As a Data Engineer Working Student at Nokia, you'll collaborate with our dynamic data architect team to drive our digitalization strategy forward. You'll immerse yourself in complex architectural setups, gaining hands-on experience in data integration, management, and analytics. This unique role offers the chance to learn from inspiring colleagues while contributing to innovative projects that shape the future of connectivity. Join us to transform data into actionable insights and play a pivotal role in enabling seamless solutions that empower users worldwide. Your journey in the world of data starts here!

Position: Data Engineer - Working Student
Duration: 12 months with the possibility to prolong 
Location: Wrocław, Poland
Education Recommendations: Active student status in Data Science or related field

 

You have:

Active student status Good English language skills in both writing and speaking Experience with database solutions such as Oracle SQL, MS SQL, MS SSAS, Azure MS SQLProficiency in transaction SQL and PythonUnderstanding of ETL (Extract, Transform, Load) processes using PaaS like Azure Data Factory.First experience with big data frameworks like SparkUnderstanding of distributed computing concepts e.g Parquet filesHigh ethical standards and the ability to manage confidential information and projects Good interpersonal skills for working as part of a team, combined with the ability to engage with a variety of stakeholdersThe ability to work independently with little or no supervision
 

 

As a part of our team, you will:

Assist in the collection of data from various sourcesSupport the design and implementation of ETL pipelines in ADF, SSISPerform basic database operations, such as querying and updating data using SQLHelp to clean and preprocess raw data to ensure data quality using PythonAssist in the processing and analysis of large datasets using Spark in DatabricksAssist in the deployment and management of cloud-based data solutions in AzureHelp to create reports and visualizations to communicate data insights using PBIAssist in the documentation of data processes, pipelines, and systems