We’re looking for a highly skilled and independent Senior Big Data Engineer to lead the design and development of scalable, distributed ML training pipelines and infrastructure. This is a hands-on role with real impact on the product - from architecture decisions to production performance  in a real-time AdTech environment processing billions of data points daily.

We’re looking for someone proactive, who thrives in ownership-driven environments and is excited to shape the future of our ML systems.

What you’ll do:

Design and implement distributed ML training pipelines

Build infrastructure for data ingestion, preprocessing, and model evaluation

Collaborate with Data Scientists, Engineers, and Product teams

Own the full ML lifecycle: tooling, monitoring, automation, and optimization

Stay up to date with best practices in MLOps and distributed systems

What we’re looking for:

5+ years in backend or ML engineering

Strong Python skills and experience with frameworks like Spark (PySpark/Scala), Dask, etc.

Experience designing scalable ML infrastructure

Solid understanding of ML workflows and lifecycle

Familiarity with cloud (AWS, GCP, OCI) and containerized deployments (Kubernetes)

Experience with SQL and NoSQL/in-memory databases (e.g., Redis, Bigtable, Aerospike)

Proactive mindset, clean code, and strong communication skills

We offer:

B2B contract with 20 paid days off

Flexible hybrid work model from Warsaw (negotiable!)

Opportunity to work with cutting-edge technologies in a high-scale environment

High level of autonomy and real influence on the product

Let’s build something big together - apply now!