Senior Data Engineer — Remote AWS Data Pipelines & Analytics

Volkswagen Group Digital Solutions [Portugal]; Lisboa; Híbrido; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

1200€ to equip home office

Flex allowance: 720€/year

Performance bonus

Health insurance extendable to household

Well-being program

Life insurance

Pension fund

Smartphone & phone data plan

Discounts on VW Group cars

Resumo da oferta

A global automotive leader in Lisbon is seeking a Data Engineer to create and manage data pipeline architecture on AWS. Candidates should have a Bachelor's degree in Computer Science or equivalent, and at least 5 years of experience in data engineering or software development, preferably in the automotive sector. Key responsibilities include implementing data infrastructure, assembling complex data sets, and ensuring optimal data flow. The role offers flexible working hours and various benefits including health insurance and performance bonuses.

Qualificações

• Minimum 5 years of experience as a data engineer or software developer.
• Experience in the automotive sector is preferred.
• Strong experience with cloud data solutions required.

Responsabilidades

• Create and manage data pipeline architecture for data ingestion.
• Assemble large, complex data sets for business requirements.
• Implement infrastructure for data extraction and transformation.

Conhecimentos

Data Lake

Data Warehouse

RDS architectures

Python

SQL

PySpark

AWS services

ETL

OOP languages

Communication skills

Analytical skills

English proficiency

Formação académica

Bachelor's degree in computer science or related field

Descrição da oferta de emprego

A global automotive leader in Lisbon is seeking a Data Engineer to create and manage data pipeline architecture on AWS. Candidates should have a Bachelor's degree in Computer Science or equivalent, and at least 5 years of experience in data engineering or software development, preferably in the automotive sector. Key responsibilities include implementing data infrastructure, assembling complex data sets, and ensuring optimal data flow. The role offers flexible working hours and various benefits including health insurance and performance bonuses.