Jobs in Opole, Poland
Remote Senior Web Data Acquisition Engineer (Resilient Crawling) @ ZEN.COM
ZEN.COM
Senior DevOps Engineer: Build Scalable AWS Platform
DualEntry
DevOps Engineer (Senior/Staff) @ DualEntry
DualEntry
Senior Guidewire Developer — Remote, Lead & Impact
Moondigo Sp. z o.o.
Remote Senior Data Engineer - Scalable AI/Adtech Platform
Varwise
Discover more opportunities than anywhere else. Find more jobs nowSenior Guidewire Developer @ Moondigo Sp. z o.o.
Moondigo Sp. z o.o.
Remote Senior Data Engineer @ Varwise
Varwise
Remote FinOps Senior Analyst — Azure Cost & Forecasting
Experis Polska
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Experis Polska
Senior UI Designer - Remote, Design Systems & Mentorship
Qodeca Sp. z o.o.
Senior UI Designer @ Qodeca Sp. z o.o.
Qodeca Sp. z o.o.
Remote Senior .NET Lead Developer (Backend/API)
Scalo
Senior/Team Leader.NET Developer @ Scalo
Scalo
Senior Java Backend Engineer | Event-Driven Microservices
Euvic S.A.
Senior JAVA Backend Developer @ Euvic S.A.
Euvic S.A.
Head of Development — Remote, AI‑Driven SaaS Leader
Plecto ApS
Head of Development @ Plecto ApS
Plecto ApS
Senior Python Platform Engineer - Cloud Infra (Remote)
Cloudlinux
Creator Success Manager: Growth & Monetization
Passion.io
Customer Success Manager - Growth & Monetisation (Global Remote | SaaS)
Passion.io
Remote OTC Accounting Analyst (Italian Fluent)
Conduent
Remote Engineering Manager - Commerce & Platform
Netguru
Remote Engineering Manager - Commerce & Platform
Netguru
Senior Web Data Acquisition Engineer
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
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.
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.
- 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.
- [ ] 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
- Multi‑region traffic management and cost optimization.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.