Sr. Data Engineer; Poland

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About Craft: Craft is the leader in supplier risk intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers  unique, proprietary data platform tracks real‑time signals on millions of companies globally, delivering best‑in‑class monitoring and insight into global supply chains. Our customers include Fortune 500 companies, government agencies, SMEs, and global service platforms. Through our configurable Software‑as‑a‑Service portal, our customers can monitor any company they work with and execute critical actions in real time.

We’ve developed distribution partnerships with some of the largest integrators and software platforms globally.

We are a post‑Series B high‑growth technology company backed by top‑tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle, London, and Warsaw. We support remote and hybrid work, with team members across North America and Europe.

We’re looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team!

We’re growing quickly and looking to hire several senior‑level data engineers for multiple teams. Each team is responsible for a key product within the organization. As a core member of the team, you will have great say in how solutions are engineered and delivered. Craft gives engineers a lot of responsibility and authority, which is matched by our investment in their growth and development.

Our data engineers carry a lot of software engineering responsibilities, so we’re looking for engineers who have strong Python coding experience, Pandas expertise, and solid software engineering practices.

• Build and optimize data pipelines (batch and streaming).
• Extract, analyze, and model rich and diverse datasets of structured and unstructured data.
• Design software that is easily testable and maintainable.
• Support in setting data strategies and our vision.
• Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.
• Work on extendable data processing systems that allow adding and scaling pipelines.
• Apply machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from our data sets.
• Leverage AI‑powered development tools (e.g. Cursor) to accelerate development, refactor code, and generate code.

• 4+ years of experience in Data Engineering.
• 4+ years of experience with Python.
• Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data pipelines in a production environment.
• Fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
• Strong knowledge of SDLC and solid software engineering practices.
• Familiar with infrastructure‑as‑code approach.
• Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.
• Strong problem solving and ability to communicate ideas effectively.
• Self‑starter, independent, likes to take initiative.
• Familiarity with at least some of the technologies in our current tech stack:

• Python, PySpark, Pandas, SQL (Postgre
  
  SQL), Elastic Search, Airflow, Docker
• Databricks, AWS (S3, Batch, Athena, RDS, Dynamo
  
  DB, Glue, ECS, Amazon Neptune)
• Circle
  
  CI, Git Hub, Terraform

• Knowledge surrounding AI‑assisted coding and experience with Cursor, Co‑Pilot, or Codex.
• A strong track record of leveraging AI IDEs like Cursor to:

• Rapidly scaffold components and APIs
• Refactor legacy codebases efficiently
• Reduce context‑switching and accelerate documentation
• Experiment and prototype with near‑instant feedback.

• Option to work as a B2B contractor or full‑time employee.
• Competitive salary at a well‑funded, fast‑growing startup.
• PTO days so you can take the time you need to refresh!

• Full‑time employees: 28 PTO days allotted + paid public holidays.
• B2B contractors: 15 PTO days allotted + paid public holidays.

• 100% remote work (or hybrid if you prefer! We have…