Data Solutions Engineer (rola projektowa)

PwC Polska

Kraków

On-site

PLN 178,560 - 245,520

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Flexible hours
International project opportunities

Job summary

A leading consulting firm is looking for a Data Solutions Engineer to design and manage solutions within Databricks and Microsoft Fabric environments. Ideal candidates will have strong experience in Azure services and Python, alongside a consulting mindset. This role offers a hybrid work model in Kraków, promoting diverse projects and flexibility.

Qualifications

  • At least 3 years of experience as a Data Engineer.
  • Hands-on experience with Databricks, PySpark, and Python.
  • Experience with Azure services like Azure Data Factory and ADLS.

Responsibilities

  • Design, build, and manage solutions in Databricks and Microsoft Fabric.
  • Implement and maintain solutions in the Azure cloud.
  • Ensure code quality by writing tests for delivered solutions.

Skills

Databricks
PySpark
Python
SQL
Azure Data Factory
Power BI
Team player attitude
Analytical skills
Communication skills

Tools

Azure Synapse
Microsoft Fabric
ETL tools

Job description

Join to apply for the Data Solutions Engineer (freelance) role at PwC Polska

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.

Overview

We are looking for:

Data Solutions Engineer (freelance)

Your future role
  • Design, build, and manage solutions 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 or 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 (oral and written)
  • Good command of English (C1 level)
  • Minimum communicative knowledge of Polish
  • Ability to operate as a sole proprietor or business entity within Poland (project-based employment)
By joining us you gain
  • Work on diverse and intriguing projects, avoiding routine and promoting a consulting mindset
  • Hybrid work model, flexible hours, and 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. 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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Business Consulting and Services

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