Perus
Data Engineer with Snowflake
Julkaistu: 18.05.2026
Sulkemispäivä: 02.07.2026
Työpaikkaviite: 0c784265535c20b82f38426f022bbb73
Työpaikkatiedot
Sijainti
Timi?oara, Timi?Oara, ROM, Romania
Yhtiö
Xerox
Asiakas / Työnantaja
IBM
Työpaikkaviite
0c784265535c20b82f38426f022bbb73
Listaustyyppi
Perus
EU-työlupa vaaditaan
Ei
Julkaistu
18.05.2026
Sulkemispäivä
02.07.2026
Työkuvaus
**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk. **Your role and responsibilities** You will work as a Data Engineer within Data Platforms, focusing on Snowflake-based data hubs and integrations with single source of truth systems. You will support regulatory‑driven data pipelines, particularly around BCBS 239 compliance, while working across SAP, DB2, Azure, and reporting platforms. You will design, build, and optimize data ingestion, transformation, and integration processes, ensuring accuracy, consistency, and auditability. You will collaborate with cross-functional teams to enable reliable data flows for analytics, reporting, and regulatory needs. **Required technical and professional expertise** * Strong experience with Snowflake and enterprise data hub architectures * Knowledge of SAP data integration, particularly with financial data systems * Experience working with Azure platforms in hybrid or on‑prem environments * Experience in data modeling and ETL/ELT best practices **Preferred technical and professional experience** * Hands-on experience with PySpark or Python * DB2 platform, Cognos, PowerBI * Understanding of regulatory reporting requirements * Background in building interfaces to single point‑of‑truth systems 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.
Taidot
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