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We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
Your day-to-day:
Up for the challenge? Let’s talk!
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
Your day-to-day:
- Collaborate with data engineers and developers in an agile environment to design and maintain the analytical layer on top of our datasets, enabling scalable, production-ready data products
- Explore and prototype new datasets by validating data logic, extracting actionable insights, and supporting product experimentation efforts to accelerate the development of new data offerings and revenue streams
- Conduct on-demand, targeted analyses to support internal stakeholders and business teams, providing data-driven insights that inform strategy, operations, and product decisions
- Enrich and enhance datasets with product-ready calculated fields and derived metrics, while optimizing computation logic to ensure performance and scalability on large-scale data workloads
- Assist in building automated or ad-hoc QA validation processes to ensure data accuracy, reliability, and consistency across our data products
- Develop and maintain entity resolution techniques to match and link data across diverse sources, ensuring high-quality data integration
- Automate scraping logic and source queue generation using data-driven models to streamline and scale source acquisition and ingestion workflows
- Monitor production pipelines and models for data drift or failure, contributing to system stability by proactively identifying and resolving data-related issues
- 4+ years of previous experience in analytical role or engineering role
- Proven ability to discover trends and extract actionable insights from data that deliver business value
- Excellent skills in SQL, proficient skills in Python
- Structural thinking and ability to clearly express oneself and align with different stakeholders
- Ability to effectively cooperate and enable others to reach common objectives
- Attention to details and propensity to dig into deeper layers of any matter to inspire potential improvements
- Experience in Spark
- Prior experience with data modeling Dagster, DBT, Superset, Trino
- Previous experience working in the same team with data engineers
- Business acumen and general commercial awareness how insights can convert to value and, in turn, unlock new revenue and business growth
- Excellent written and spoken English
- Gross salary: 3200 - 5200 EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience
Up for the challenge? Let’s talk!
Key Skills
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sql
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- Posted
- Jun 26, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Vilnius
- Company
- Oxylabs.io
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-25
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Site Reliability Engineer (Mid-Senior)
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PHP/Go Developer (Mid-Senior)
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