Data Engineer

📋 Description

• Design, develop and maintain scalable batch ETL and near-real-time data pipelines and architectures
• Ensure all data provided is of the highest quality, accuracy, and consistency
• Identify, design, and implement internal process improvements for optimising data delivery and
• Builds out new API integrations to support continuing increases in data volume and complexity
• Communicate with data scientist, MLOps engineers, product owners and BI analysts in order to

🎯 Requirements

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics, or a
• 3+ years of experience in data engineering, data platforms, BI or related domain
• Experience in successfully implementing data-centric applications, such as data warehouses
• Experience with large-scale production relational and NoSQL databases
• Experience with data modelling
• General understanding of data architectures and event-driven architectures

🎁 Benefits

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment