At Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.
We are now a team of more than 180 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as SoftBank, BlackRock, and Deutsche Börse who believe in us and share our goals. We have plans to continue growing our teams in Spain, Portugal, the UK, and the US this year so if you would like to join us on this rocket ship, keep reading!
Clarity is looking for a Senior Data Engineer for the Tech team. If you’re a Software/Data Engineer, specialized in Data and enjoy solving complex problems with code, developing and you are not afraid of learning new things, we are looking for you.
You will be part of the team delivering the different parts of our production-ready product while co-designing and implementing an architecture that can scale up with the product and the company.
Our tech stack is documented here: https://stackshare.io/clarity-ai/clarity-ai-data
Location: This position can be based within Spain.
KEY RESPONSIBILITIES:
- You will help to build a data platform to enable other teams to self-service high-quality data while performing data operations to support their day-to-day actions.
- You will join the data engineering team which is responsible for developing models, practises and systems to support the data lifecycle.
- You’ll support designing and creating all aspects of our ever-growing set of external and internal data pipelines, understand the problems, and tie them back to data engineering solutions
- You will be responsible of designing and building our ETL's
- You’ll transform raw data from different sources (batch and near-real-time) into intuitive data models, using a diverse set of tools (such as Spark, Hadoop, Redshift, Kafka, etc.) to build robust data pipelines of high quality in a scalable fashion (regarding volume and maintainability).
- In order to develop feature and product features, you will form part of cross functional squads including people of many different teams.
- Work closely with Platform, Data Science and Backend teams, as well as product and tech teams.
- Fix, troubleshoot and solve bugs and issues