Base
Lead Data Engineer with Azure knowledge
Pubblicato: 18.05.2026
Data di chiusura: 02.07.2026
Referenze lavorative: 6310ff08c3512d05e7617f888a2e40f7
Informazioni sul lavoro
Posizione
Geneva, Switzerland
Azienda
TN Switzerland
Cliente / Datore di lavoro
Epam
Referenze lavorative
6310ff08c3512d05e7617f888a2e40f7
Tipo di elenco
Base
Permesso di lavoro UE richiesto
No
Pubblicato
18.05.2026
Data di chiusura
02.07.2026
Descrizione del lavoro
Description ABOUT THE ROLE Do you know how to turn raw data into meaningful insights that drive business value? Are you passionate about promoting the power of data-driven decision making? If so, we have a great opportunity for you to join our team in Geneva as a Lead Data Engineer and work closely with one of our clients, a Swiss-based bank currently embarking on a comprehensive cloud migration program. The role requires a mix of remote and on-site work in a hybrid model. As an integral part of this team, you will be instrumental in guiding the client's Data team in making informed decisions on optimal Azure services for migrating their databases, data warehouses, and the likes. Embrace this thrilling opportunity and shape the future of quality engineering with EPAM. Responsibilities Work with client and EPAM team to design and implement modern, scalable data solutions using a range of new and emerging technologies from Azure Turn the requirements into technical data solutions Build and deliver Data solutions using Azure products Work with agile and DevOps techniques and implementation approaches all along the project Requirements Strong experience with Azure Data Factory Azure Storage/ Data Lake knowledge Experience in ETL, Analytics and Report development Knowledge of relational database and SQL language Solid understanding of software development lifecycle Excellent analytical and problem-solving skills Proactive, reliable, self-starter, able to work both autonomously and in a team Fluent English and French skills are needed Our Benefits Include EPAM Employee Stock Purchase Plan (ESPP) Enhanced parental leave Extended pension plan Daily sickness allowance insurance Employee assistance program Referral program Hybrid working opportunities Global business travel medical and accident insurance Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more EPAM Switzerland was named a Top Company , & by Kununu for its people centric culture built on life-long learning Certain benefits and perks may be subject to eligibility requirements About EPAM EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential Additional Please note that any offers will be subject to appropriate background checks We do not accept CVs from recruiting or staffing agencies For this position, we are able to consider applications from the following: Swiss nationals EU/EFTA nationals Third-country nationals based in Switzerland with an appropriate work permit Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits
Abilità
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