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Lead Data Engineer - Remote

Posted Yesterday
Software Development
Full Time
UK

Overview

The Lead Data Engineer will build, maintain, and support the data warehouse, delivering data in an easy, performant, and readable format. This role is crucial in empowering the data behind AI strategies and business decisions at RedCloud.

In Short

  • Architect and own the data warehouse architecture and flow.
  • Design, build, and maintain ELT solutions.
  • Deliver data insights to colleagues and customers.
  • Investigate and resolve bugs in systems.
  • Respond to production outages and issues.
  • Estimate features and bugs in sessions.
  • Refine feature requirements from product managers.
  • Conduct code and pull-request reviews.
  • Mentor team members and new starters.
  • Communicate effectively across the business.

Requirements

  • Strong technical skills in SQL and database design.
  • Experience with Snowflake, PostgreSQL, MySQL, and Python.
  • Ability to deliver actionable data insights.
  • Experience in resolving production issues.
  • Strong collaboration and mentoring skills.
  • Effective communication abilities.

Benefits

  • 25 days annual leave, increasing to 26 after 12 months.
  • Enhanced company pension matched up to 5%.
  • Healthcare cash plan with Medicash.
  • Private healthcare with Aviva.
  • Life insurance with AIG.
  • Access to discounts through the Happl benefit platform.
  • Stock/equity options.
RedCloud logo

RedCloud

RedCloud is a pioneering company dedicated to transforming the global supply chain, addressing a significant $2 trillion inventory gap that affects the distribution of essential consumer goods. By leveraging its innovative RedAI digital trading platform, RedCloud connects various components of the supply chain, facilitating bulk inventory exchanges, streamlined digital payments, and the generation of valuable market data. Headquartered in London and publicly listed on Nasdaq (RCT) since March 2025, RedCloud operates across Africa, the Middle East, Europe, and Latin America, with a diverse team focused on building a more connected and efficient global trade network. The company is committed to advancing AI and machine learning technologies to provide predictive market insights and enhance business decision-making for its customers.

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