Pst AG

BerlinGermany

As a Compliance Specialist, you will play a critical role in ensuring that the company adheres to legal standards and internal policies. Your work will help maintain a culture of compliance and integrity within the organization. **Key Responsibilities:**- **Monitor Compliance Regulations:** Regularly review and stay updated on laws and regulations relevant to the industry to ensure the company meets all standards.- **Conduct Audits and Assessments:** Perform periodic audits to assess compliance levels and identify areas for improvement, helping to mitigate risks.- **Develop Compliance Policies:** Collaborate with various departments to create and implement compliance policies and procedures that align with legal requirements.- **Train Employees:** Provide training and guidance to staff on compliance matters to promote awareness and understanding of policies and regulations.- **Report Findings:** Document and present compliance evaluation findings to management, offering insights and recommendations for enhancements.- **Handle Compliance Issues:** Investigate compliance-related issues and work with stakeholders to resolve concerns in a timely manner.**Required Skills and Expectations:**Candidates should have 3 to 5 years of experience in compliance or a relevant field. A professional degree in law, business administration, or a related area is preferred. The ideal candidate should possess strong analytical skills, attention to detail, and excellent communication abilities. Proficiency in using compliance management software is essential. You should be capable of working independently in a remote environment while managing your time effectively. A proactive approach to problem-solving and a solid understanding of legal terminology is also important.

Data Extraction Engineer designs extraction systems (and not just scripts). They build and maintain a next-generation data acquisition platform that treats web scraping as a declarative, specification-driven discipline. Instead of hard-coding XPaths for every site, Web Scraping Developer defines what data is neededusing schemas, natural language descriptions, or visual blueprintsand lets intelligent pipelines figure out how to get it.Key Responsibilities:Specification-Driven Extraction Engineering-Design and maintain declarative extraction specificationsusing Pydantic models, JSON schemas, or domain-specific languagesthat describe exactly which fields to capture, their types, and validation rules.Implement pipelines that translate these specifications into executable extraction plans, leveraging both classical (Scrapy, Playwright) and AI-augmented (LLM-based semantic parsing) backends.Build reusable specification libraries for recurring data types (product prices, tariff codes, regulatory texts) to accelerate onboarding of new sources.Autonomous & Self-Healing Systems-Deploy self-healing spiders that automatically detect website layout changes and repair themselves using Model Context Protocol (MCP) servers (e.g., Scrapy MCP Server, Playwright MCP).Integrate semantic extraction (Scrapy-LLM, custom LLM pipelines) to eliminate selector brittlenessspiders rely on field descriptions, not fragile XPaths.Orchestrate complex, multi-step browsing workflows with agentic frameworks (BMAD/TEA, AutoGPT-like agents) that reason about page state, adapt to anti-bot measures, and correct their own behaviour in real time.Platform Thinking & Reusability-Move beyond one-off scrapers: build a component-based extraction platform where selectors, login handlers, and pagination logic are shared, versioned, and tested.Implement monitoring, alerting, and automatic rollback for failed extraction runs.Champion ethical crawling by designrate limiting, robots.txt respect, and compliance with GDPR/CCPA are built into the specification layer, not retrofitted.Collaboration & Continuous Innovation-Partner with data scientists and domain experts to refine extraction specifications for complex, unstructured domains (e.g., legal texts, tariff classifications).Evaluate and pilot emerging tools to push automation coverage beyond 90%.Document and evangelise specification-driven best practices across the engineering organisation.Candidate Profile:Education and Experience -Bachelors degree in Computer Science3+ years of experience in web scraping or data extractionSkills and competences-Specification-Driven Extraction Experience defining extraction requirements via schemas (Pydantic, JSON Schema) and executing them through both traditional crawlers and LLM-based semantic parsers.SelfHealing & Semantic Extraction Handson use of ScrapyLLM, Scrapy MCP Server, or similar systems that decouple field definitions from page structure.Agentic Workflows Familiarity with frameworks that give LLMs browser control (Playwright + MCP, BMAD/TEA) to handle complex, nondeterministic crawling tasks.Classical Scraping Fundamentals You still know how to write a Scrapy spider or a Playwright script when needed, but you actively seek to replace that work with reusable, specification-driven components.Data Validation & Storage Ability to define validation rules within specifications and land clean data into SQL/NoSQL databases or data lakes.Python proficiency: the focus is on an extraction engineer who happens to use Python.HTTP, DOM, XPath, CSS.Basic API integration and authentication flows.Preferred / Nice-to-Have Skills:Contributions to open-source scraping or AI-automation projects.Experience training or fine-tuning small LLMs for domain-specific extraction.Familiarity with data privacy engineering (GDPR, CCPA) baked into specification design.DevOps light Docker, CI/CD for testing extraction specifications.Mindset & Approach (Non-Negotiable):Strong belief that the future of scraping is declarative, not imperative. Youd rather write a schema that says extract the price than debug an XPath when a website redesigns.Looking to shift from code that scrapes to systems that understand extraction.