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Commerzbank AG's TalentBank internship within the Digital Technology Centre in Poland invites students and graduates to join as a Data Engineer Intern in Łódź. You’ll work in the Big Data Cluster, building data pipelines and supporting data platforms in cloud/on-prem environments.
You’ll learn end-to-end software development, collaborate in Agile projects, and benefit from mentorship, flexible hours, and access to learning platforms while starting your IT/corporate career.
TalentBank is an original internship program of the Digital Technology Centre in Poland, which aims to enable students and graduates to gain professional experience in IT and banking industry. The project can be attended by people who are students or graduates (up to 12 months after graduation). We look for students after second year of technical, mathematical, business, finance, economic or related studies.
Join our team as a Data Engineer Intern!
In your role as a Data Engineer you will be working in the Big Data Cluster, which is the enabler for data scientists and provides a huge collection of data and a data science workbench in one place.
On a daily basis you will develop products based on database technology which are running in the On‑Premise or Cloud. Your responsibilities will encompass the full Software Development Lifecycle including analysis, architecture, testing and also supporting during production issues during normal working hours.
How? Hybrid on Wersalska 6 (Łódź)
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Below you can find more information about Commerzbank and the cluster
Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so we are. We are leaving the traditional bank behind us and are choosing to move forward as a digital enterprise. This is exactly why we need talented people who will join us on this journey. We work in inter-locational and international teamwork in agile methodologies.
The Big Data cluster is the enabler for data scientists and provides a huge collection of data and a data science workbench in one place.
BI technology within the lake infrastructure
Establish a stable, state‑of‑the‑art technology base with on‑prem and cloud solutions
Set up data lake as single data and analytics hub and effectively ingest most important data sources
Establish data quality and metadata management
Provide Data Marts and sandboxes for segments and functions with the most important combination of data sources
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