Senior Web Scraping Data Engineer - Remote

Jobgether; Turkey; On-site; TRY 150,000 - 240,000; Full time

Benefits offered by this job

Fully remote

Full-time

Autonomy

Job summary

Jobgether in Turkey is seeking a Senior Data Engineer specialized in web scraping to design and maintain scrapers, transform diverse sources into reliable datasets, and deliver production-ready data products. The role focuses on Python development, data processing, and workflow orchestration in a remote setting.

You will collaborate with analysts and engineers, own end-to-end data pipelines, implement QC checks, and improve infrastructure while maintaining high engineering standards and

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, or a related technical discipline.
• 4-6 years of professional experience in data engineering or a closely related field.
• Strong programming skills in Python and strong knowledge of SQL and database technologies.
• Advanced hands-on expertise with the Python Pandas library for data cleaning, manipulation, exploration, and transformation.
• Strong web-scraping experience with tools and technologies such as Selenium, Scrapy, Fiddler, Postman, and XPath.
• Strong experience with Apache Airflow for workflow orchestration and data pipeline management.
• Solid understanding of web technologies, including HTML, JavaScript, APIs, and related concepts.
• Proven experience working with large datasets and performing data cleaning, transformation, manipulation, and replacement.
• Ability to design scalable infrastructure, data products, and technical tools for data-focused teams.
• Strong verbal and written communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Self-motivated, detail-oriented, and comfortable working independently while taking ownership of projects and outcomes.
• Experience with Docker and workload containerization is preferred; Kubernetes experience is a plus.
• Familiarity with automation and CI/CD technologies such as Jenkins and GitHub Actions is an advantage.
• Experience with AWS services such as S3, RDS, SNS, SQS, and Lambda is a plus.

Responsibilities

• Design, develop, deploy, and maintain web scrapers using a range of scraping techniques and tools to collect alternative datasets from diverse sources.
• Use Python and Pandas to clean, explore, transform, manipulate, and prepare large datasets for downstream consumption.
• Build and maintain efficient data pipelines that ingest scraped data into databases and data warehouses.
• Develop and manage scheduled workflows using Apache Airflow and other orchestration tools to ensure reliable and timely data delivery.
• Collaborate with analysts and cross-functional stakeholders to understand current and anticipated data requirements and translate them into effective technical solutions.
• Develop quality-control checks to validate data availability, accuracy, consistency, and integrity.
• Maintain alerting systems, investigate time-sensitive data incidents, and resolve operational issues to ensure reliable day-to-day data delivery.
• Design and implement tools, applications, and automation that improve the capabilities and efficiency of the web-scraping platform.
• Contribute to infrastructure and data-product design, bringing practical solutions that support data scientists and other technology teams.
• Work independently while collaborating with engineering, product, and technology stakeholders to deliver high-quality solutions and continuously improve existing systems.

Skills

Python

SQL

Pandas

Web scraping

Selenium

Scrapy

Airflow

Docker

Kubernetes

AWS

Data pipelines

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Airflow

Jenkins

GitHub Actions

Docker

Kubernetes

Job description

Jobgether in Turkey is seeking a Senior Data Engineer specialized in web scraping to design and maintain scrapers, transform diverse sources into reliable datasets, and deliver production-ready data products. The role focuses on Python development, data processing, and workflow orchestration in a remote setting.

You will collaborate with analysts and engineers, own end-to-end data pipelines, implement QC checks, and improve infrastructure while maintaining high engineering standards and