud platforms, databases, and data warehouses, and using tools such as Python, SQL, Spark, or similar technologies. Experience with data modelling, data quality, governance, DevOps practices, and modern analytics platforms is valuable. As a Senior Associate, the candidate is expected to manage deliverables, work directly with clients, contribute to solution design, communicate clearly with technical and business stakeholders, and support junior team members. Consulting experience, adaptability, and a strong interest in emerging technologies are also important.

About the employer

EY, formerly Ernst & Young, is a global professional services organisation providing assurance, consulting, strategy and transactions, and tax services. Its Technology Consulting practice helps organisations modernise technology environments, improve data and analytics capabilities, adopt cloud platforms, strengthen cybersecurity, and deliver digital transformation programmes. EY operates across many industries and combines business consulting with technical implementation expertise. In Singapore, the firm serves large multinational companies, government organisations, financial institutions, and growing businesses. Employees typically work in multidisciplinary teams and may support regional or global projects. EY places emphasis on professional development, collaboration, integrity, and creating long-term value for clients. The company offers structured learning, exposure to varied industries, and opportunities to work with modern enterprise and data technologies, although consulting work can involve demanding deadlines, client travel, and changing priorities.