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Manager, Data Engineer - Sustainability & Emerging Assurance - Deloitte
Data Engineer
Lead a data engineering team delivering scalable, cloud‑based solutions for sustainability and assurance initiatives, leveraging Python, SQL, Spark and AWS to build robust data pipelines and analytical platforms.
About the role
Key Responsibilities
- Design, develop, and maintain high‑performance data pipelines and ETL processes supporting sustainability and emerging assurance services.
- Architect scalable data solutions on AWS, incorporating best practices for security, cost optimization, and reliability.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical specifications and deliver actionable insights.
- Mentor and guide a team of data engineers, fostering a culture of continuous improvement and technical excellence.
- Implement data modeling standards, data quality frameworks, and monitoring tools to ensure data integrity and availability.
Requirements
- 8+ years of experience in data engineering or related technical roles, with a proven track record of building large‑scale data platforms.
- Strong proficiency in Python, SQL, and Apache Spark for data processing and transformation.
- Hands‑on experience with AWS services such as S3, Redshift, Glue, and Lambda.
- Deep understanding of data modeling, schema design, and data warehousing concepts.
- Excellent problem‑solving skills, ability to troubleshoot complex data pipelines, and effective communication with cross‑functional teams.
Skills
pythonsqlapache sparkaws