Senior Data Engineer: Scale Data Platform with Python

CodiLime; Polska; Hybrid; PLN 150,000 - 240,000; Full time

Benefits offered by this job

Flexible hours

Remote/hybrid work

Training budget

Hands-on onboarding

Collaborative environment

Project variety

Job summary

CodiLime is seeking a data engineer to join the team behind a large-scale data platform. You will design, code, test, and operate production Python systems—pipelines, libraries, and services—that move and transform data at scale.

You will work with Snowflake, dbt, Airflow, and Spark on Azure Databricks, building reliable, maintainable software powering enterprise datasets. This role offers remote/hybrid options and opportunities to grow within a collaborative Europe-India distributed team.

Qualifications

• Proven experience building scalable data pipelines.
• Strong Python and SQL proficiency.
• Experience with cloud data platforms and data modeling.

Responsibilities

• Design, code, test, and operate production Python data pipelines and services.
• Collaborate with Data Architecture Lead and engineers to maintain data quality.
• Build reliable, maintainable software powering a global data platform.

Skills

Python

SQL

Data engineering

ETL pipelines

Tools

Snowflake

dbt

Airflow

Kubernetes

Azure Databricks

Pandas

Polars

PostgreSQL

Redis

FastAPI

Job description

CodiLime is seeking a data engineer to join the team behind a large-scale data platform. You will design, code, test, and operate production Python systems—pipelines, libraries, and services—that move and transform data at scale.

You will work with Snowflake, dbt, Airflow, and Spark on Azure Databricks, building reliable, maintainable software powering enterprise datasets. This role offers remote/hybrid options and opportunities to grow within a collaborative Europe-India distributed team.