Senior Databricks ETL Engineer — Remote, Warsaw visits

eConsulting; Warszawa; Remote; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical care

Sports card

Group insurance

English lessons

Training library

Sports activities

Team events

Job summary

eConsulting is seeking an independent ETL Developer with strong Databricks expertise to design, build, and optimize scalable data pipelines. You will own projects end-to-end and collaborate across teams with minimal supervision.

Ideal candidates have 3+ years in data engineering or ETL development, hands-on Databricks experience, and familiarity with Data Lake / Lakehouse architectures. This role offers mostly remote work with occasional visits to Warsaw.

Qualifications

• 3+ years (Regular) / 5+ years (Senior) experience in data engineering or ETL development.
• Hands-on Databricks experience (PySpark, Spark SQL).
• Experience with cloud platforms (Azure preferred, AWS/GCP acceptable).
• Knowledge of Data Lake / Lakehouse architecture.
• Strong problem-solving skills and ability to work independently.
• Version control experience (Git).

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks (PySpark, Spark SQL).
• Integrate and transform data from databases, APIs, flat files, streaming.
• Optimize data pipelines for performance, scalability, and reliability.
• Manage and structure data in Data Lake / Lakehouse environments (Bronze/Silver/Gold).
• Implement data quality checks, validation frameworks, and ensure consistent data delivery.
• Translate business requirements into technical solutions and propose architecture improvements.
• Monitor, troubleshoot, and maintain ETL jobs, ensuring smooth operation and minimal downtime.

Skills

Databricks PySpark

Spark SQL

ETL/ELT development

Azure

AWS/GCP

Data Lake / Lakehouse

Git

Independent work

Job description

eConsulting is seeking an independent ETL Developer with strong Databricks expertise to design, build, and optimize scalable data pipelines. You will own projects end-to-end and collaborate across teams with minimal supervision.

Ideal candidates have 3+ years in data engineering or ETL development, hands-on Databricks experience, and familiarity with Data Lake / Lakehouse architectures. This role offers mostly remote work with occasional visits to Warsaw.