EY is seeking a Senior Data Engineer to lead the design and implementation of scalable, automated data pipelines using PySpark and AWS services. The role requires technical leadership, team management, agile delivery, and stakeholder collaboration.
Requirements
- 3+ years of experience in Data Engineering, Data Architecture, or a related field
- 3+ years in a formal leadership or management role
- Bachelor’s or master’s degree in computer science, Engineering, or a related quantitative field
- Relevant certifications (e.g., AWS Certified Data Engineer – Associate/Professional) are highly preferred
- Expertise in AWS Ecosystem, Big Data Processing, Advanced SQL, CI/CD & DevOps, and Data Modelling
- Proven experience managing data projects in Jira, tracking sprint velocity, and removing blockers for the team
Benefits
- Competitive remuneration package
- Flexible working and career development
- Total Rewards package including holidays, health and well-being, insurance, savings and discounts
- Support, coaching and feedback from colleagues
- Opportunities to develop new skills and progress career
To apply for this job please visit careers.ey.com.

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