Description
Dataleaps is hiring a Senior Data Engineer to design and build scalable data platforms and analytics foundations for clients. The role involves creating data pipelines and models, advising on platform strategy, translating business requirements into technical architectures, implementing ELT/ETL pipelines, collaborating with analytics and infrastructure teams, and maintaining engineering quality. Candidates should have 4–6 years of data engineering, data modeling, or data platform engineering experience, along with knowledge of data lakehouse architecture, dbt, SQL, Python, and cloud platforms such as GCP, Azure, or AWS.
