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Well-known employer, common mid-level data engineer title, and metro/hybrid location increase applicant competition.
Core data engineering and ETL skills are highly transferable across industries despite Tenderlink-specific domain context.
Explicit 4–8 years plus mandatory Python, SQL, ETL, and web-scraping requirements raise filter strictness.
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Design, build, optimize, and maintain scalable data pipelines and web scraping processes for Tenderlink platform.
Ensure data quality, reliability, and completeness in data ingestion and pipeline operations under governance and risk compliance.
Collaborate with Product, Technology, and Commercial teams to translate data engineering plans into production-ready automation and AI-enabled solutions.
4+ years of experience in data engineering, data analyst, or similar technical roles involving data quality and automation.
Proficiency in Python (including web scraping tools like BeautifulSoup, Selenium), SQL, and ETL workflows.
Experience with structured data formats (CSV, Excel, JSON), web scraping challenges (site changes, pagination, dynamic content).
Degree in Data, Analytics, Computer Science, or related quantitative field.
Experienced working independently and collaboratively in Agile environments to deliver production-ready data solutions.
Strong technical problem solver with proven ability in building and troubleshooting automated data pipelines including web scraping.
Experienced in operational monitoring, data risk governance, and communicating technical concepts effectively to varied stakeholders.