Level

PwC

Data Solutions Engineer (rola projektowa)

AI in this role

databricks

Job Description & Summary

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:   
Data Solutions Engineer (rola projektowa) 


Your future role:  

  • 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.


Apply if you have:  

  • 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,
  • You demonstrate knowledge of new technologies and AI-based tools in your daily work (e.g., task automation, information analysis, content creation),
  • The ability to operate as a sole proprietor or business entity within Poland (due to the project-based nature of the employment).

 
By joining us you gain:   

  • 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.


Recruitment process:   

  • Submit your resume,   
  • Have a short phone conversation with our Recruiter,   
  • Let's get to know each other better during the interview! 


Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.  

#LI-KK1

How we score this

Data Solutions Engineer (rola projektowa) at PwC scores 26 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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