Data Platform Engineer - AWS, ELT, Real‑Time AI

SIXT; Portugal; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

The SIXT Lisbon Experience

Community & International Environment

Flexibility & Modern Work Setup

AI at your fingertips

Time Off & Wellbeing

Everyday Benefits

Employee Perks

Resumo da oferta

SIXT Lisbon is seeking a Data Engineer to help build and evolve the SIXT Data Shop and Data Platform. You will join a hands-on team of 30+ Data and BI Engineers, working across data modelling, ELT pipelines, and analytics.

You will collaborate with Data Engineers, BI Analysts, and Data Scientists to deliver dashboards, data-as-a-product, and ML endpoints, using AWS, Redshift, dbt, Airflow, and Python.

Qualificações

• : You hold a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field and bring at least 3 years of professional experience as a Data Engineer with a strong focus on data modelling.

Responsabilidades

• : You drive innovation by exploring and implementing the latest AWS and big data technologies to uncover opportunities and build integrations.
• : You collaborate with Data Engineers, BI Analysts, and Data Scientists to architect dashboards, analytics, data‑as‑a‑product, and machine learning endpoints.
• : You shape the Data Platform vision and roadmap by contributing your expertise, innovative ideas, and intellectual curiosity
• : You ensure data integrity by applying exceptional work ethics when handling sensitive customer data, maintaining the highest standards of data protection

Conhecimentos

Data modelling

ELT processes

Python

SQL

dbt

Apache Airflow

Redshift

AWS

GitHub/CI-CD

Jenkins

Formação académica

Bachelor's or Master's in Computer Science, Data Engineering, or related field

Ferramentas

dbt

Airflow

Redshift

S3

Glue

Lambda

IAM

Jenkins

GitHub

Descrição da oferta de emprego

SIXT Lisbon is seeking a Data Engineer to help build and evolve the SIXT Data Shop and Data Platform. You will join a hands-on team of 30+ Data and BI Engineers, working across data modelling, ELT pipelines, and analytics.

You will collaborate with Data Engineers, BI Analysts, and Data Scientists to deliver dashboards, data-as-a-product, and ML endpoints, using AWS, Redshift, dbt, Airflow, and Python.