Expert AI & Data Strategy (m/f/d) for Vantage Towers

Vodafone Group Plc; Lisboa; Presencial; 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

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital transformation. As a leading tower company, we’re ushering in an era of technology‑driven advances to help connect people, businesses, and internet‑enabled devices like never before. We combine the scale, stability and quality of our tower network with the agility, optimism and energy of a start‑up.

As a young TowerCo, we have already achieved strong results with a continued focus on accelerating growth and a special emphasis on sustainability. As part of our team, you’ll work in a dynamic and multicultural environment that embraces open communication, collaboration and teamwork. If you’re ready to take responsibility and shape the future of telco infrastructure with us, then let’s level up in your career and reach the top, together.

Your Responsibilities

• Data Pipeline Engineering: design, build, test, deploy, and support scalable data pipelines across a modern cloud‑based data platform, with a strong emphasis on GCP‑based engineering patterns and cost‑efficient cloud service utilization.
• BigQuery Optimization: build and optimize robust data solutions around BigQuery as our core analytical data platform, developing performant transformation logic, structured datasets, and reusable engineering components.
• Ingestion & Messaging Integration: implement end‑to‑end data ingestion, integration, and event‑driven or streaming patterns utilizing cloud technologies like Pub/Sub and Kafka‑based integration concepts.
• Orchestration & Workflow Automation: develop and maintain orchestration workflows for reliable data processing in cloud‑native environments, applying sound data modeling and storage design principles for analytical consumption.
• Stakeholder & AI Enablement Collaboration: collaborate closely with GCP Architects, analytics, and AI stakeholders to prepare fit‑for‑purpose analytical datasets, ensuring effective handover into Power BI data models or future AI‑enabled use cases.
• Quality Assurance & Governance: ensure high engineering quality, traceability, and observability across the engineered data landscape through structured testing, versioning, documentation, monitoring, and production support, while guiding internal and external delivery contributors on data engineering best practices.

Your Profile

• Educational Background: University degree in computer science, engineering, information systems, data, or a related field (equivalent practical experience is also accepted).
• Professional Experience: Extensive hands‑on experience in cloud‑based data engineering with a proven track record of building, optimizing, and operating scalable data pipelines in complex, agile, and multinational environments.
• Technical Skills:
  • Required: Advanced SQL skills and strong programming capabilities (ideally Python or Java). Deep understanding of BigQuery‑centric data engineering, cloud‑native ETL/ELT orchestration, and messaging patterns (Pub/Sub). Solid comprehension of data modeling and structural preparation for downstream Power BI consumption.
  • Nice to have: Exposure to Kafka or similar event‑streaming technologies. Foundational AI literacy (classic ML and GenAI) and practical exposure to AI/GenAI use cases, including a pragmatic understanding of how AI‑assisted engineering methods can accelerate development and testing productivity.
• Soft Skills: Strong communication, problem‑solving, and ownership skills. A collaborative, customer‑centric mindset and the ability to act as a bridge between target architecture and practical engineering delivery.
• Language Proficiency: Fluent English (C1 level), both written and spoken.

What we offer – Flexibility & Growth Opportunities

• Flexible work: a hybrid working model, 2 days per week from our Lisbon office and 3 days remote.
• Top equipment: a new laptop and a mobile plan & device.
• Salary & vacation: an attractive salary package, a meal allowance delivered on a Pluxee card (10.20€/day) and 7 extra vacation days.
• Work‑life balance: nursery subsidy and parental leave support.
• Learning & growth: LinkedIn Learning, individual support for your professional and personal development, and international career opportunities.
• Health & social care: a pension plan, full health insurances (for you and co‑payment for family members) and life insurance.
• Team & culture: work in a diverse, multicultural team committed to the values of Accountability, Respect, Teamwork and Trust, and the unique opportunity to shape our organization together as OneVT.

We are committed to fostering an inclusive workplace where everyone can thrive. Applications from all individuals, regardless of background, identity, or ability are more than welcome. If you require any reasonable adjustments during the recruitment process, please contact us so we can support you.