[Remote] Staff Data Engineer
Note: The job is a remote job and is open to candidates in USA. Harnham is a technology-driven organization dedicated to delivering scalable data and AI solutions for enterprise clients. They are seeking a Staff Data Engineer to help shape and deliver modern, enterprise-scale data platforms, define architecture, and drive best practices for AI-ready data systems.
Responsibilities
- Design and deliver scalable data platforms across pipelines, warehouses, and data lakes
- Build and optimise batch and real-time data pipelines
- Define and enforce data governance, quality, and compliance standards
- Support the design of data systems for AI and machine learning, including embeddings and feature pipelines
- Improve platform performance, scalability, and cost efficiency
- Implement monitoring, logging, and CI/CD processes for data systems
- Collaborate with cross-functional teams to deliver end-to-end data solutions
- Mentor engineers and contribute to engineering standards and best practice
Skills
- Strong commercial experience building and scaling distributed data systems
- Expertise in Python, SQL, and either Scala or a similar language
- Deep knowledge of cloud-based data platforms and data warehousing
- Experience with data pipeline orchestration and processing
- Strong experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub
- Solid understanding of data modelling, transformation, and governance frameworks
- Experience working with containerised environments and CI/CD pipelines
- Hands-on experience supporting AI and machine learning data workflows
- Strong communication skills and ability to work across technical and non-technical teams
Company Overview
Company H1B Sponsorship