Data Engineer at Trainline developing data products with Scala and AWS in a hybrid work environment. Collaborate with cross - functional teams to enhance data - driven customer experiences.
About the role
- Web Scraping Engineer developing scalable systems for proxy and web data scraping solutions. Collaborating with a team to handle over 60PB monthly data traffic from Fortune 500 companies.
Responsibilities
- Understand product and business requirements, and design solutions to meet them.
- Design and build scalable, high-performance systems.
- Work on our data platform to enable building and delivering large datasets to clients.
- Use internal scraping tools or build new ones when necessary.
- Write clean, reusable code.
- Own and justify technical decisions.
- Collaborate with the team to deliver quality solutions.
- Do code reviews.
Requirements
- 2+ years of any backend development experience with Python or Go.
- Proficient understanding of code versioning tool Git.
- Experience with AI-driven IDEs like Cursor, Claude Code, Antigravity, etc.
- Experience with some of these technologies:
- Web Scraping, parsing, headless browsers
- PostgreSQL
- Google Cloud Storage, BigQuery
- Kubernetes
Benefits
- expansive benefit package covering learning, well-being, celebration, and much more
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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