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EY

Data Technology Consulting Team - Multiple Opportunities - Katowice

EY
Polandfull_timeVerifiedPosted 28 May 2025

About the role

Data Technology Consulting Team - Multiple Opportunities - Katowice

 

Location: Wrocław / Katowice - remote
Hybrid model: 2 days office/3 days remote

 

Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY. 
 

The opportunity

 

We are looking for a top-notch technology savvy specialists willing to move our projects on the new track! You will use the most advanced technology stack and have an opportunity to develop and implement new solutions while working  with top leaders in their industries. As a part of our global team you will participate in international projects.  

 

Right now, we are looking for multiple roles to join Data team within EY GDS Technology Consulting:

 

Data Visualization

 

Data Visualization specialist utilize various tools to provide a holistic view of key business areas. The presentation of data is graphical in nature, using charts, gauges and plots.  Reports and analytical tools that Data Visualization specialist develop require creating complex queries with multiple joins and aggregations as well as data pre-processing. 

  • Hands-on experience with wide array of database and warehouse systems (MS SQL, Postgres, Oracle) 
  • Design and data modeling skills  
  • Knowledge of modern data integration tools such as Azure DataFactory, Informatica, Talend 
  • Ability to present data in a visual manner utilizing BI Tools such as PowerBI, Tableau, Qlikview, SAP Business Objects 
  • Experience in writing complex SQL (T-SQL/PL/SQL) code. 

 

Big Data Engineers, Architects

 

Big data specialists help to tame data at scale with a wide range of technologies. They understand distributed processing, "leaky" abstractions, and can develop complex jobs, integrate and troubleshoot all other needed components.  

  • Experience with distributed data processing software (Hadoop, Spark, Hive, MPP) along with data processing algorithms (MapReduce) 
  • Experience in writing software in one or more languages Python (PySpark), R, Scala, Java, SQL 
  • Experience in data mining, info retrieval and machine learning concepts. 
  • Ability to orchestrate, monitor and troubleshoot distributed pipelines. 
  • Knowledge and hands-on experience with a wide variety of data sources and sinks (RDBMs, NoSQL, timeseries, APIs, data lakes, DWH, message queues/service buses)  

 

Data Scientists, Data Governance

 

AI/ML specialist are interdisciplinary professionals that combine both computer science, maths/statistics and domain knowledge. 

  • Experience in writing software in one or more languages Python (PySpark), R, SQL and familiarized with common frameworks like Tensorflow, PyTorch Scikit-Learn. 
  • Being familiar with Natural Language Processing in any form.
  • Ability to implement state-of-the-art models and understand a coherent end-to-end approach for testing and delivery. 
  • Proficiency in swift implementation of existing best practices while maintaining good software design.  
  • Knowledge of modern AI platforms (SageMaker, AzureML, MLFlow, Kubeflow)ate processes or monetize underlying data.  

 

Cloud Data Engineers, Architects

 

Data architects design, deploy and manage the company's data architecture. They focus and ensure that every "data consumer" has proper access to data at the right time and place. They understand the end-to-end data lifecycle process from "creation" to "serving" and "monetization" 

  • Comprehensive understanding of technologies from traditional (RDBMs) to modern distributed systems 
  • Ability to choose the right tool for the right job and familiarity with vast landscape (data warehouse, big data, modern cluster managers and cloud technologies). 
  • Experience in leading multi-disciplinary teams ranging from data engineers, data scientists and visualization experts 
  • Knowledge of a secure data management and governance techniques.  

 

What we offer

 

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across ten locations –  Argentina, Ch

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