Data Operations Engineer Specialist

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 Data Operations Engineer Specialist to integrate 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 that 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.

Location 

The role is based in Madrid or Barcelona.

Way of Working: Hybrid 

Key Responsibilities

Working as a Data Operations Engineer Specialist your main responsibilities will include: 

• Consult data and use your coding skills (Python and SQL) to manage data from different data sources (S3, postgreSQL, etc.) in order to define the information to retrieve in our collection efforts.
• Create automated and refreshable dashboards and reports for different stakeholders using your SQL and Python coding skills and using tools and services such as DBT and Quicksight.
• Developing process operations and process automations using orchestration tools, APIs and overall best practices in streamlining business processes.
• Delivering data through existing pipelines, or supporting the creation of new pipelines while including necessary soda validation checks.
• Capable of serving data to non-technical and technical teams as a form of a dataset or a compelling dashboard/visualization.
• Developing solution architecture diagrams and supporting the build using best practices.
• Offering technical support to business stakeholders around their day to day operational work.
• Modify and create new ETLs helped by the data-engineering team (we use Airflow to manage ETLs).
• Support the configuration/integration of third party tools and work on web scraping activities and tasks.
• Writing maintainable code with tests, applying version control, debugging correctly, and uploading it to Gitlab.
• Interfacing with the Data Science team on serving data for modeling and predictions and helping deliver high quality data based on business rules to specific data stores.

Requirements

We like Data Analysts and Engineers who adapt quickly to new tasks, interrogating our database to define which are the gaps we need to fill with our research efforts. You like serving changing needs using your coding skills and data analysis abilities to streamline the research activities of a team of more than 25 researchers.

You enjoy removing technical obstacles, finding solutions to technical and operative problems. You understand the limitations of a productive environment and the need to quickly react.

As the ideal candidate for the position:

• 3+ years industry experience in the data analytics and data engineering field
• You hold a degree in a quantitative field (CS, Engineer, Math, Physics, … ) and have great coding skills.  Masters degree preferred.
• You possess very strong SQL, Python database skills, and can make invocations to APIs
• You are very familiar with using tools such as SnowFlake, Airflow, AWS Services (ie. S3, Quicksight), and DBT
• Experience in advanced analytics, data engineering and a similar related field of data management
• Experience in collaborating with engineering teams and stakeholders to build key datasets and executing data pipelines using Python/ETL frameworks.
• Can work well with the Business and Technology stakeholders to deliver business initiatives on time by understanding the business need.
• Excellent oral and written English communication skills. (Minimum C1 level-proficient user). Able to write technical documentation clearly and concisely. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity AI team will be based remotely.
• You are open to try new technologies and programming languages.

It will be a plus if you had:

• Experience in the financial sector.
• Knowledge of sustainability aspects.

Benefits

• ESOP / Phantom Stock: We want our employees to really feel part of Clarity AI. That’s why we allow them to participate in our success with ESOP or Phantom stock options. 
• Empowered Learning: We value continuous learning development and allocate an annual training budget to support your professional growth. 
• Premium Health Insurance: We provide access to one of the top health insurance plans in the market, powered by Cigna. 
• Wellness and Fitness (Gympass): Access to your preferred and your favorite gyms and studios – as well as online live fitness classes, health & wellness apps, and virtual personal training sessions. 
• Flexible Work Arrangements: We promote work-life balance through flexible schedules and remote work options. For our hybrid work set-ups, we have offices in Madrid (complete with healthy food options and monthly office events), New York City, London, Paris, Riyadh, and Abu Dhabi, and access to a global network of co-working spaces. 

Our Culture

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

To learn more about working with us, please check out our LinkedIn page and visit our website. 

More about Clarity AI

Clarity AI’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur recognized as one of the most distinguished leaders under 40 by prestigious institutions like the World Economic Forum. Rebeca is joined by excellent leadership from diverse backgrounds, countries and experiences. As well as teams 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: 

• Investment Week – Best Sustainable Investment Research & Ratings Provider 2023
• Fast Company – Most Innovative Companies 2023 
• The Forrester New Wave Leader: ESG Ratings, Data, and Analytics 2022 
• 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.