Data Engineer

Data Engineer

Clarity AI is a worldwide technology company established in 2017, dedicated to incorporating social impact into markets. We utilise AI and machine learning technologies to offer investors, governments, companies, and consumers the precise data, methodologies, and tools needed to make better-informed decisions.

We currently comprise a team of over 300 passionate individuals worldwide. Collectively, we have positioned Clarity AI as a top-tier sustainability tech company, backed by investors and strategic partners such as SoftBank, BlackRock, and Deutsche Börse, who support and share our objectives. We aim to continue expanding our teams in Spain, the UK, and the US in the coming year, so if you're interested in joining our journey, keep reading! Your contribution will shape and steer the sustainable choices of consumers and investors globally.

Role Description
We are seeking a Data Engineer for our Tech team. If you are a Software/Data Engineer who specialises in Data, thrives on resolving complex issues with code, and are eager to learn new skills, we are looking for you.

You'll join the team responsible for delivering various aspects of our production-ready product while jointly designing and implementing an architecture capable of scaling alongside the product and the company.

Our tech stack is available here:

Location

The role is based in Madrid

Working Style: Remote / Hybrid

Key Responsibilities

• You will assist in building a data platform that enables other teams to autonomously access high-quality data while executing data operations to support their daily tasks.
• You will join the data engineering team tasked with developing models, practices, and systems to support the data lifecycle.
• You'll assist in the design and creation of all components of our growing collection of internal and external data pipelines, understand the issues, and link them to data engineering solutions
• You will take responsibility for designing and constructing our 's
• You’ll convert raw data from various sources (batch and near-real-time) into intuitive data models, using an array of tools (such as Spark, Hadoop, Redshift, Kafka, etc.) to establish robust, high-quality and scalable data pipelines (regarding volume and maintainability).
• To develop features and product functions, you will be part of cross-functional squads including members from many different teams.
• Work closely with Platform, Data Science, and Backend teams, as well as product and tech teams.
• Fix, troubleshoot and resolve bugs and issues

Requirements

We appreciate engineers who quickly adapt to new challenges and break them down into smaller components that a highly productive team can deliver high-quality solutions for. As an Engineer, you should have a solid technical foundation and a strong focus on enhancing your development skills.

You should use best practices to deliver high-quality code and continuously expand your knowledge.

• You have a minimum of 3 years of professional experience as a Software Developer/Data Engineer, and possess a degree in a quantitative field (CS, Engineering, Math, Physics, etc.).
• You've built production data pipelines in the cloud, established data-lake and server-less solutions; in addition, you have hands-on experience with schema design and data modelling.
• Proven knowledge of Python(Pandas) is essential, Java/Scala would be an advantage
• You have robust SQL skills and are familiar with other distributed data stores such as Redis, ElasticSearch, Druid, Cassandra, Hbase.
• You are confident working in a containerised cloud environment, and are familiar with integrating public and private APIs.
• Strong communication skills. The ideal candidate can excel in an environment of asynchronous discourse, given that a segment of the Clarity team is based remotely.
• Willingness to try new technologies and programming languages.
• English fluency

The following would be advantageous, though not required:

• Experience in a fast-growing SaaS business would be preferable.
• Experience in the financial sector or regulated markets would be ideal.
• Familiarity with additional technologies / frameworks (e.g., Spring Boot, Jersey, Play) is a bonus

Benefits

• ESOP / Phantom Stock: We want our employees to feel truly a part of Clarity AI. That's why we offer them the opportunity to participate in our success through 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 favourite gyms and studios - as well as online live fitness classes, health & wellness apps, and virtual personal training sessions.
• Flexible Working Arrangements: We promote a work-life balance through flexible schedules and remote work options. For our hybrid working arrangements, we have offices in Madrid (offering 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're committed to fostering an exceptional workplace environment. We're proud of our culture, underpinned by our commitment to being fact-based, diverse, transparent, meritocratic, and flexible.

To learn more about working with us, please view our page and visit our .

More about Clarity AI

Clarity AI’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur recognised as one of the most distinguished leaders under 40 by institutions like the World Economic Forum. Rebeca is complemented by an exemplary leadership team, hailing from an array of backgrounds, countries and experiences. As well as teams of professionals originating from top-tier tech, consulting and banking firms, entrepreneurs, PhDs from top research institutions, and MBA graduates.