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Senior Web Data Acquisition Engineer

ZEN.COM

Remote

PLN 120,000 - 180,000

Full time

Yesterday
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Job summary

A financial technology company in Poland seeks a dedicated individual to work with production AI and data systems. The role involves shaping applications that enhance financial tasks and ensuring data integrity. Successful candidates will thrive in a fast-paced, collaborative environment where learning and autonomy are emphasized. Experience with tools like ScrapeJS, Python, and REST APIs is crucial, alongside skills in managing data quality and automated systems.

Qualifications

  • Experience with production AI solutions.
  • Skill in data quality processes (normalization, validation).
  • Ability to work in a fast-paced, collaborative environment.

Responsibilities

  • Shape and use AI applications for financial tasks.
  • Ensure data integrity and quality in operations.
  • Develop systems resilient to challenges and layouts.

Skills

ScrapeJS & non-JS knowledge
Emulating human-like behavior
Resilient parsers
Monitoring & alerting on blocks/errors
Python or Java/Kotlin proficiency
REST APIs knowledge
Job description

ZEN. COM is a smart financial app designed for your everyday life – at home and on the go. We make payments, online shopping, and personal finance management fast, secure, and effortless. With ZEN, you can enjoy cashback on purchases, full control over your spending, and peace of mind thanks to purchase protection. A built-in multi-currency account lets you spend abroad or shop internationally with great exchange rates and no hidden fees.

Opportunity

We operate with a startup mindset: small, senior, fast-moving. The team is energetic, collaborative, and pragmatic. We use AI at multiple layers (change detection, parser generation, anomaly detection, agentic ops)—you’ll both use and shape these production‑ready applications and learn a lot along the way.

Why Join Us
  • Impact:Your work becomes the backbone of pricing & availability intelligence used across products and markets.
  • Learning:Hands‑on with production AI (LLMs, embeddings, agents) and modern data engineering.
  • Team:Talented, supportive peers; high autonomy and ownership; clear problem statements.
  • Pace & Pragmatism: We ship, measure, and improve.
  • Practical experience handling rate limits/challengesand building systems that degrade gracefully.
  • Solid grounding in data quality: normalization, validation, deduplication, and schema/versioning.
TL;DR Checklist
  • [ ] ScrapeJS& non-JS (headless, VMs)
  • [ ] Emulate human like behavior (proxies, rate, CAPTCHA, fingerprints)
  • [ ] Parsers resilient to layout changes
  • [ ] Monitor & alert on blocks/errors; retry/backoff
  • [ ] Python or Java/Kotlin
  • [ ] REST APIs creation and consumption
Nice to Have
  • Multi‑region traffic management and cost optimization.
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