ZOE is hiring a
Senior Analytics Engineer, Remote - United Kingdom

Summary

The job is for a Senior Analytics Engineer at ZOE, a remote-first startup that combines scientific research and AI to improve health. The role involves designing, building, and maintaining the data warehouse, automating data collection, ensuring data accuracy and security, and conducting exploratory data analysis.

Requirements

• Passionate about Science, and interested in Nutrition and Physiology
• Collaborative mindset and passion for contributing to groundbreaking scientific discoveries
• Experience with dbt and Apache Airflow
• Experience in data engineering roles, with a proven track record of working on data integration, ETL processes, and data warehousing
• Proficient in Python and SQL and have experience with Data Warehouses (ex: BigQuery, SnowFlake) and interactive computing environments like Jupyter Notebooks
• Knowledge of data governance principles and best practices for ensuring data quality, security, and compliance with regulatory standards
• Detail-oriented and data-savvy to ensure the accuracy and reliability of the data
• Strives to keep code clean, tests complete and maintained, and releases frequent
• Experience with cloud platforms like Google Cloud Platform (GCP) and platforms to schedule and monitor data workflows like Apache Airflow
• Solid understanding of best practices around CI/CD, containers and what a great release process looks like
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders

Responsibilities

• Defining the data requirements from the research trials that the core Science team will run alongside data coming from the main product experience
• Automating data collection from a variety of sources (e.g. labs, questionnaires, study coordination tools)
• Orchestrating integration of data derived from these trials into our data warehouse
• Ensuring consistency and accuracy of all study data used for research and product development
• Design, build and maintain the data models used by Scientists, Data Analysts and Data Scientists to access the data
• Conducting exploratory data analysis to understand data patterns and trends
• Ensuring data security and compliance with regulatory standards
• Ensuring data accessibility to internal and external stakeholders with up-to-date documentation on data sources and schemes

Benefits

• Remote-first: Work flexibly – from home, our London office, or anywhere within the EU
• Stock options: So you can share in our growth
• Paid time off: 28 days paid leave (25 holiday days, plus 2 company-wide reset days, and 1 “life event” day)
• Enhanced Parental Leave: On top of the statutory offering
• Flexible private healthcare and life assurance options
• Pension contribution: Pay monthly or top up – your choice
• Health and wellbeing: Like our Employee Assistance Program and Cycle to Work Scheme
• Social, WFH, and Growth (L&D) budgets.. Plus, multiple opportunities to connect, grow, and socialise