AI & Data Strategy Architect (GCP & BigQuery)

Vodafone Group Plc; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal allowance (Pluxee card)

Hybrid work model

Laptop

Mobile plan

7 extra vacation days

Nursery subsidy

Parental leave

Learning & growth support

Health insurance

Pension plan

Life insurance

Resumo da oferta

Vantage Towers is hiring a Data Engineer to design, build, and optimize scalable data pipelines on a cloud platform. You will focus on BigQuery-powered analytics, data ingestion, and event-driven processing, collaborating with AI stakeholders for analytics delivery.

The role requires advanced SQL, Python/Java, and experience with Pub/Sub and Kafka-based patterns, plus strong data modeling and Power BI readiness. Fluent English and a collaborative mindset are essential.

Qualificações

• Bachelor's or higher degree in a relevant field and hands-on cloud data engineering experience.
• Strong programming skills in Python/Java and SQL, with experience in BigQuery and cloud-native data platforms.

Responsabilidades

• Design, build, test, deploy, and support scalable data pipelines on a modern cloud platform.
• Develop robust BigQuery solutions and reusable components for analytics.
• Implement end-to-end data ingestion and streaming patterns using Pub/Sub and Kafka-based concepts.
• Create and maintain orchestration workflows for reliable data processing in cloud-native environments.
• Collaborate with GCP architects, analytics, and AI teams to handover analytic datasets to Power BI models.

Conhecimentos

Advanced SQL

Python/Java

BigQuery

ETL/ELT orchestration

Pub/Sub

Data modeling

Power BI

Formação académica

University degree in computer science / engineering / information systems

Ferramentas

Kafka

Descrição da oferta de emprego

Vantage Towers is hiring a Data Engineer to design, build, and optimize scalable data pipelines on a cloud platform. You will focus on BigQuery-powered analytics, data ingestion, and event-driven processing, collaborating with AI stakeholders for analytics delivery.

The role requires advanced SQL, Python/Java, and experience with Pub/Sub and Kafka-based patterns, plus strong data modeling and Power BI readiness. Fluent English and a collaborative mindset are essential.