Data Analytics Engineer - Remote

June 3

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ANYbotics

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robotics • autonomous robots • robotic inspection • industrial inspection

51 - 200

💰 Series B on 2023-05

Description

• Anybotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries • Join a highly talented and motivated team of more than 130 people and work on cutting-edge robot technology • Work remotely as a Data & Analytics Engineer to shape the Future of Robotics • Design, develop, and maintain the BI Data Platform to centralize business data and turn it into trusted analytics-ready data • Work with the Director Business Intelligence to deploy data and BI infrastructure for better business decisions • Transform the industrial sector by introducing robotics to a wide range of novel applications • Develop customized hardware systems to achieve world-class mobility, autonomy, and inspection capabilities • Enable autonomous routine inspections and monitoring of large-scale industrial facilities for increased safety and productivity

Requirements

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a similar field of study • Proven experience (3+ years) in a data engineering / analytics engineering role, including a track record in building a BI Data Platform • Expertise in SQL and experience with dbt • Hands-on experience implementing ETL/ELT processes • Strong programming skills in Python • Experience with cloud-based data warehouses (ex. Snowflake, Redshift) and ETL/ELT tools (ex. Fivetran, Tray) • Experience with working with APIs to extract data from a variety of data sources • Can-do attitude and a very open and engaging personality with the ability to collaborate effectively with cross-functional stakeholders • Independent self-starter with well-structured ways of working • Experience with modern data stack tools is a big plus • Ability to work with cloud platforms (ex. AWS) is a plus • Knowledge and experience with the application of software engineering best practices to analytics code (ex. version control, CI/CD) is a plus • Bonus: Experience in a fast-growing high-tech industrial company environment

Benefits

• Build up and maintain a company-wide BI Data Platform • Work closely with business and tool owners to understand data generating processes and convert raw business data into trusted and validated analytics-ready data sets • Design and implement data models, build data pipelines, and leverage SQL queries for clean, tested, documented, and well-defined data data marts • Act as the technical expert to decide and build the best data extraction, storage, transformation, and scheduling methods for different business use cases and data sources • Enforce data governance policies to maintain data integrity, security, and quality