Data Engineer with Databricks

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

Job summary

ITConnect Sp. z o.o. is seeking a Data Engineer in Poland to join the Risk Technology team.

You will design, build, and support enterprise data solutions using Databricks, PySpark, and SQL, delivering scalable data platforms and analytics capabilities that empower business users. You will collaborate with analysts and developers, optimise data quality and performance, support cloud data architectures (Azure Data Lake/Factory), and mentor junior engineers while promoting engineering best

Qualifications

• Design and build data pipelines using Databricks, PySpark and SQL.
• Develop and maintain data models, ETL/ELT processes, and reporting datasets.

Responsibilities

• Design and build data pipelines and data models for enterprise analytics.
• Optimise data quality, performance and scalability across the platform.

Skills

Databricks

PySpark

SQL

Data Warehousing

Azure Data Lake

Azure Data Factory

CI/CD

Agile

Cloud Data Architecture

Performance Optimisation

Tools

Databricks

PySpark

Job description

Join the Risk Technology team to design, develop, and support enterprise data solutions using Databricks, delivering scalable, high-quality data platforms and analytics capabilities.

• Design and build data pipelines using Databricks, PySpark, and SQL.
• Develop and maintain data models, ETL processes, and reporting datasets.
• Optimise data quality, performance, and scalability across the platform.
• Collaborate with business users, analysts, and developers to deliver data-driven solutions.
• Support cloud-based data architecture, CI/CD, and data governance initiatives.
• Mentor junior engineers and promote engineering best practices.
• Strong experience with Databricks and PySpark.
• Advanced SQL and data warehousing expertise.
• Experience with Azure Data Lake, Azure Data Factory, or similar cloud data technologies.
• Knowledge of data modelling, ETL/ELT, and performance optimisation.
• Experience working in Agile delivery teams.