Senior Data Infrastructure Engineer

pbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Infrastructure Engineer (Scraping Scale) based in Belgium. /b /p pWe are seeking a Senior Data Infrastructure Engineer to design and scale high-performance web scraping and data ingestion systems. In this fully remote role, you will build the core infrastructure responsible for collecting millions of social media profiles, posts, and video records daily. You will tackle complex anti-bot challenges, develop resilient distributed pipelines, and ensure reliable data delivery at scale. Working at the intersection of data engineering, automation, and AI infrastructure, you will support large-scale analytical and machine learning workflows. This opportunity is ideal for an engineer who combines deep technical expertise with a strong focus on performance, reliability, and continuous improvement. /p pbAccountabilities: /b /p pThe Senior Data Infrastructure Engineer will lead the development and maintenance of scalable data collection systems, ensuring reliable ingestion, efficient orchestration, and high-quality data availability for downstream applications. /p ul liDesign and manage web scraping infrastructure using residential proxy networks, TLS fingerprinting, browser automation, and session rotation. /li liBuild fault-tolerant, high-throughput scraping pipelines to collect data from Instagram, TikTok, YouTube, X, and other web sources. /li liDevelop distributed queues and workflow orchestration systems using technologies such as Temporal, Ray, Apache Kafka, and Celery. /li liArchitect storage environments for structured and unstructured data using Parquet, Apache Iceberg, Snowflake, and Amazon S3. /li liImplement monitoring, automated alerts, and recovery mechanisms to identify platform changes, blocking patterns, and proxy failures. /li liMaintain reliable data ingestion at scale while minimizing downtime and supporting daily processing of millions of records. /li liEnable downstream AI and analytics workflows through robust, well-structured data infrastructure. /li /ul pbRequirements: /b /p pThe ideal candidate brings substantial experience in web scraping, data engineering, or reverse engineering, along with strong programming skills and expertise in distributed systems and data storage technologies. /p ul liAt least 4 years of experience in high-volume web scraping, data engineering, or reverse engineering. /li liStrong experience handling advanced anti-bot systems, including Cloudflare, Akamai, and PerimeterX, using TLS impersonation, browser automation, and proxy management. /li liAdvanced proficiency in Python or Go. /li liExtensive experience with browser automation and scraping frameworks such as Playwright, Puppeteer, Scrapy, or Selenium. /li liPractical knowledge of distributed systems and task queues, including Temporal, Ray, Kafka, and Redis. /li liStrong SQL skills and experience with modern analytical data lakes and data warehouses. /li liAbility to design scalable, fault-tolerant systems and troubleshoot complex data ingestion challenges. /li /ul pbPreferred

Qualifications:
/b /p ul liExperience extracting short-form video content and user metadata from TikTok, Instagram, and YouTube. /li liExperience integrating scraping outputs with vector databases and real-time AI processing queues. /li /ul pbBenefits: /b /p ul liFully remote work arrangement. /li liFull-time employment. /li liSalary, healthcare coverage, paid leave, and additional benefits are not specified in the provided

job description
. /li /ul pWe appreciate your interest and wish you the best /p