Data Engineer - SC Cleared
Whitehall Resources require a Data Engineer to work with a key client on a 6 month contract.
*Inside IR35.
*This role will require on site work in Telford roughly 2 times per month.
*Active SC clearance required.
Data Engineer - SC Cleared
* Experienced Data Engineer delivering large-scale, complex data solutions.
* Design and build high-performance data pipelines
* Solid understanding of data modelling and ETL.
* Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data warehouses
* Collaborate with cross-functional teams
* Excellent problem-solving and analytical skills and strong communication and teamwork skills.
Skills
* Talend ETL, Denodo, SAS, Pentaho, Oracle, Oracle RDS, SQL, Informatica
All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.
Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
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Teminiai
Data Engineer - SC Cleared
Paskelbta: 29.04.2026
Galutinė data: 13.06.2026
Informacija apie darbą
Vieta
UK__ United Kingdom
Įmonė
Whitehall Resources Ltd
Klientas / Darbdavys
Whitehall Resources Ltd
Darbo nuoroda
#2500308
Skelbimo tipas
Teminiai
Atlyginimas
Min: 0.00 Max/Salary: 0.00 GBP
Reikalingas ES darbo leidimas
Taip
Paskelbta
29.04.2026
Galutinė data
13.06.2026
Darbo aprašymas
Įgūdžiai
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