Senior Data Infrastructure Engineer (Scraping & Scale)

Jobgether SRL; Abu Dhabi; Remote; AED 240,000 - 360,000; Full time

Benefits offered by this job

Fully remote work

Job summary

Jobgether SRL is seeking a Senior Data Infrastructure Engineer to design and scale high-performance web scraping systems in a fully remote role based in the United Arab Emirates.

You will build resilient pipelines, tackle anti-bot challenges, and support AI workflows with scalable data infrastructure, leveraging Temporal, Kafka, and distributed queues.

Qualifications

• 4+ years of experience in high-volume web scraping, data engineering, or reverse engineering.
• Experience handling advanced anti-bot systems (Cloudflare/Akamai/PerimeterX) via TLS impersonation, browser automation, and proxies.
• Strong Python or Go skills and experience with browser automation frameworks.
• Familiarity with distributed queues and task systems (Temporal, Ray, Kafka, Redis).
• Solid SQL skills and experience with data lakes and data warehouses.
• Ability to design scalable, fault-tolerant ingestion pipelines and troubleshoot complex data challenges.

Responsibilities

• Design and manage web scraping infrastructure using proxies, TLS fingerprinting, browser automation, and rotation.
• Build high-throughput pipelines to collect data from major sources like Instagram, TikTok, YouTube, X, and more.
• Develop distributed queues and orchestration with Temporal, Ray, Kafka, and Celery.
• Architect storage with Parquet, Iceberg, Snowflake, and S3 for structured and unstructured data.
• Implement monitoring, alerts, and recovery for platform changes and proxy failures.
• Maintain reliable data ingestion at scale for daily multi-million records.

Skills

High-volume web scraping

Data engineering

Reverse engineering

Tools

Python

Go

Playwright

Puppeteer

Scrapy

Selenium

Temporal

Ray

Apache Kafka

Celery

Redis

Parquet

Apache Iceberg

Snowflake

Amazon S3

Job description

This 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 United Arab Emirates.

We 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.

Accountabilities

• Design and manage web scraping infrastructure using residential proxy networks, TLS fingerprinting, browser automation, and session rotation.
• Build fault-tolerant, high-throughput scraping pipelines to collect data from Instagram, TikTok, YouTube, X, and other web sources.
• Develop distributed queues and workflow orchestration systems using technologies such as Temporal, Ray, Apache Kafka, and Celery.
• Architect storage environments for structured and unstructured data using Parquet, Apache Iceberg, Snowflake, and Amazon S3.
• Implement monitoring, automated alerts, and recovery mechanisms to identify platform changes, blocking patterns, and proxy failures.
• Maintain reliable data ingestion at scale while minimizing downtime and supporting daily processing of millions of records.
• Enable downstream AI and analytics workflows through robust, well-structured data infrastructure.

Requirements

• At least 4 years of experience in high-volume web scraping, data engineering, or reverse engineering.
• Strong experience handling advanced anti-bot systems, including Cloudflare, Akamai, and PerimeterX, using TLS impersonation, browser automation, and proxy management.
• Advanced proficiency in Python or Go.
• Extensive experience with browser automation and scraping frameworks such as Playwright, Puppeteer, Scrapy, or Selenium.
• Practical knowledge of distributed systems and task queues, including Temporal, Ray, Kafka, and Redis.
• Strong SQL skills and experience with modern analytical data lakes and data warehouses.
• Ability to design scalable, fault-tolerant systems and troubleshoot complex data ingestion challenges.

Preferred Qualifications

• Experience extracting short-form video content and user metadata from TikTok, Instagram, and YouTube.
• Experience integrating scraping outputs with vector databases and real-time AI processing queues.

Benefits

• Fully remote work arrangement.
• Full-time employment.
• Salary, healthcare coverage, paid leave, and additional benefits are not specified in the provided job description.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.