Who are we?

IOG, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain technology globally.

We invest in the unknown, applying our curiosity and desire for positive change to everything we do. By fueling creativity, innovation, and progress within our teams, our products and services are designed for people to be fearless, to be changemakers.

What the role involves:

As a Senior Data Engineer in the Technical Intelligence (TechInt) team, you will play a crucial role in shaping the company's strategic direction. The TechInt team's core function is to analyze the blockchain industry, providing leadership with data-driven insights into competitor activities, emerging trends and projects, and areas of technical innovation.

You will contribute to an automated process that leverages a data warehouse alongside machine learning (ML) and artificial intelligence (AI) on AWS to generate these insights.

The role works closely with senior leadership and involves direct exposure to strategic decision-making, with a focus on analyzing company strategy and new venture planning from a quantitative perspective.

• Own and drive the end-to-end data process for intelligence (business and technical), across all the ventures of the company. This involves acquiring, processing (ETL), modeling with AI/ML, and reporting.
• Serve as the competitive positioning expert in the blockchain landscape, responsible for providing data insights that fulfill stakeholder requirements.
• Architect and build performant and scalable data engineering pipelines using AWS. Drive the data system design, modeling, data quality, and delivery.
• Work with senior leadership and stakeholders to understand data value, define key metrics for competitive positioning, and gather requirements. Work closely with data engineers and analysts to deliver the agreed-upon requirements.
• Work with data scientists, ML, and AI engineers to operationalize models and integrate LLM-related logic into data pipelines.
• Use Scrum methodologies to drive prioritization, planning, and execution of tasks for the data intelligence team.