Senior Databricks Data Engineer

ITConnect; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

ITConnect is seeking a skilled Data Engineer to join the Insights & Data team, focusing on scalable data-driven solutions across cloud environments. You will design Databricks-based processing, build Python-driven pipelines, and uphold data security and consistency in multi-cloud setups.

The role requires hands-on Databricks experience, strong Python skills, and excellent English communication to collaborate with architects and global stakeholders.

Qualifications

• Hands-on Databricks expertise and data engineering experience.
• Strong Python for automation and data transformation.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Excellent written and spoken English communication.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Collaborate with solution architects to uphold best practices in data engineering.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Python

Data engineering

English proficiency

Tools

Databricks

AWS

Azure

GCP

Job description

Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.

• Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Work closely with solution architects to define and uphold best practices in data engineering.
• Ensure data consistency, security, and scalability within cloud-based environments.
• Experience in data engineering, with hands-on Databricks expertise.
• Strong experience in Python for automation and data transformation.
• Experience working with at least one major cloud platform (AWS, Azure, or GCP).
• Strong communication skills and strong English language skills.