Data Engineer (Lambda) (Remote - Anywhere)

Jobgether; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A global tech company is seeking a Data Engineer (Lambda) to build and maintain data systems for multi-chain crypto data. This remote role requires 4+ years of experience in Data Engineering, with strong SQL and Python skills. You'll design ETL pipelines, optimize ClickHouse models, and collaborate with a distributed team. Benefits include competitive pay, flexible hours, and support for professional growth.

Benefits

Flexible working hours

Competitive salary

Well-being programs

Professional growth support

Qualifications

• 4+ years of experience in Data Engineering.
• Strong SQL skills, particularly with columnar databases.
• Hands-on experience with streaming frameworks.

Responsibilities

• Design and maintain streaming ETL pipelines.
• Build and optimize ClickHouse data models.
• Collaborate with teams to deliver reliable data services.

Skills

Data Engineering

ETL/ELT

SQL

Python

Streaming frameworks

Automation

Blockchain data structures

Tools

ClickHouse

Flink

Kafka

Job description

Job Description

Data Engineer (Lambda) – 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.

Thank you for your interest!