Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Senior Data Engineer developing cloud-based data solutions for commercial real estate. Collaborating in an Agile environment to enhance data integrity and availability across platforms.
Responsibilities
- Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability
- Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation
- Provide leadership and mentorship to junior team members through training, pair programming, and code reviews
- Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals
- Perform analysis on large aggregated (e.g. demographic, geographic, GIS / spatial) datasets
Requirements
- A Bachelor’s degree in Computer Science / Engineering or comparable experience
- Excellent programming skills with minimum 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.)
- Extensive database skills with minimum 5 years of experience in either MySQL, SQL, or PostgreSQL
- Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus
- Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail
- Prepared to work independently in a fast-paced, agile environment with the ability to multitask
- Track record of keeping up with new cloud technologies, languages, standards, and practices
- Prior knowledge of finance, real estate data, or mathematics is a plus.
Benefits
- Performance bonus
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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