onsite
Data Platform Engineering Manager - Hargreaves Lansdown
Engineering Manager
Lead the design and evolution of a scalable data platform, driving enterprise-wide transformation through BI, analytics, and machine learning, while partnering with technical and business stakeholders to deliver high‑value data products.
About the role
Key Responsibilities
- Architect and maintain a robust, scalable data platform that supports analytics, BI, and machine learning workloads across the organization.
- Collaborate with business and technical leaders to gather requirements, define data models, and ensure alignment with enterprise data strategy.
- Lead a cross‑functional engineering team, setting technical direction, code quality standards, and fostering a culture of continuous improvement.
- Drive the adoption of cloud services (AWS) and modern data technologies (e.g., Spark, Kafka) to enhance data ingestion, processing, and delivery pipelines.
- Ensure data governance, security, and compliance across all data assets, implementing best practices for metadata management and data quality.
Requirements
- 10+ years of experience in data engineering or platform architecture, with at least 3 years in a managerial role.
- Proven expertise in building enterprise data platforms using AWS, Spark, and related big‑data technologies.
- Strong background in BI, analytics, and machine learning data pipelines.
- Excellent communication skills, able to translate complex technical concepts to non‑technical stakeholders.
- Hands‑on experience with Python, SQL, and data modeling best practices.
Skills
machine learningaws