Data Engineer (Databricks)

TL;DR

Data Engineer (Databricks): Building and optimizing scalable ETL/ELT pipelines and cloud-based data platforms within an Azure environment with an accent on data processing workflows and system reliability. Focus on developing high-performance transformations using PySpark and collaborating with clients to deliver technical solutions.

Location: Fully Remote (Bratislava). Requires native-level proficiency in Czech or Slovak.

Salary: from €3,800 gross

Company

Global software development company with over 6,000 specialists providing tech advisory, enterprise solutions, and product development.

What you will do

• Design, develop, and maintain ETL/ELT data pipelines using Databricks.
• Build and optimize data processing solutions in an Azure environment.
• Develop and optimize data transformations utilizing PySpark.
• Collaborate directly with clients to gather technical requirements and deliver solutions.
• Ensure data quality, reliability, and performance across all data pipelines.
• Troubleshoot and resolve complex data-related issues.

Requirements

• 3+ years of experience as a Data Engineer.
• Strong expertise in Databricks, specifically Azure Databricks.
• Proficiency in Python and SQL.
• Hands-on experience with PySpark and ETL/ELT pipeline development.
• Native-level proficiency in Czech or Slovak.
• Strong English communication skills.

Nice to have

• Databricks certification.
• Experience with Azure Data Factory (ADF).
• Experience working with Jupyter Notebooks.

Culture & Benefits

• Life insurance and pension contributions.
• Language lessons (EN/DE/ES) and MultiSport card.
• Meal allowance and paid sick days.
• Hybrid remote work options and modern offices in Bratislava.
• Wide range of internal and external training courses for professional growth.

Hiring process

• Application review and Talent Acquisition interview.
• Technical interview focusing on expertise and problem-solving.
• Potential customer interview for final alignment.
• Job offer.