Data Engineer — Remote/Hybrid, Growth & Training

CodiLime; Kraków, Wrocław, Poznań; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexible working hours

Training budget

Job summary

CodiLime in Kraków is seeking a Data Engineer who will design, build, and operate production Python data pipelines, batch and streaming, to support a centralized data platform used by consultants worldwide.

You will work with Snowflake, dbt, Apache Airflow, Spark on Databricks, and modern tooling; join a distributed team across Europe and India, with flexible, remote-friendly hours and a strong emphasis on code quality, testing, and collaboration.

Qualifications

• Hands-on experience building and operating ETL/ELT pipelines in production.
• Strong Python abilities, typing, and testing discipline.
• Proficient in Snowflake and dbt with SQL expertise.
• Experience with Airflow, Spark, Docker, Kubernetes, and CI/CD.
• Proficient in English; effective communicator in a distributed team.

Responsibilities

• Design, build, and maintain batch and streaming data pipelines in Python.
• Develop data transformation logic in SQL and dbt on Snowflake; model data for fast queries.
• Create reusable Python libraries and APIs; collaborate with engineers and analysts.
• Write tests, participate in CI, and optimize for performance and cost.
• Deploy and operate code in cloud with containers and IaC; ensure data quality.

Skills

Strong Python experience

ETL/ELT pipelines

Data engineering

Snowflake

dbt

Apache Airflow

Spark

SQL

Docker

Kubernetes

CI/CD

Git

English (C1+)

Tools

Snowflake

dbt

Airflow

Spark

PostgreSQL

Docker

Kubernetes

Git

Python

pytest

Job description

CodiLime in Kraków is seeking a Data Engineer who will design, build, and operate production Python data pipelines, batch and streaming, to support a centralized data platform used by consultants worldwide.

You will work with Snowflake, dbt, Apache Airflow, Spark on Databricks, and modern tooling; join a distributed team across Europe and India, with flexible, remote-friendly hours and a strong emphasis on code quality, testing, and collaboration.