Data Engineer - Working Student
Poland
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.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
As a part of our team, you will:
- Assist in the collection of data from various sources
- Support the design and implementation of ETL pipelines in ADF, SSIS
- Perform basic database operations, such as querying and updating data using SQL
- Help to clean and preprocess raw data to ensure data quality using Python
- Assist in the processing and analysis of large datasets using Spark in Databricks
- Assist in the deployment and management of cloud-based data solutions in Azure
- Help to create reports and visualizations to communicate data insights using PBI
- Assist in the documentation of data processes, pipelines, and systems
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 SQL
- Proficiency in transaction SQL and Python
- Understanding of ETL (Extract, Transform, Load) processes using PaaS like Azure Data Factory.
- First experience with big data frameworks like Spark
- Understanding of distributed computing concepts e.g Parquet files
- High 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 stakeholders
- The ability to work independently with little or no supervision
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data Databricks Data quality ETL MS SQL Oracle Parquet Pipelines Python Spark SQL SSIS
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