Data Engineer - Remote-First Analytics & Pipelines

Capital; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work

Time off & leave policies

Health & pension benefits

Workation remote 30 days/year

Volunteer days

Employee referral program

Job summary

Capital is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with data scientists and analysts to ensure reliable data for decision-making and analytics.

You will optimize data storage, transformations, and governance while staying current with best practices and new technologies. The role emphasizes independence and teamwork, with opportunities to work across data ingestion, processing, and delivery, contributing to

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in data engineering or a related field.
• Proven experience with Redshift and Snowflake.
• Experience with DBT.
• Experience with Apache Airflow for workflow orchestration.
• Proficiency in Python for data pipeline development and scripting.
• Experience with AWS cloud services, including S3, EC2, and EMR.
• Familiarity with Kafka for real-time data streaming.
• Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
• Project management skills using Jira or similar tools.

Responsibilities

• Design, develop, and maintain data pipelines that ingest, process, and deliver data from various sources.
• Data Modeling: Create and maintain data models to support reporting, analytics, and BI needs.
• Implement ETL processes to transform raw data into meaningful insights.
• Monitor and address data quality issues; establish data governance practices.
• Manage and optimize data storage, processing, and distribution systems.
• Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements.
• Document data engineering processes, pipelines, and systems for team knowledge.

Skills

Python

Apache Airflow

AWS

Redshift

Snowflake

DBT

Kafka

Tableau/Power BI/Looker

Jira

Education

Bachelor’s or Master’s in CS/Data Science or related field

Tools

Apache Airflow

DBT

Kafka

Tableau/Power BI/Looker

Job description

Capital is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with data scientists and analysts to ensure reliable data for decision-making and analytics.

You will optimize data storage, transformations, and governance while staying current with best practices and new technologies. The role emphasizes independence and teamwork, with opportunities to work across data ingestion, processing, and delivery, contributing to