Data Engineer with Dataiku — AI‑Driven Data Pipelines

We Are META; Lisboa; Híbrido; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Welcome kit

Opportunities for career progression

Health insurance

Coverflex meal card

Special discounts

Resumo da oferta

We Are META, based in Lisbon, is seeking a skilled Data Engineer to join our innovative team where you will enhance your network across diverse tech sectors. This role focuses on data engineering involving tools like DBT, SQL, and cloud platforms (AWS, Azure, GCP).

Ideal candidates will have 3-4 years of experience in data engineering, strong SQL skills, and familiarity with tools such as Dataiku and Power BI. A hybrid working model is available, making this a great opportunity for professionals looking to balance work and life.

Qualificações

• 3-4 years of experience in Data Engineering or related role.
• Hands‑on experience with DBT Core, including CLI‑based development.
• Experience building and maintaining data pipelines.
• Strong SQL skills and experience with analytics databases.
• Intermediate knowledge of data modeling concepts.
• Familiarity with Git‑based workflows.
• Understanding of CI/CD concepts for data pipelines.
• Experience with Python for data tasks.
• Exposure to AWS, Azure, GCP is a nice to have.
• Hands‑on experience with Dataiku is a nice to have.
• Hands‑on experience with PowerBI is a nice to have.
• Experience with machine learning models in Dataiku is a nice to have.
• Exposure to Generative AI or LLM use cases is a nice to have.
• Fluency in English (B2 Level or above) is required.
• Availability for hybrid regime in Lisbon.

Conhecimentos

Data Engineering

SQL

DBT

Python

AWS

Azure

GCP

Power BI

Git

CI/CD

Dataiku

Generative AI

Fluency in English

Descrição da oferta de emprego

We Are META, based in Lisbon, is seeking a skilled Data Engineer to join our innovative team where you will enhance your network across diverse tech sectors. This role focuses on data engineering involving tools like DBT, SQL, and cloud platforms (AWS, Azure, GCP).

Ideal candidates will have 3-4 years of experience in data engineering, strong SQL skills, and familiarity with tools such as Dataiku and Power BI. A hybrid working model is available, making this a great opportunity for professionals looking to balance work and life.