Základné
IBM internship ETL Data Engineer with SQL
Zverejnené: 23.05.2026
Termín uzávierky: 07.07.2026
Referencie na pracovnú pozíciu: fc0e0e4695e913a8c92571f4cd9dd26c
Informácie o pracovnej pozícii
Poloha
Bucharest, Bucharest, ROM, Romania
Spoločnosť
Xerox
Klient / Zamestnávateľ
IBM
Referencie na pracovnú pozíciu
fc0e0e4695e913a8c92571f4cd9dd26c
Typ zápisu
Základné
Vyžaduje sa pracovné povolenie EÚ
Nie
Zverejnené
23.05.2026
Termín uzávierky
07.07.2026
Popis práce
**Introduction** A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. **Your role and responsibilities** The internship program is offered for a fixed period of 3 months, with the possibility of extending the collaboration based on performance and business needs. During the recruitment process, you may receive a call from our colleagues on the international team (from a Hungarian or Slovak number). Please answer, as the call is related to your application. ETL Development & Data Integration: Support the design, development, and maintenance of data integration workflows using ETL (Extract, Transform, Load) tools and methodologies. Assist in the migration of ETL processes from on-premise infrastructure to cloud-based platforms. * Data Quality Assurance: Contribute to data cleansing, validation, and verification activities to ensure data accuracy and integrity. Participate in testing workflows post-migration to confirm successful deployment. * Cross-Functional Collaboration: Work collaboratively with various teams across the organization to support data-related initiatives. * Process Documentation: Help document data integration processes, logic, test outcomes, and improvement suggestions to ensure knowledge sharing and process transparency. **Required technical and professional expertise** * Currently pursuing or recently completed a degree in Computer Science or a related field. * Solid understanding of SQL and Python - strong analytical and algorithmic thinking is highly valued. * Familiarity with database structures and design principles. * Eagerness to learn and grow within the field of data engineering and data integration. * Basic understanding of data modeling concepts such as normalization. * Strong problem-solving skills, attention to detail, and enthusiasm for working with data. **Preferred technical and professional experience** * Snowflake SQL * Experience with AWS Cloud * Fluent English, nice to have: French, German IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Zručnosti
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases