Job Description

Type of contract: B2B contract

Salary range: 125-160 PLN/H

What will you do?

You will work on designing, building and optimizing scalable data solutions in a cloud environment, focusing on creating efficient ETL pipelines and data models that support business needs. The role involves close collaboration with both technical and business stakeholders to translate requirements into reliable data products, while continuously improving performance, data quality and development standards across the platform.

Your tasks

• Your responsibilities will include performance tuning and optimization of existing solutions, building and maintaining ETL pipelines, as well as testing and documenting current data flows.
• You will also be involved in implementing tools and processes to support data-related projects and promoting the best development standards across the team.
• Design, build, test and deploy Cloud and on-premise data models and transformations in Cloud Native or dedicated toolset.
• Optimize data views for specific visualization use cases making use of schema design partitions, indexes, down-sampling, archiving, etc. to manage trade-offs such as performance and flexibility.
• Review and refine, interpret and implement business and technical requirements.
• Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira.
• Onboarding new data sources, design, build, test and deploy Cloud data ingest, pipelines, warehouse and data models/products.

Requirements

• At least 4-5 years of commercial experience as a Data Engineer.
• Strong Python and PySpark skills.
• Experience with GCP Cloud toolset.
• Strong hands-on experience with SQL and query optimization.
• Experience with ETL/ELT pipelines development, testing,and management.
• Strong experience with Hadoop.
• Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses.
• Openness to work 2 days a week from our client's offive (Kraków).

Nice to have

• Experience with Java/Scala.