About this role

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.

In this role, you will:

- Develop and maintain entity resolution techniques to match and link records across sources with inconsistent identifiers.

- Prototype, build, and evaluate LLM and ML-based extraction and inference models that turn unstructured or free-text data into structured outputs.

- Automate scraping logic and source queue generation using data-driven models to streamline and scale source acquisition workflows.

- Build, iterate on, and monitor applied ML models to proactively identify data or concept drift.

- Enrich and enhance datasets with product-ready calculated fields and derived metrics.

- Assist in building automated or ad-hoc QA validation processes to validate model output accuracy, reliability, and consistency.

Your skills & experiences

- 4+ years of previous experience as a Data Scientist, Data Analyst, or Data Engineer, with a strong background in data modeling, ML, and NLP.

- Excellent programming skills in Python, proficiency in SQL, and hands-on experience with Spark.

- Deep, structural thinking with the ability to communicate clearly and align with various stakeholders.

- A collaborative, self-driven mindset with a keen attention to detail and a propensity to dig into deeper layers to inspire improvements.

Nice to Have:

- Experience with Dagster, dbt, Superset, or Trino.

- Previous experience working closely in a team with data engineers.

- Strong business acumen and an understanding of how insights convert to value and unlock new revenue.

- Excellent written and spoken English.

Tech stack:

- SQL,

- Python,

- Spark,

- Dagster,

- dbt,

- Superset,

- Trino.

Salary & Benefits:

- Gross salary: 3500 - 6800 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.

- Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.

- Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.

- Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.

Up for the challenge? Let’s talk!