Data Engineer (Lambda) (Remote - Anywhere)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer (Lambda) in Worldwide.

As a Data Engineer, you will be at the forefront of building and maintaining the infrastructure that powers large-scale, multi-chain crypto data systems. You will design and optimize ETL pipelines, develop high-performance data models, and ensure data reliability for real-time and historical analytics. This role offers the opportunity to work on complex blockchain datasets, integrating multiple sources and building automation tools that improve operational efficiency. You will collaborate closely with a globally distributed team of engineers and analysts, applying best practices in data engineering, automation, and scalability. The position provides autonomy, exposure to cutting-edge technologies, and the chance to influence critical data workflows that drive decision-making for investors and institutions. Your work will directly impact the quality and accessibility of crypto financial data.

Accountabilities:

• Design, maintain, and scale streaming ETL pipelines for blockchain and multi-chain data.
• Build and optimize ClickHouse data models, materialized views, and transformations for high-performance analytics.
• Develop and maintain data exporters and orchestration workflows, ensuring accuracy and timeliness.
• Implement testing, monitoring, automation, and migration processes to enhance pipeline reliability.
• Aggregate multiple data sources, including third-party indexers and Kafka topics, into structured tables for API consumption.
• Collaborate with analysts and engineering teams to deliver reliable and scalable data services.

Requirements

• 4+ years of experience in Data Engineering, focusing on ETL/ELT, streaming systems, and data pipelines.
• Strong SQL skills with columnar databases such as ClickHouse, Druid, or BigQuery.
• Hands-on experience with streaming frameworks such as Flink or Kafka.
• Proficiency in Python for data engineering, automation, and backend services.
• Experience delivering production-grade pipelines and data features on schedule.
• Strong focus on automation, reliability, maintainability, and documentation.
• Startup mindset with the ability to balance speed, quality, and innovation.
• Familiarity with multi-chain crypto ecosystems and blockchain data structures is a plus.
• Knowledge of CI/CD for data pipelines, testing frameworks, and performance tuning of ClickHouse is desirable.

Benefits

• Fully remote, worldwide position with flexible working hours.
• Competitive salary, with the option for crypto-based compensation.
• Full-time, indefinite-term consultancy agreement.
• Well-being and mental health programs.
• Support for professional growth, education, and language courses.
• Equipment and co-working reimbursement program.
• Opportunities to attend overseas conferences and community immersion events.
• Positive, collaborative, and globally distributed team culture.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!