As an Analytics Engineer, you will be responsible for building robust, scalable analytics infrastructure to empower data-driven decision making. You will work closely with our data team and clients to understand their requirements, design robust data models/pipelines, and ensure data integrity and security, and create commercially sound outputs that deliver to the business needs.
Requirements
- Work closely with our clients to understand business needs and translate them into technical requirements.
- Work with multiple types of data sources (APIs, databases, cloud platforms) to unify data into a centralised lakehouse or data warehouses.
- Develop, test and maintain robust data pipelines used to integrate, transform and deliver data aligned to business requirements.
- Monitor, troubleshoot and enhance the performance and reliability of data pipelines and queries to align with best practices.
- Implement data quality checks and optimisations to validate the accuracy and reliability of data while constantly improving performance and scalability of pipelines.
- Design and implement scalable data models used to support and inform decision-making.
- Detail and maintain clear, comprehensive documentation for data processes, models and flows.
- Take ownership of project management for assigned tasks, ensuring clear understanding of objectives, proactive communication, and the delivery of analytical and architectural solutions aligned with client needs.
- Deliver and present commercially focused outcomes that are actionable by our clients.
- Perform analytics tasks, including data visualization, to translate complex data insights into clear and actionable outputs for stakeholders.
- Create strategies for data integration and ensuring seamless integration of data across various platforms.
Benefits
- Flexible work hours and hybrid work options available.
- Career and development opportunities.