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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Monq - **Location:** Greater London, UK - **Experience:** Experienced - **Salary:** £120,000.0 - £130,000.0 - **Contract:** Temporary contract - **Skills:** 3d Models, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Software as a Service, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Python (Programming Language), NoSQL, Oracle (Applications), Performance Tuning, Queueing Systems, Role-Based Access Control, DataOps, SAP (Applications), Data Streaming, Systems Integration, Unstructured Data, Data Logging, Enterprise Software Applications, Data Ingestion, Delivery Pipeline, Apache Spark, Data Lakes, Apache Flink, Real Time Data, Apache Kafka, Coupa Procurement, Amazon Simple Queue Service (SQS), Terraform, Grpc, Data Pipelines - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815452436-data-engineer ## About the Role * 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 ## Description 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 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)