DATA ENGINEER - MONQ

We are looking for brilliant engineers to join our team at Monq. We’re pushing the boundaries of AI with next-generation agentic systems that can autonomously negotiate high-value enterprise contracts. We’re focusing on a $4.2 trillion market of strategic procurement that has been largely untouched by AI innovation.
Our mission is to transform how enterprises negotiate their most critical deals, turning strategic procurement from a manual, gut-driven process into a competitive advantage powered by intelligent AI agents.

ESSENTIAL QUALIFICATIONS:

• Enterprise Data Engineering Expertise: 3+ years building and running data pipelines in AWS or Azure, with experience in enterprise B2B environments and complex data integration challenges
• Advanced Technical Skills: Expert-level programming in Python with focus on production-grade ETL systems; experience with enterprise data at scale
• Modern Data Pipeline Mastery: Deep experience with batch and streaming frameworks (Apache Spark, Flink, Kafka Streams, Beam), including orchestration via Airflow, Prefect, or Dagster

PREFERRED QUALIFICATIONS:

• Contract/Document Processing Experience: Background in legal/procurement document processing, contract analysis, or complex unstructured data parsing
• Enterprise Integration Experience: Proven track record integrating with major enterprise systems (ERP, procurement platforms, business intelligence tools)
• AI/ML Pipeline Experience: Experience building data infrastructure that supports machine learning models and AI agents in production

TECHNICAL REQUIREMENTS:

• Data Modelling & Schema Management: Demonstrated expertise designing and evolving schemas for complex enterprise data, including data contracts and comprehensive cataloguing systems
• API & Enterprise Integration: Advanced skills building data ingestion from REST/gRPC APIs, enterprise file systems, message queues (SQS, Kafka), and complex SaaS integrations with robust error handling
• Storage & Query Engines: Strong expertise with RDBMS (PostgreSQL, MySQL), NoSQL systems (DynamoDB, Cassandra), data lakes (Parquet, ORC), and modern warehouse architectures
• Enterprise Security & Compliance: Deep understanding of data encryption, secrets management, RBAC/ABAC, and compliance frameworks relevant to enterprise procurement data
• DevOps & Automation: Expert-level comfort with CI/CD for data systems, infrastructure as code (Terraform), version control, and enterprise deployment workflows

ESSENTIAL SKILLS:

• Observability & Quality: Deep familiarity with metrics, logging, tracing, and data quality tools (Great Expectations, Monte Carlo, custom validation suites) for mission-critical systems
• Collaborative Leadership: Experience working closely with AI engineering, platform, and business teams in fast-paced, high-stakes environments
• Enterprise Mindset: Understanding of enterprise software requirements including security, scalability, audit compliance, and integration complexity
• Problem-Solving: Ability to architect solutions for complex, multi-dimensional data challenges in enterprise procurement environments

ACCOMMODATIONS FOR APPLICANTS WITH DISABILITIES

Monq is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly at recruitment@monq.io

ABOUT THE ROLE

Data Engineers are the backbone of Monq. They design, build, and maintain the scalable data infrastructure that powers our autonomous negotiation agents. You’ll work closely with AI engineers, product teams, and procurement domain experts to transform complex contract data, vendor information, and negotiation histories into structured, reliable insights that drive intelligent decision-making across our platform.
We’re creating the data foundation for AI agents to parse multi-dimensional deal terms, benchmark contract conditions, and optimise negotiation outcomes in high-stakes enterprise environments. This role is an opportunity to work on deeply technical challenges with real-world impact in Fortune 500 procurement operations.