Senior Data Engineer

About Us

Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors.

We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics.

We shape industry trends and rethink how wealth works by building solutions that reflect that belief. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving.

The Role

• Discover, analyze and assemble large, complex data sets that meet functional and non-functional business requirements.
• Build ETL pipelines for a wide variety of data sources using mostly SQL and Python in an AWS environment.
• Work with stakeholders including the Executive, Product and Engineering teams to assist with data-related technical issues and support their data needs.
• Develop data tools for business departments that assist them in building and optimizing our product into an innovative industry leader.
• Maintain and optimize existing data models and architecture.
• Discover and employ meaningful AI-driven optimizations in your day-to-day tasks.
• Partner with cross-area teams to support self-service data initiatives.

Requirements

• Strong experience with relational SQL and NoSQL databases, including Postgres/Redshift, MySql/MariaDB/Aurora and MongoDB.
• Experience with Python.
• Experience with AWS cloud services: S3, Athena, Redshift, Glue.
• Experience building, optimizing and supporting big data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Ability to predict and validate performance with 10x, 100x, 1000x larger volumes and manage bottlenecks in advance.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Benefits

• Competitive and rewarding remuneration package.
• Annual performance-based bonuses.
• Comprehensive Learning Hub for continuous growth.
• Hybrid work model: primarily office-based with scheduled home office flexibility.
• A dynamic and inspiring environment with cutting-edge projects.
• Career development opportunities in a global leader driving the next generation of wealth.
• Customizable personal benefits package.
• Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses.
• Free parking with a designated space, free electric bikes, and public transportation cards.
• Fresh fruits, snacks, and a well-stocked office kitchen.
• Regular department team buildings and company-wide team buildings.