Job Description ** Remote or hybrid onsite friendly role: You will be of the key people who shape our client's data platforms for the future. You will be the data expert who owns a large portion of their ecosystem, including but not limited to data collection, modeling, transformation and quality check. You will also be a data steward to govern the quality of their data warehouse and instill a data-driven mindset in those around you. Together with their team they aim to take their data pipelines to the next level. Your work will be dynamic and ever-evolving, with a mixture of short and long-term projects. You will facilitate the ability to create and streamline data processes to extract, transform and load data streams from various sources into their data warehouse. Plan to:

• Design, build and maintain research platforms that enable large scale data analysis and fast innovation.
• Design and implement standardized data schemas and APIs for a variety of downstream use cases.
• Build data quality solutions and automated checks to ensure data integrity.
• Work with other developers to scope and build data warehouse solutions to help the business scale.
• Collaborate with traders, analysts and researchers to gather scope requirements.
• Manage and execute projects from start to finish including project management, data gathering, transformation and modelling, analysis, and delivery of tooling or business recommendations. Requirements The feedback loop for this team is immediate, therefore they look for dynamic and highly ambitious people who seek to innovate constantly, challenge the status quo and want to work alongside some of the most talented and intelligent people in the smart device sector. In terms of skills and qualifications, they're looking for:
• 3 to 5 years experience in data engineering and/or quantitative development.
• Deep understanding of computer science fundamentals and engineering instincts.
• Strong knowledge of Python, SQL and open-source frameworks for data retrieval, pipelining and transformation.
• Preferably, a degree in computer science or other technology related fields.
• Experience with manipulation of large and complex data sets.
• Problem solving mindset.
• Proactive, can-do attitude.
• Eagerness to learn.
• Strong communicator: you need to able to translate your ideas to different areas of the business.