Data Engineer

We are looking for brilliant engineers to join Monq. We’re pushing the boundaries of AI with next-generation agentic systems that autonomously negotiate high-value enterprise contracts in a $4.2T strategic procurement market largely untouched by AI.

Our mission is to transform how enterprises negotiate critical deals, turning procurement from manual, intuition-driven work into a competitive advantage powered by intelligent AI agents.

Data Engineers are the backbone of Monq, building the scalable data infrastructure powering our autonomous negotiation agents. You’ll work with AI engineers, product teams, and procurement experts to turn complex contract data, vendor information, and negotiation histories into reliable insights. We are building the data foundation for AI agents to parse deal terms, benchmark conditions, and optimise outcomes in high-stakes enterprise environments.

• Design scalable ingestion pipelines for high-volume contract data, vendor systems, and procurement integrations
• Create advanced parsing for legal/procurement documents and multi-dimensional deal terms
• Build real-time data feeds for negotiation agents and decision dashboards

• Define and evolve schemas for contract intelligence, vendor benchmarking, and negotiation analytics
• Build comprehensive data catalogues with discoverability and lineage
• Design models supporting optimisation across price, terms, risk, timeline, and relationship factors

• Own data quality, latency, completeness, and lineage for mission-critical pipelines
• Champion secure, governed practices for sensitive contract data
• Implement audit trails and compliance for high-stakes negotiations

• Work with AI, Platform, and Product teams to provision datasets and features for negotiation agents
• Build infrastructure for real-time contract analysis and vendor research automation
• Create pipelines integrating with SAP, Oracle, Coupa, GEP, and enterprise workflows

• Improve efficiency through testing, CI/CD, and cost/performance tuning
• Lead incident response and root-cause analysis
• Optimise infrastructure cost while maintaining enterprise-grade reliability

• 3+ years building enterprise-scale data pipelines in AWS or Azure
• Expert Python for production ETL
• Strong experience with batch/streaming frameworks (Spark, Flink, Kafka Streams, Beam) and orchestrators (Airflow, Prefect, Dagster)

• Experience in contract/legal document processing or complex unstructured data
• Integration experience with enterprise systems (ERP, procurement, BI)
• Experience supporting ML/AI models in production

• Strong data modelling and schema design for enterprise datasets
• Advanced API ingestion (REST/gRPC), message queues (SQS, Kafka), SaaS integrations
• Expertise with RDBMS, No
  
  SQL, data lakes, and warehouse architectures
• Deep knowledge of security, encryption, RBAC/ABAC, compliance
• CI/CD for data systems, IaC (Terraform), and enterprise deployment workflows

• Observability, metrics, logging, tracing, data quality frameworks
• Ability to collaborate with AI, platform, and business teams
• Understanding enterprise security, scalability, audit, and integration needs
• Strong problem-solving for multi-dimensional data challenges

• UK salary: £120,000–£130,000 (transparent, finalised post-process)
• Significant equity stake
• Bi-annual performance bonuses tied to customer outcomes

• Remote-first with quarterly gatherings
• Direct collaboration with Fortune 500 procurement teams
• Fully-funded annual AI innovation retreat

• Visa sponsorship for exceptional candidates
• Define the future of AI-powered enterprise negotiations
• Mentorship from senior AI and enterprise software leaders

• No HR organisation
• Minimum 30 days annual leave + birthday day off
• Flexible hours
• Temporary work abroad up to 120 days/year (subject to nationality/tax rules)