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Junior Data Operations Engineer

Clarity AI

Clarity AI

Madrid, Spain
Posted on Thursday, May 9, 2024

Clarity AI is a global tech company founded in 2017 committed to bringing social impact to markets. We leverage AI and machine learning technologies to provide investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions.

We are now a team of more than 300 highly passionate individuals from all over the world. Together, we have established Clarity AI as a leading sustainability tech company 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, the UK, and the US this year, so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of consumers and investors worldwide.

We are looking for a Junior Data Operations Engineer that will join our Data Strategy team, and help us to optimize, configure rules, and build processes for ESG data collection. This role provides an opportunity to develop your technical skills, work for a competitive SaaS company in the exciting ESG space, and support a wide array of stakeholders specialized in building products and curating ESG methodologies.


The role is based in Madrid, or Barcelona ideally.

Way of Working: Hybrid

Key Responsibilities

Working as a Junior Data Operations Engineer you will be responsible of the following:

  • Managing the technical and business rules by using python and system APIs to ensure ESG-based reports are gathered and identified
  • Maintaining keyword models that help streamline collection and optimize efficiencies
  • Creating datasets in Snowflake for use and visualizations
  • Helping organize daily collection operations based on data in the queue
  • Using API to upload ad-hoc reports for data collection
  • Supporting the enablement of new rules and configurations for different data types collected using our in house collection tools
  • Using orchestration tools and other tools at your disposal for helping automate processes or surface data necessary for data collection
  • Own technical documentation and best practices to ensure the processes are robust
  • Help the ESG Data Collection team to translate business requirements into technical specifications and implementation