Data Engineer — Build Scalable Pipelines & Global Impact

Unchain Data; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Unchain Data in Warszawa is seeking a Data Engineer to design, build, and maintain data pipelines and systems, collaborating with data scientists, analysts, and stakeholders to ensure reliable data for analytics.

You will work on data ingestion, transformation, and delivery, develop data models, implement ETL, monitor data quality, and optimize storage and processing. A strong background in AWS, Redshift/Snowflake, DBT, Airflow, and Kafka is required.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, or related field.
• Minimum of 3 years of data engineering experience.
• Experience with Redshift and Snowflake, DBT, and Airflow.
• Proficiency in Python and AWS cloud services (S3/EC2/EMR).
• Familiarity with Kafka and BI/reporting tools.

Responsibilities

• Design, develop, and maintain data pipelines ingesting data from multiple sources.
• Create and optimize data models for reporting and BI needs.
• Implement ETL processes, data transformation, aggregation, and enrichment.
• Monitor data quality, governance, and validation processes.
• Manage storage, processing, and distribution systems for scalability.
• Collaborate with data scientists and analysts to meet business needs.
• Document data engineering processes and pipelines for knowledge sharing.

Skills

Python

Data pipelines

Cross-functional collaboration

Problem solving

Leadership

Education

Bachelor's or Master's in Computer Science / Data Science

Tools

Redshift

Snowflake

DBT

Apache Airflow

Kafka

AWS (S3, EC2, EMR)

Tableau

Power BI

Looker

Job description

Unchain Data in Warszawa is seeking a Data Engineer to design, build, and maintain data pipelines and systems, collaborating with data scientists, analysts, and stakeholders to ensure reliable data for analytics.

You will work on data ingestion, transformation, and delivery, develop data models, implement ETL, monitor data quality, and optimize storage and processing. A strong background in AWS, Redshift/Snowflake, DBT, Airflow, and Kafka is required.