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Monq

Data Engineer

Capon Bridge
zł 15.7k – zł 40k/month
Posted 25 days ago
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About the Role

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.

What You'll Be Doing

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

Requirements

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

Compensation and Benefits

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Competitive Package

  • 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)

Our Interview Process

A focused process for senior data engineering talent:

Screening Call (30 minutes)

  • 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

About Monq

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.

Equal Opportunities Statement

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.

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.

Important notice for candidates

Job scams are on the rise, and fraudsters sometimes impersonate companies like Monq to target applicants. Please keep these guidelines in mind when applying for any of our open roles:

  • Apply only through official Monq channels. We post roles solely on our own careers page and verified partner job boards such as LinkedIn. We don't use third-party agents or platforms to manage our recruitment, and we'll never contact you about a role you didn't apply for.
  • Verify every email. All genuine communication from our team comes from an official @monq.io address. Check the sender's full address carefully—lookalike domains (extra letters, swapped characters, or free email providers like Gmail or Outlook) are a red flag.
  • We will never ask for money or financial details. Monq does not request payment, equipment fees, or personal financial information (bank details, card numbers, deposits) at any stage of the hiring process. Any such request is a scam.
  • When in doubt, confirm. If something feels off, pause and verify directly with us before responding or sharing any information.
  • If you receive a suspicious message claiming to be from Monq, please don't reply or click any links. Report it to us at security@monq.io and, where relevant, to your local authorities.

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Additional Information for Candidates Based in Poland

Salary

  • Poland: PLN 15,700 – PLN 40,000 gross monthly
  • Other locations: Compensation will be discussed during the interview process
  • Final compensation will be determined based on the candidate's qualifications, skills, and previous experience

The salary range stated in this advertisement (or disclosed during the recruitment process) is provided solely to comply with the pay transparency obligations under the Polish Labour Code, implementing Directive (EU) 2023/970. It is for information purposes only and does not constitute an offer within the meaning of Article 66 of the Polish Civil Code, nor any binding commitment to employ the candidate or to pay a specific amount. The final remuneration will be determined individually on the basis of the candidate's qualifications and experience and the outcome of the recruitment process, and will be set out in the employment contract or other agreement concluded between the parties. The employer reserves the right to adjust the range during recruitment as further information is obtained.

Widełki wynagrodzenia wskazane w niniejszym ogłoszeniu (lub przekazane w toku procesu rekrutacji) podawane są wyłącznie w celu realizacji obowiązków w zakresie jawności wynagrodzeń wynikających z Kodeksu pracy, wdrażających dyrektywę (UE) 2023/970. Mają one charakter wyłącznie informacyjny i nie stanowią oferty w rozumieniu art. 66 Kodeksu cywilnego ani jakiegokolwiek wiążącego zobowiązania do zatrudnienia kandydata lub wypłaty określonej kwoty. Ostateczna wysokość wynagrodzenia zostanie ustalona indywidualnie, w oparciu o kwalifikacje i doświadczenie kandydata oraz wynik procesu rekrutacji, i zostanie określona w umowie o pracę lub innej umowie zawartej pomiędzy stronami. Pracodawca zastrzega sobie prawo do korekty widełek w toku rekrutacji w miarę pozyskiwania dodatkowych informacji.

Consent Declaration (Required for Candidates Based in Poland)

If you are based in Poland, please include the signed Consent Declaration below in your CV before submitting your application.

"On the basis of Article 7(1) GDPR, I declare that I consent to the processing by the controller, Monq Ltd, of my personal data for the purpose of carrying out the recruitment procedure for the position covered by the recruitment process.

The above consent has been given freely in accordance with Article 4(11

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Skills

Python
AWS
Azure
Spark
Flink
Kafka
Airflow
Data Modelling
ETL
API Ingestion
NoSQL
Terraform
CI/CD
RDBMS
Data Lake
Data Warehouse

Location

Istanbul, Istanbul, Turkey

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