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.

Would be great if you brought this to the role

📍Over 6 years of experience as a Data Engineer 📍Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released. 📍Strong SQL skills and experience with cloud warehouses (e.g.: Snowflake, BigQuery, Redshift). 📍Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster). 📍Comfort with Python or other scripting languages for ETL and automation. 📍Familiarity with data governance and metadata management (e.g.: DataHub). 📍Experience deploying and managing infrastructure as code (e.g.: Terraform, Pulumi).

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.