Data Solutions Engineer (freelance)

PwC • Poznan, OH

69d • Hybrid

About The Position

We help our Clients define their transformation journey enabled by the latest technology - generating insights to illuminate innovative ideas, creating valuable experiences for customers, achieving huge cost savings or embracing new collaborative mindsets. We are looking for a Data Solutions Engineer (freelance).

Requirements

• At least 3 years of professional experience as a Data Engineer
• At least 2 years of hands-on experience with Databricks, PySpark, and Python for data engineering (e.g: usage of Pandas, SQL Alchemy)
• Hands-on experience with MS Fabric or Azure Synapse
• Strong knowledge of Python software engineering (e.g: usage of FastAPI / Django and similar)
• Strong knowledge of SQL
• Experience with Azure services like: Azure Data Factory, ADLS, Azure SQL Server, Key Vault
• Understanding of OLTP, OLAP, Data Lake, Data Lakehouse, Data Mesh, and Data Fabric concepts
• Familiarity with at least one ETL tool (e.g., ADF, Informatica, Talend, AWS Glue)
• Experience with BI tools (Power BI, Tableau)
• Practical knowledge of software testing
• Team player attitude, preferably with experience in an international environment
• Strong analytical skills
• Very good communication skills (both oral and written communication)
• Good command of English (C1 level)
• Minimum communicative knowledge of Polish
• The ability to operate as a sole proprietor or business entity within Poland (due to the project-based nature of the employment).

Responsibilities

• Design, build, and manage solution in Databricks / Microsoft Fabric environments
• Implement and maintain solutions in the Azure cloud, with a focus on tools such as Azure Databricks, Azure Data Factory, Azure Synapse, and Microsoft Fabric
• Leverage PySpark and develop data workflows
• Leverage Python to develop code used for data engineering purposes
• Ensure the quality of the code by writing unit / integration tests for delivered solutions
• Collaborate with the team and share knowledge with less experienced colleagues
• Adhere to the company's Delivery Excellence framework, contribute to ways of working and internal delivery guidelines.

Benefits

• Work on diverse and intriguing projects, avoiding routine and promoting a consulting mindset
• Benefit from a hybrid work model, flexible hours, and the possibility of occasional remote work
• Opportunities to engage in international projects and occasional business trips.

What This Job Offers

• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees