Senior Data Engineer - Web Scraping

📋 Description

• Design, develop, deploy, and maintain web scrapers to collect datasets.
• Build data pipelines ingesting scraped data into databases/data warehouses.
• Develop and manage scheduled workflows with Airflow and other tools.
• Collaborate with analysts and stakeholders on data needs.
• Ensure data quality, availability, and integrity with QC checks.
• Maintain alerting and resolve data incidents for reliable delivery.

🎯 Requirements

• Bachelor’s or Master’s in CS/Engineering or related field.
• 4–6 years of data engineering experience.
• Python and strong SQL/database skills.
• Advanced Pandas for cleaning and transformation.
• Web scraping with Selenium, Scrapy, Fiddler, Postman, XPath.
• Airflow for workflow orchestration and pipelines.

🎁 Benefits

• Fully remote position from anywhere in Europe.
• Full-time opportunity in a collaborative engineering environment.
• Autonomy, ownership, and trust in tackling challenges.
• Work on advanced web-scraping, data engineering, automation, and products.
• Exposure to complex datasets supporting analytical decisions.
• Collaboration with engineers, product, analysts, data scientists.