Data Solutions Engineer (rola projektowa)

PwC Polska; Katowice; Sur place; PLN 167 400 - 223 200; Plein temps

Avantages offerts par ce poste

Hybrid work model

Flexible hours

International project opportunities

Résumé du poste

A consulting firm is looking for a Data Solutions Engineer (freelance) to design and manage solutions using Databricks and Azure. This mid-senior level role requires expertise in data engineering, with benefits including a hybrid work model and the chance to work on diverse projects. Strong communication skills and a good command of English are essential.

Qualifications

• 3 years of professional experience as a Data Engineer.
• Hands-on experience with Databricks, PySpark, and Python.
• Understanding of OLTP, OLAP, Data Lake, Data Mesh concepts.

Responsabilités

• Design and manage solutions in Databricks / Microsoft Fabric.
• Implement solutions in the Azure cloud.
• Collaborate and share knowledge with team members.

Connaissances

Databricks

PySpark

Python

SQL

Azure Data Factory

Azure Synapse

Analytical skills

Communication skills

Formation

3+ years of experience as a Data Engineer

Outils

Azure

Power BI

Description du poste

Overview

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.

We are looking for:

Data Solutions Engineer (freelance)

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

Qualifications

• 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)

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Business Consulting and Services

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