Data Engineer
Job Description
Monq Ltd is revolutionizing the $4.2 trillion strategic procurement market with next-generation AI-powered negotiation agents. As a Data Engineer, you'll be instrumental in building the data infrastructure that powers autonomous negotiation systems for Fortune 500 enterprises. The role combines advanced technical challenges in data pipeline development, enterprise integration, and AI infrastructure support.
You'll work on designing and maintaining scalable data systems that process complex contract data, vendor information, and negotiation histories. The position requires expertise in Python, enterprise data engineering, and modern data pipeline frameworks. You'll collaborate with AI engineers, product teams, and domain experts to transform procurement data into actionable insights.
The company offers a competitive package including £120,000-£130,000 salary (UK-based), significant equity, and flexible remote work arrangements. Benefits include 30 days annual leave, quarterly team gatherings, and visa sponsorship for exceptional candidates. Monq's backed by Revolut and HSBC executives, positioning it to become a category leader in AI-powered procurement.
This is an opportunity to shape the future of enterprise negotiations while working with cutting-edge AI technology. The role suits experienced data engineers who are passionate about solving complex technical challenges and want to make a significant impact in enterprise software. Join a team that's combining deep technical expertise with practical business applications in a massive, untapped market.
Responsibilities For Data Engineer
- Design and operate performant, scalable ingestion pipelines
- Create sophisticated data parsing systems for complex legal/procurement documents
- Build real-time data feeds supporting autonomous negotiation agents
- Define and manage data schemas for contract intelligence
- Build comprehensive contract data catalogues
- Build end-to-end monitoring and observability for mission-critical negotiation data pipelines
- Implement robust audit trails and data governance
- Build data infrastructure supporting real-time contract analysis
- Create data pipelines that integrate with major procurement systems
- Lead incident response and root-cause analysis
Requirements For Data Engineer
- 3+ years building and running data pipelines in AWS or Azure
- Expert-level programming in Python with focus on production-grade ETL systems
- Deep experience with batch and streaming frameworks
- Advanced skills in API & Enterprise Integration
- Strong expertise with RDBMS, NoSQL systems, data lakes
- Deep understanding of data encryption and security
- Expert-level comfort with CI/CD for data systems
- Experience with enterprise data at scale
- Deep familiarity with metrics, logging, tracing, and data quality tools
- Understanding of enterprise software requirements
Benefits For Data Engineer
- 30 days annual leave plus birthday day off
- Flexible working hours
- Remote first with quarterly gatherings
- Annual team retreat
- Bi-annual performance bonuses
- Temporary work from abroad up to 120 days/year
- Significant equity stake
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