Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Mindrift

Senior Python Data Scraping Engineer, Freelance

Mindrift

. Own end-to-end data extraction workflows across complex websites .

Posted 10/4/2026part-timeRemote • Sweden, Denmark, Finland, Norway, Austria, BelgiumSenior💰 $45 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in end-to-end data extraction workflows, ensuring data quality and accuracy while utilizing tools for web scraping and automation. Proficient in handling dynamic web content and large datasets, with a strong focus on data validation and cloud infrastructure.

Highest-signal resume keywords
Python Web ScrapingBeautifulSoupSeleniumData ValidationAWS

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringWeb ScrapingAutomationData CleaningData NormalizationDynamic Content ExtractionAPIs via ProxiesContainerization with DockerLLM FrameworksData Extraction from Complex Structures
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterGitHubCSVJSONGoogle Sheets
Industry Keywords
Data QualityAnti-Bot MechanismsCloud InfrastructureDynamic Site StructuresJavaScript-Rendered Content

Tech Stack

Tools & technologies
AWSCloudDockerJavaScriptPythonSelenium

About the role

Key responsibilities & impact
  • Own end-to-end data extraction workflows across complex websites
  • Ensure complete coverage, accuracy, and reliable delivery of structured datasets
  • Use available tools and custom workflows to accelerate data collection, validation, and task execution
  • Extract data reliably from dynamic and interactive web sources, adapting to JavaScript-rendered content and changing site behavior
  • Enforce data quality through validation checks, cross-source consistency controls, formatting specifications, and systematic verification
  • Scale scraping operations for large datasets using efficient batching or parallelization
  • Monitor failures and maintain stability against minor site structure changes
  • Use tools such as Apify, OpenRouter, and other technologies alongside technical expertise

Requirements

What you’ll need
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
  • Strong experience in Python web scraping, including BeautifulSoup, Selenium or similar, dynamic content (JS, AJAX, infinite scroll), and APIs via proxies
  • Proven ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets in CSV, JSON, or Google Sheets
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure such as AWS or equivalent and containerization with Docker in real workflows
  • Hands-on experience with LLM frameworks such as LangChain, OpenRouter, or similar applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic and ability to troubleshoot independently
  • English proficiency at Upper-intermediate (B2) or above
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
  • GitHub link is a plus

Benefits

Comp & perks
  • Freelance opportunity
  • Part-time remote work
  • Estimated 10–20 hours per week during active project phases