Data Engineer

Job Description

The Role:

You will be responsible for :

• Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines for real-time and batch crypto market data; integrate data from APIs, trading venues, blockchain nodes, and third-party platforms.
• Infrastructure & Architecture: Design and manage databases, warehouses, and data lakes; leverage cloud-native and distributed processing tools (e.g., AWS, Spark, Flink) to support large-scale workloads.
• Operations & Tooling: Monitor, troubleshoot, and optimize pipelines to ensure reliability, performance, and cost efficiency; implement data governance, security, and access control best practices.
• Research & Trading Support: Curate, label, and validate datasets for model training, backtesting, and strategy evaluation; prepare high-quality datasets and reports to support quantitative research and trading teams.
• Collaboration & Continuous Improvement: Work with researchers and traders to translate requirements into technical solutions; stay current with new technologies, industry developments, and AI/data science applications in trading.

Ideal Profile:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related technical field.
• Experience in data engineering, data science, or related fields (crypto/finance/Web3 experience a strong plus).
• Strong programming skills in Python and SQL (R, Rust, or Java is a plus).
• Proven experience building and maintaining ETL/ELT pipelines, with exposure to real-time data streaming.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cloud-native services.
• Familiarity with on-chain analytics tools, crypto data APIs, and financial datasets.
• Strong understanding of data governance, quality control, and reproducibility in research workflows.
• Excellent attention to detail, problem-solving, and ability to work independently in a fast-paced environment.
• Bonus: familiarity with quantitative research, backtesting, and trading workflows, knowledge of machine learning data pipelines and evaluation processes.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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