Senior Data Engineer

This is a fully remote position, open to applicants in Serbia.

📋 Description

• Construct and enhance data systems that drive product insights and inform decision-making.

• Collaborate with analysts, product managers, and engineers to create scalable data pipelines.

• Enhance data infrastructure to ensure reliable data is accessible across various teams.

• Collect data from databases, APIs, event tracking tools like PostHog, and spreadsheets.

• Verify that the gathered data is accurate, complete, and pertinent to business inquiries.

• Design, maintain, and optimize ETL/ELT processes for a variety of data sources.

• Oversee and enhance data infrastructure utilizing GCP and contemporary cloud services.

• Automate data workflows, monitoring processes, and quality assurance checks.

• Ensure consistency, accuracy, and reliability of data across different systems.

• Work in conjunction with analytics and engineering teams throughout the data ingestion and analysis phases.

• Safeguard that data is secure, well-documented, and easily accessible.

• Contribute to shaping the technical strategies and operational practices of the expanding Data team.

• Integrate both on-chain and off-chain data into a unified user model.

• Enhance pipeline performance and manage query costs as on-chain data volumes increase.

⛳️ Requirements

• Over 7 years of professional experience in a Data Engineer role or a similar position involving large-scale data systems.

• Strong proficiency in Python, particularly for developing data processing pipelines.

• Practical experience with ETL/ELT tools, ideally dbt, and data orchestration techniques.

• Familiarity with modern data warehouse technologies such as BigQuery, Snowflake, Redshift, or comparable solutions.

• Excellent SQL skills.

• Experience with both relational and NoSQL databases.

• Hands-on experience with cloud services, preferably GCP, for data storage, computation, and orchestration.

• Knowledge of Git and data CI/CD workflows for version-controlled and testable data deployments.

• Experience incorporating AI tools like Claude Code into an engineering workflow.

• Proficient in using Excel or Google Sheets for quick analyses and pivot tables.

• Preferred: experience in fintech, banking, insurance, or the Web3 sector.

• Preferred: experience in processing on-chain data from sources such as Dune or Solscan.

• Ability to collaborate effectively with analytics and engineering teams.

• Strong problem-solving skills, initiative, adaptability, teamwork, and a sense of ownership.

🏝️ Benefits

• Option to work remotely or from the office, based on your preference.

• A flexible working environment.

• Flexible working hours.

• Individual education budget.

• Exciting team-building events.

• Private health insurance.

• Education and support in cryptocurrency.

• Opportunity to collaborate with a talented and motivated team across design, engineering, and product.

• Chance to make a significant impact on crypto wallet and decentralized finance products.