Type of contract: B2B contract 

Salary range: 200-265 PLN/H

What will you do?

Join a team focused on designing and delivering modern data platforms and architectures that support advanced analytics, reporting, and data-driven decision-making. You will work closely with business stakeholders and engineering teams to define data strategies, shape architectural solutions, and ensure high standards of data quality, scalability, and performance across cloud-based environments.

Your tasks

• Design and develope data pipelines in both batch and streaming models
• Design and implement data processing frameworks, templates, and solutions
• Collaborate closely with business stakeholders and engineering teams
• Review, refine, and translate business requirements into architectural decisions
• Drive data quality, metadata management, and governance best practices
• Participating in the migration of solutions from on-premise environments to Google Cloud
• Data modeling and collaboration with data architects
• Automating data processing workflows and implementing DataOps best practices
• Optimizing the performance and costs of solutions running in cloud environments 

Your skills

• At least 8 years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect
• Strong expertise in SQL
• Strong expertise in Python
• Strong expertise in Spark or PySpark
• Experience in data architecture, data quality, metadata management, analytics, and reporting
• Strong experience with cloud data engineering tools within GCP
• Kowledge of BigQuery and designing analytical and data warehousing solutions
• Experience with Apache Beam and Dataflow (batch and streaming)

Nice to have

• Experience with BI tools such as Power BI, Qlik, or Apache Superset
• Experience in consulting environments
• Experience in Data Science