Staff Data 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 are looking for a Staff Data Engineer who will lead the design, development, and implementation of data architectures that support our data-driven products and services. This role involves creating high-level architectural blueprints, ensuring efficient data flows, and optimizing data systems for scalability and reliability. The ideal candidate combines technical expertise in data engineering with a strategic mindset, capable of assessing when and why to apply various technologies for scalability and performance, helping shape our data infrastructure to meet the demands of a fast-paced, innovative environment.

What You’ll Be Doing 🚀

• Designing and overseeing data architecture solutions that integrate seamlessly with our current systems and supporting scalability, security, and high performance
• Developing and implementing architectural patterns for efficient data validation, consumption, and storage
• Evaluating various tools and frameworks, understanding when they add value and when simpler approaches are more appropriate
• Transforming raw data into intuitive, high-quality data models that support analytical and reporting needs across the organization. Applying scalable design patterns but avoiding over-engineering, ensuring solutions remain efficient and fit-for-purpose
•  Implementing and monitoring data quality checks to ensure the accuracy, completeness, and reliability of data across all systems
• Working closely with engineering and product teams to understand business requirements, translating them into scalable data solutions
• Acting as a bridge between technical and non-technical stakeholders, ensuring alignment with strategic goals and effective communication of technical designs
• Leading initiatives to improve data practices, from schema design to data governance, ensuring data quality, consistency, and security
• Guiding the team in experimenting with new tools and technologies thoughtfully, focusing on understanding both the benefits and limitations of each option
• Continuously evolving the data architecture for optimal performance, balancing scalability with cost-efficiency and reliability
• Applying a pragmatic approach to performance metrics and scaling decisions, ensuring that the system remains performant without unnecessary complexity
• Implementing performance metrics to monitor system health, proposing improvements where necessary
• Maintaining comprehensive documentation of data systems, processes, and best practices to facilitate knowledge sharing and compliance

What You’ll Need 👀

• 10+ years in data architecture, data engineering, or a related role, with hands-on experience in data modeling, schema design, and cloud-based data systems
• Strong SQL skills and proficiency with distributed data stores
• Proven ability to evaluate and justify the use of various big data technologies, with a strong preference for simplicity whenever possible
• Strong background in architectural design for large-scale applications, with a focus on microservices, distributed systems, and data pipelines in cloud environments
• Proficiency in schema design, data modeling, and building data products
• Proficient in at least one major programming language, preferably Python, with a software engineering mindset for writing clean, maintainable code
• Deep understanding of architectural principles in microservices, distributed systems, and data pipeline design
• Familiarity with containerized environments, public/private API integrations, and security best practices
• Self-starter, able to take ownership and initiative, with high energy and stamina
• Decisive and action-oriented, able to make rapid decisions even when they are short of information
• Highly motivated, independent and deeply passionate about sustainability and impact
• Excellent oral and written English communication skills (minimum C1 level-proficient user)

Nice To Have ✨

• Experience with Domain-Driven Design (DDD) and Bounded Contexts to help shape and organize our data products around clear, meaningful domains.
• Familiarity with Team Topologies to drive team structures that optimize flow and collaboration, ensuring alignment between teams and business goals.
• Strong understanding of Lean and Agile methodologies, with a passion for continuous improvement, applying Lean principles, and delivering high-value outcomes in an iterative manner

What We Offer 🥁

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
• Flexibility in ways of working both in terms of your schedule as well as your 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, including vacation, sabbatical, religious observance and compensation days
• Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses
• Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms
• Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups

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.