- Company: Get A Job.ai
- Location: Serbia
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential technology client seeking a Senior Python Data Scraping Engineer for a specialized freelance engagement in Serbia. This remote role focuses on building and maintaining sophisticated web scraping workflows that deliver clean, structured data for real-world applications. If you have deep expertise in Python-based data extraction and a methodical approach to handling complex scraping challenges, we'd like to hear from you.
Responsibilities
- Own complete data extraction workflows across complex websites, ensuring accuracy, comprehensive coverage, and reliable delivery of structured datasets
- Build and optimize custom scraping solutions that handle dynamic content, JavaScript-rendered pages, and evolving site architectures
- Implement robust validation checks and quality controls to ensure data consistency, proper formatting, and adherence to specifications before delivery
- Scale scraping operations for large datasets using efficient batching and parallelization techniques while monitoring for failures and maintaining stability
- Adapt extraction approaches as needed to work with interactive web sources, anti-bot mechanisms, and changing site behaviors
- Leverage automation tools and frameworks to accelerate data collection, validation, and task execution within defined requirements
What We're Looking For
Required Experience:
- Minimum 5+ years of relevant experience in data engineering, web scraping, automation, or software development
- Strong expertise in Python web scraping using BeautifulSoup, Selenium, or similar libraries
- Proven ability to extract data from dynamic content including JavaScript, AJAX, and infinite scroll implementations
- Experience working with complex data structures such as hierarchies, archived pages, and inconsistent HTML
- Solid background in data cleaning, normalization, and validation, with delivery of structured datasets in formats like CSV, JSON, or Google Sheets
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
- Hands-on experience with cloud infrastructure (AWS or equivalent) and containerization using Docker
- Practical experience with LLM frameworks such as LangChain or similar tools applied to automation tasks
- English proficiency at Upper-Intermediate (B2) level or above
Essential Qualities:
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- Methodical, systematic approach to problem-solving
- Ability to work confidently with modern development tools and technologies
Preferred:
- Bachelor's or Master's degree in Engineering, Applied Mathematics, Computer Science, or related technical fields
- Active GitHub profile demonstrating relevant work
Project Details:
- Location: Serbia (Remote)
- Type: Freelance
- Estimated time commitment: 10–20 hours per week during active project phases
How We Work With You
Get A Job.ai represents this confidential client in their search for exceptional technical talent. When you apply through our platform at getajob.ai, one of our specialized recruiters will review your qualifications and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration and guide you through their interview process.
Please apply only through Get A Job.ai—do not attempt to contact the client directly, as we are managing this search exclusively.
Pay
This is a freelance engagement with compensation based on contribution level and output quality. Our client has indicated earning potential in the range that supports competitive rates for senior-level data engineering specialists in this market.
Equal Opportunity
Get A Job.ai is committed to inclusive hiring practices. We evaluate all candidates based on qualifications and merit, and we encourage applications from professionals of all backgrounds.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in Serbia
Serbia, officially the Republic of Serbia, is a landlocked country in Southeast and Central Europe. Located in the Balkans, it is bordered by Hungary in the north, Romania in the northeast, Bulgaria in the southeast, North Macedonia in the south, Croatia in the northwest, Bosnia and Herzegovina in the west, and Montenegro in the southwest. Serbia also claims to share a border with Albania through the disputed territory of Kosovo. Serbia has about 6.6 million inhabitants, excluding Kosovo. Belgrade, Serbia's capital, is also its largest city.
🇷🇸 Relocation safety for Serbia: Exercise Normal Caution — via Warnely, CC BY 4.0
National unemployment rate in Serbia: 7.1% — via World Bank
Wage growth in Serbia (year over year): 11.8% — via Eurostat
GDP per capita in Serbia: $15,262 — via World Bank
Consumer price inflation in Serbia: 3.9% (annual) — via World Bank
Real GDP growth in Serbia: 2.0% (annual) — via World Bank
Statutory minimum wage in Serbia: €743/month — via Eurostat
Cost of living in Serbia: 38.6% below the EU average — via Eurostat
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Senior Python Data Scraping Engineer (Freelance)
- Employer Get A Job.ai
- Location Serbia
- Type Part Time
- Pay (from listing) Pay not listed
- Posted September 21, 2026
- Apply by October 21, 2026
- Country Serbia
- Overview Full job description on this page (527 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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