Data Engineer designing and building AI and automation initiatives for Empire State Realty Trust. Collaborating with various teams to deliver scalable data and AI solutions.
About the role
- Data Engineer designing, building, and maintaining data pipelines and APIs for QS's data and analytics platforms. Collaborating with data scientists and business intelligence to drive data-driven decisions.
Responsibilities
- Design and maintain data pipelines, including integrating real-time and streaming data to support dynamic business needs.
- Build and optimize data transformations, ensuring that data quality and lineage are consistently embedded throughout all processes.
- Contribute to the design and development of core data models and structures for our data lakehouses and marts, implementing and adhering to architectural best practices.
- Develop and maintain APIs and delivery mechanisms to serve both internal and external consumers, ensuring reliable and scalable data access.
- Support knowledge graph enrichment by modeling relationships, performing entity resolution, and integrating vector search to enhance data connectivity and insights.
- Apply business acumen to effectively interpret data requirements, ensuring that technical solutions align with the underlying business purpose and add measurable value.
- Implement data quality tests, data contracts, and schema management to maintain high standards of data integrity and consistency.
- Document pipelines and workflows, contributing to comprehensive metadata and lineage documentation for transparency and ongoing improvement.
Requirements
- Demonstrated ability to solve complex problems with curiosity and resourcefulness.
- Effective communication skills, with the capacity to clearly explain technical concepts to colleagues and stakeholders of varied backgrounds.
- Sound judgment in balancing technical design decisions with real business needs.
- Adaptability and a collaborative mindset, thriving in fast-paced and evolving environments.
- Entrepreneurial spirit and initiative, with a track record of driving innovation and delivering results.
- Proven proficiency in SQL and Python, and experience working with cloud data platforms such as Snowflake or equivalent.
- Hands-on experience with orchestration tools (e.g., Glue, Airflow, dbt) or similar technologies enabling scalable and reliable data delivery.
- Ability to model and manage core data structures for data lakehouses, marts, and graph-based designs.
- Experience with APIs (REST, GraphQL) and event-driven design patterns is appreciated.
- Exposure to streaming frameworks and machine learning / artificial intelligence workflows is valued.
- Bachelor’s degree or equivalent professional experience is welcomed; we encourage candidates from diverse backgrounds and non-traditional pathways to apply.
Benefits
- Competitive base salary
- Access to an annual bonus scheme (for qualifying roles only)
- 20 days annual leave, plus public holidays
- Generous maternity and paternity leave
- Access to an Employee Assistance Programme (EAP) and MiCare health
- A vibrant social environment and multicultural and multinational culture
- Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
- Support for volunteering and study leave
- Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
Job title
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