Data Engineer

The Data Engineer will support our team of data scientists and partner teams across a dynamic technical environment. As a scientific team we are looking for a candidate excited to work with lifelong learners and striving for personal improvement. The Data Engineer must be self-directed and comfortable being involved in projects across multiple teams, systems, and products.

• Create and maintain data pipeline architecture
• Design and assemble large complex data sets and associated documentation
• Maintaining a backlog of functional and non-functional requirements
• Keeping data separated and secure across different regulatory environments
• Partner with stakeholders to understand business objectives, work with cross-functional teams, and create scalable data solutions

Requirements

• Bachelor’s or advanced degree in computer science, engineering, mathematics, or a relevant degree
• 2+ years of industry experience in data engineering, data architecture, or related fields
• Proficiency in English
• Proficiency in Python
• Proficiency in Database and Data warehousing tools
• Proficiency in SQL
• Comfortable working US West Coast business hours
• Comfortable making GET / POST requests to APIs
• Comfortable cleaning and prepping data for Machine Learning models
• Experience querying data across high-complexity business environments
• Experience with visualization tools (e.g. Tableau, Power BI)
• Experience with data architecture, data modeling, and schema design
• Active learner comfortable with independent study time/navigating ambiguity
• Background in Extract / Transform / Load (ETL) process
• Experience working with Data Scientists or in Scientific Research environments is a plus
• Background in organizing data in Logistics and Supply Chain environments is a plus
• Experience using Spark, Presto, Hive, and/or Airflow is a plus
• Experience with data quality and validation is a plus
• Modeling data for efficient dashboard performance is a plus
• Comfortable presenting technical material to a business audience is a plus
• Familiarity with GDPR and Data Privacy laws is a plus
• Familiarity with real-time data processing framework is a plus
• Familiarity with cloud computing platforms (e.g., AWS, Azure, etc.) is a plus

Benefits

• Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
• We operate a discretionary bonus scheme that incentivizes, and rewards individuals based on company and individual performance
• Control Risks supports hybrid working arrangements, wherever possible, that emphasize the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.