Key responsibilities will include:

📍Develop workflows that seamlessly combine AI/ML with human expertise to accelerate data collection and improve decision-making processes. 📍Prioritize work based on data-driven insights and outcome-based goals in collaboration with stakeholders. 📍Design and implementation of scalable, reliable data pipelines that ingest, process, and deliver high quality data to downstream applications and analytics platforms. 📍Work closely with engineering teams across the business, ensuring the best technical solutions are adopted, and elevate development standards through knowledge sharing and best practices. 📍Collaborate across engineering, product, and data scientist teams to translate business requirements into technical solutions and ensuring our data assets are organized and accessible. 📍Mentor and guide team members, fostering a culture of continuous improvement, innovation, and open communication. 📍Actively participate in technical discussions about new product directions, data modelling, and architectural decisions, ensuring our technology platform remains extensible. 📍Lead an engineering pod using strong leadership and influence skills. 📍Manage of a team of junior and mid-level engineers, supporting their careers and growth.

What we are looking for:

📍7+ years’ experience in software engineering. 📍Strong technical ability across the full stack: Python, FastAPI, React and Typescript is a plus. 📍Experience with databases like Postgres and Snowflake. 📍Experience of working within cloud provider services – Azure or AWS (preferred) and utilization of infrastructure as code. 📍A data-driven mindset to make development decisions based on robust analyses. 📍Ability to collaborate effectively with designers, engineering and data scientist teams to build our technical solutions.

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