Senior Data Engineer

Auxo Talent; Województwo mazowieckie; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

Auxo Talent is looking for a Senior Data Engineer to join their team on a 12-month contract in Warsaw. The role is hybrid, based in Warsaw, Poland, and focuses on building scalable data pipelines, production Python tooling, and data platform orchestration.

Ideal candidates will ship production-grade Python, design robust ETL/ELT processes, and work with cloud data platforms and modern data tooling. Familiarity with testing, CI/CD, and orchestration frameworks is highly desirable.

Qualifications

• Shipping production-grade Python code, not mere scripts or notebooks.
• Building and operating ETL/ELT pipelines at scale.
• Experience with cloud data platforms and data tooling.
• Familiarity with schema design and validation practices.
• Knowledge of workflow orchestration in code and testing tooling.

Skills

Python

ETL/ELT pipelines

Python tooling

Schema design

Databases

Tools

Pandas

Polars

PyArrow

DuckDB

PySpark

Pydantic

Airflow

Dagster

Prefect

dbt

Temporal

PyTest

Poetry

Pip-tools

Conda

AWS

Azure

GCP

Snowflake

Databricks

BigQuery

Redshift

Docker

Kubernetes

Terraform

GitHub Actions

Kafka

Kinesis

Spark Structured Streaming

Go

Rust

Scala

TypeScript

Job description

Our client currently seeks a Senior Data Engineer to join their dynamic team on an initial 12 month contract. This role is Hybrid and based in Warsaw.

EXPERIENCE

• - Shipping production Python, not just scripts or notebooks.
• - Building and operating ETL/ELT pipelines at scale.
• - Python data tooling: pandas, Polars, PyArrow, DuckDB, or PySpark.
• - Schema enforcement and validation: Pydantic or similar.
• - Workflow orchestration in code: Airflow, Dagster, Prefect, dbt, or Temporal.
• - Testing and quality tooling: pytest, pyright, ty, pyrefly, ruff or black.
• - Dependency and environment management: uv, Poetry, pip-tools, or conda.
• - At least one public cloud (AWS, Azure, or GCP) and its Python SDK, with familiarity with the others.
• - Cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
• - Relational and non-relational databases, including schema design.

Preferred

• - Python web/API frameworks (FastAPI, Flask).
• - Async Python, multiprocessing, or other concurrency patterns.
• - Streaming: Kafka, Kinesis, or Spark Structured Streaming.
• - Infrastructure as code and automation (Terraform, GitHub Actions).
• - Docker and Kubernetes.
• - A second language: Go, Rust, Scala, or TypeScript.
• - Generative AI, machine learning, or data science tooling.