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Staff Data Engineer

Open 55d

We are #VLteam - tech enthusiasts constantly striving for growth. The team is our foundation, that's why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!

What we expect in general

Technical Leadership & System Design:

  • Proven experience building web crawling or large-scale data systems from scratch.

  • Strong architectural skills in designing scalable, fault-tolerant distributed systems.

  • Track record leading complex technical initiatives and driving architecture direction for teams.

  • Demonstrated ability to evolve production systems incrementally while maintaining reliability.

  • Experience mentoring engineers at all levels and promoting a collaborative culture.

Data Engineering Expertise:

  • Deep background in large-scale data engineering (terabytes daily).

  • Hands-on experience with cloud data warehouses (BigQuery, Snowflake).

  • Experience with Apache Kafka, Kubernetes (GKE/EKS), and orchestration tools (Airflow).

  • Familiarity with multi-cloud environments (GCP + AWS).

  • Expertise in designing and operating ETL/ELT pipelines.

Web Crawling & Data Extraction:

  • Deep expertise in web crawling technologies and advanced scraping (Scrapy or similar).

  • Experience in extracting structured/unstructured web data and SERP extraction.

  • Knowledge of proxy infrastructure management, anti-bot detection, and ethical crawling.

  • Familiarity with crawling vendors and AI/LLM-based extraction approaches.

Client Engagement & Advisory:

  • Support the VirtusLab U.S. and international teams by lending senior technical expertise to client-facing activities, including technical discovery sessions, workshops, and solution architecture.

  • Conduct requirements analysis and solution discovery, identifying business and technical needs.

  • Provide technical consulting and advisory services, recommending appropriate data architectures aligned with customer goals.

  • Prepare and review technical sections of commercial offers, including solution descriptions, statements of work (SoWs), project estimates, timelines, and delivery models.



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What this application asks

recruitee

Full name, Email, CV, Cover letter, Phone

  • Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at Szlak 49 Street, 31-153 Cracow. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*. yes / no
  • Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at Szlak 49 Street, 31-153 Cracow, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*. yes / no · optional
  • If you would like to add something, write it here! written answer · optional

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