Senior Data Engineer

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.

But technology alone doesn’t drive progress. People do.

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. We rethink how wealth works and build solutions that reflect that belief.

That requires a certain kind of person.

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.

This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo.

Official website: nexo.com

Your role:

• Discover, analyze and assemble large, complex data sets that meet functional / 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 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 meanignful AI-driven optimizations in your day-to-day tasks.
• Partner with cross-area teams to support self-service data initiatives.

• 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’ 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.