Web Data Engineer

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Sizanid-Staffing
Published
March 15, 2026
Location
Philippines, United Kingdom
Job Type

Job Description

Position: Web Data Engineer (Data Collection & Automation)

About Our Client:

Our client is a renowned tech company focused on leveraging data to drive insights and decision-making across various industries. They are seeking a skilled Web Data Engineer to develop and automate data collection processes that support their data analytics initiatives. This role is crucial for ensuring that accurate, high-quality data is readily available for analysis.

Key Responsibilities:

  • Design, develop, and maintain scalable data collection architectures and workflows.
  • Automate data extraction processes from various web sources, APIs, and data feeds.
  • Implement web scraping strategies while ensuring compliance with legal and ethical standards.
  • Collaborate with data analysts and data scientists to understand data requirements and ensure that the data collected meets their needs.
  • Perform data cleansing, transformation, and validation to ensure data integrity and accuracy.
  • Monitor and troubleshoot data pipelines, addressing any issues or discrepancies in a timely manner.
  • Document processes, workflows, and data sources for visibility and reproducibility.
  • Stay updated on industry trends in data collection techniques, tools, and technologies.
  • Participate in code reviews and contribute to continuous improvement in data engineering practices.

Requirements

Qualifications & Skills:

  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Engineer, Data Scientist, or in a similar role focused on data collection and automation.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with web scraping tools and technologies such as Beautiful Soup, Scrapy, Selenium, or similar frameworks.
  • Proficiency in SQL and experience with databases like MySQL, PostgreSQL, or NoSQL solutions.
  • Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and data processing tools (Apache Spark, Apache Airflow, etc.).
  • Understanding of data governance, data quality, and data management principles.
  • Excellent analytical and problem-solving skills, with a keen attention to detail.
  • Strong communication skills to collaborate effectively with technical and non-technical teams.

Preferred Qualifications:

  • Experience with ETL processes and data integration tools.
  • Knowledge of data visualization tools (Tableau, Power BI, etc.) is a plus.
  • Familiarity with version control systems such as Git.
  • Experience working in Agile development environments.

Benefits

Full Time, Freelance and Contract roles available

Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
ETL Java Scala Nosql Postgresql Mysql Azure Google Cloud Spark Tableau Python Apache Spark SQL Airflow AWS

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