Senior Data Engineer - Enterprise Contract Data Infrastructure

Data Engineer – Monq

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.

Build Enterprise Contract Data Infrastructure

• 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

Manage Strategic Procurement Data Architecture

• 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

Ensure Enterprise-Grade Data Operations

• 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

Enable AI-Powered Negotiation

• 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

Drive Operational Excellence

• 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

Essential Qualifications

• 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)

Preferred Qualifications

• 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

Technical Requirements

• Strong data modelling and schema design for enterprise datasets
• Advanced API ingestion (REST/gRPC), message queues (SQS, Kafka), SaaS integrations
• Expertise with RDBMS, NoSQL, data lakes, and warehouse architectures
• Deep knowledge of security, encryption, RBAC/ABAC, compliance
• CI/CD for data systems, IaC (Terraform), and enterprise deployment workflows

Essential Skills

• 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

Competitive Package

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

Work Environment

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

Career Growth

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

Other Benefits

• 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)

A focused process for senior data engineering talent:

Initial Screening (30 min, only if needed)

• Review background and motivation
• Overview of Monq’s data challenges
• Alignment on goals and expectations

Online Assessment (45 min)

• Technical data engineering and cultural fit

Technical Architecture Interview (60 min)

• Real-world pipeline design for contract processing
• System design for enterprise integrations
• Scalability, security, reliability discussion

Problem-Solving Interview (45 min)

• Deep dive into a complex data challenge

Bar Raiser & On-site Collaboration (half-day)

• Discussion with co-founder
• Work with data/AI teams on current pipeline issues
• Meet procurement/domain experts and enterprise stakeholders

Monq is building the first AI platform for strategic procurement negotiation, creating a blue ocean in a $4.2T market overlooked by AI. Our team combines deep AI expertise with enterprise software and procurement experience. Backed by forward-thinking investors and leaders from Revolut and HSBC, we’re positioned to become the category-defining platform for AI-powered procurement.

Every 1% improvement in strategic procurement represents a $42B market impact. We’re not just building software—we’re creating the future of how enterprises negotiate their most critical deals.

Monq is an equal-opportunity employer. All applicants receive consideration regardless of protected characteristics. We encourage applicants from all backgrounds and believe diversity strengthens our ability to build AI that serves enterprise clients.