Data Engineer

Monq•Capon Bridge, WV

82d•PLN 15,700 - PLN 40,000•Remote

About The Position

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.

Requirements

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)
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
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

Nice To Haves

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

Responsibilities

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