Senior Data Engineer
About the role
About Consensys
Consensys is the leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.
Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.
Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on.
About the Data Team
The Data team sits within the Office of the COO and builds the infrastructure that powers analysis across the organisation. We design, run, and optimise pipelines that bring together product, marketing, and financial data at scale. Our role is to ensure data is reliable, accessible, and ready for use—helping Consensys move fast while maintaining quality and trust.
What you'll do
- Design, build, and maintain robust data pipelines that integrate sources across the business.
- Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery.
- Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team.
- Develop and optimize data models to deliver trusted, structured, and business-ready data.
- Ensure data quality, security, and governance are embedded in all pipelines and systems.
- Orchestrate and monitor pipeline execution to ensure reliability and scalability.
- Deploy and manage infrastructure as code.
- Build and tune big data pipelines using SQL, Python, and distributed processing frameworks.
- Work with cloud data warehouses to enable insights and analytics.
- Maintain and update reporting solutions and user dashboards.
- Automate workflows and improve CI/CD pipelines to reduce manual processes.