Junior Data Operations Engineer

About Clarity AI 🪴

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets.

We leverage AI and machine learning technologies to provide top international 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 and curious individuals from all over the world, with offices in New York, Madrid, London, Paris, and Abu Dhabi. Together, we have established Clarity AI as a leading sustainability tech AI company backed by investors and strategic partners such as BlackRock, SoftBank, and Deutsche Börse, who believe in us and share our goals. 

We are dedicated to cultivating an exceptional workplace environment, and we take pride in our culture, defined by our commitment to being fact-based, diverse, transparent, meritocratic, and flexible. 

We have plans to continue growing our teams globally, so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of investors, companies and consumers worldwide.

About The Role 💻 

We’re looking for an Junior Data Operations Engineer to join our Data Strategy team. If you’re a Data Engineer and you enjoy leveraging code to quickly adapt to changing needs in an operative environment, or if you are a Data Analyst who can code in python to solve operative issues, we are looking for you.

You will be part of the Data Strategy team in charge of growing our Sustainability database, allowing us to enhance the productivity of the research team and reduce the operation burden of the development team.

You will interact with the development team as well as with the research team.

What You’ll Be Doing 🚀

Working as an Junior Data Operations Engineer you will be responsible for: 

• Consulting data and using your coding skills (Python and SQL) for managing data from different sources (S3, PostgreSQL, etc.) to define the information needed for data collection efforts.
• Creating dynamic data assets for various use cases using DBT and Airflow to enable analytic consumption.
• Developing process operations and automations by leveraging orchestration tools like Airflow, APIs, and applying best practices to streamline business processes.
• Delivering data through existing pipelines or supporting the creation of new ELT pipelines, including the implementation of soda validation checks.
• Serving and explaining data effectively to both technical and non-technical teams.
• Developing solution architecture diagrams and supporting the implementation using industry best practices.
• Offering technical support to business stakeholders for their operational needs.
• Supporting the configuration and integration of third-party tools and executing web scraping tasks.
• Writing maintainable code with tests, applying version control, debugging effectively, and uploading it to GitLab.

Location 🌍 

The role is based in Barcelona/Madrid

Way of Working: Remote / Hybrid

Requirements

What You’ll Need 👀

• 2+ years industry experience in the data analytics and/or data engineering field
• At least 1 year of professional experience creating Airflow DAGs or modeling using DBT (Data Build Tool)
• You possess strong SQL and Python skills
• You are familiar with using web scraping tools like beautiful soup or selenium
• You hold a degree in a quantitative field (CS, Engineer, Math, Physics, … ). Masters degree preferred.
• Can work well with both Business and Technology stakeholders to deliver initiatives on time.
• Excellent oral and written English communication skills. (Minimum C1 level-proficient user). 

Nice To Have ✨

• Experience working with APIs
• Comfortable playing a technical support role (i.e. setting up local environments)
• Familiar with practices around data quality and data validations
• Experience in the financial sector
• Knowledge of ESG data and sustainability aspects

What we offer 🥁

• Competitive compensation
• Equity Plans, ESOP/Phantom Stock, to share our success
• Flexibility in terms of schedules and location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces 
• Generous paid time off schemes that include vacation, sabbatical, religious observance and compensation days
• Private Healthcare coverage that can be extended to your family members
• Fitness and Wellness benefits covered through Wellhub
• Working from home allowances to help you set up your home office and cover monthly expenses
• Annual training budget to support your professional growth
• Regular team activities and events

More About Clarity AI ⭐

Clarity AI’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognised by prestigious institutions like the World Economic Forum as one of the most distinguished leaders under 40.

The leadership team has an international presence and is composed of professionals from leading tech, consulting, and banking firms, entrepreneurs, PhDs from top research institutions, and MBA graduates from top business schools.

Clarity AI has received several awards: 

• The Forrester New Wave - ESG Ratings, Data, and Analytics - Leaders for 2022-2024 
• Investment Week - Best Sustainable Investment Research & Ratings Provider 2023
• Fast Company - Most Innovative Companies 2023
• European Commission | EU Seal of Excellence 2020
• World Economic Forum - Technology Pioneer 2020
• World Economic Forum, Young Global Leader - Rebeca Minguela

Clarity AI believes diversity, inclusion, and belonging are essential for creating an innovative and successful workplace. By actively promoting and engaging in sustainability efforts, we can help create a more equitable and resilient future for our planet and all its inhabitants.