Pagrindinis
Data Engineer
Paskelbta: 18.05.2026
Galutinė data: 02.07.2026
Darbo nuoroda: 686c93e0f725dc5cc9dbcfdd7a83a32d
Informacija apie darbą
Vieta
Geneva, Switzerland
Įmonė
TN Switzerland
Klientas / Darbdavys
Business & Decision
Darbo nuoroda
686c93e0f725dc5cc9dbcfdd7a83a32d
Skelbimo tipas
Pagrindinis
Reikalingas ES darbo leidimas
Ne
Paskelbta
18.05.2026
Galutinė data
02.07.2026
Darbo aprašymas
Business et Decision, an Orange Business Services affiliate since 2018, is looking for consultants to reinforce its Data engineering & Architecture Team. Are you passionate about development? Do you have a strong interest in data, clean code, unit testing, continuous development using the latest technologies related to Cloud solutions? If you are eager to master the storage, organization and exploitation of PBs (petabytes) of data, you should probably keep on reading! Poste et missions As a Data engineer, you will take part in the B&D’s Data engineering & Architecture team. Your strong development skills will allow you to work on data pipeline implementation, storage, data crunching and manipulation. You manipulate, transform our customers' data to extract all the benefits out of it. You build systems that automate these manipulations and enable the data to be explored and given a meaning. You will make our customers more efficient, optimize their efforts and lower their costs. You will analyze data by sourcing, capturing, transformation and preparation techniques. You will work with the latest technologies such as Kafka, Spark, DBT, Snowflake, BigQuery, Synapse, Databricks, Airflow, Elastic search… and possibly become a Data architect! Profil Master’s degree in Computer Science, Engineering or any related field 5+ years hands on experience in Data Engineering Excellent Knowledge of BI processes and solutions: ETL and data feeding, data storage and data warehouse, reporting and AGILE BI tools Capacity to understand functional needs, analyze and translate them into data warehouse techniques Excellent knowledge of databases, SQL and Transact-SQL Strong interest in data manipulation (storage, crunching, pipeline implementation) Knowledge of continuous developments / deployment concepts & technologies (GIT, Azure Devops, Gitlab, CircleCI, ...) Knowledge of Semarchy General knowledge of BI technologies on the market Good communication skills Team Player Conceptual and creative thinking Fluency in French and English (verbal & written) DÉPOSER UNE CANDIDATURE À L'OFFRE : DATA ENGINEER Data Engineer Geneva
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