Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.
About the role
- Data Analytics Engineer responsible for decision models and data pipelines at Midas. Collaborating with teams to ensure accurate data for enhancing user investment experiences.
Responsibilities
- Own the decision models and data pipelines that power all Midas products.
- Collaborate with data scientists, analysts, and product teams to design, develop, and manage data pipelines for Machine Learning, Business Intelligence, and Data Analytics needs.
- Create efficient data models and optimize performance.
- Document data processes to ensure clarity and maintainability across cross-functional teams.
Requirements
- Builds robust, tested data pipelines using SQL, Python, and orchestration tools like Airflow (but remains tool-agnostic and adaptable)
- Designs data models that support causal inference, experimentation, and self-service data onboarding for all parties
- Writes clean, version-controlled code and integrates data quality checks into every pipeline
- Thinks in systems — designs for monitoring, debugging, and long-term maintainability from day one
- 5+ years of experience in data engineering, analytics, or a related field.
Benefits
- Health insurance
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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