Join our team as a Data Engineer and play a pivotal role in shaping the future of our data infrastructure. You will be instrumental in designing, building, and optimizing scalable data pipelines and owning key components of our data warehouse. This position demands a seasoned technical expert adept at managing large datasets, crafting efficient SQL and Python code, and collaborating with senior leadership and fellow engineers. Beyond establishing robust data foundations and AI-driven solutions, you'll contribute to setting team-wide standards and best practices, advancing data quality and AI readiness.

This opportunity offers a chance to build the next generation of our data systems, moving beyond foundational development to lead critical areas of our data warehouse. You will be a key contributor in delivering sophisticated, scalable data solutions that power innovation and strategic decision-making.

Design, construct, and maintain efficient data pipelines for ingestion, processing, and storage. Implement comprehensive quality checks and monitoring systems to ensure data integrity and reliability.

Develop and execute complex SQL queries for data extraction, transformation, in-depth analysis, and automated reporting. Architect and build scalable data models and foundations that effectively support AI/ML initiatives.

Create, test, and deploy intelligent agents using Python and the Google ADK framework to automate diverse tasks, including data analysis, report generation, and system orchestration. Collaborate closely with senior stakeholders, data scientists, and AI teams to comprehend intricate requirements and design resilient, long-term data solutions.

Build tools designed to streamline data processes, accelerate project timelines, and enhance overall operational efficiency. Actively monitor, troubleshoot, and optimize data systems and pipelines for peak performance.

A Bachelor's degree or equivalent practical experience is required.

Four years of hands-on experience in data engineering, data infrastructure, or data analytics is essential. Proficiency in database administration techniques or data engineering practices, alongside software development in Java, C++, Python, Go, or JavaScript, is a must.

Candidates with a Master's degree in a relevant field and five years of experience in data engineering, data infrastructure, or data analytics will be strongly considered. Experience in delivering and managing complex data projects from initial concept through to production deployment is highly valued.