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

Vodafone -
Lisboa

Candidate-se agora

Detalhes da oferta

Período Integral

Qualificações

Graduação

Descrição completa da oferta

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 put 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: You 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: You 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: You 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: You 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: You 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: You 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. You possess 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.

At Vantage Towers we operate in 8 different European countries. This role will be based in Lisbon.

What we offer – Flexibility & Growth Opportunities:

Flexible work: we offer a hybrid working model, which allows you to work 2 days per week from our Lisbon office and 3 days remote.
Top Equipment: you receive a new laptop as well as a mobile plan & device
Salary & Vacation: you will receive an attractive salary package. Additionally, you can profit from a meal allowance delivered on a Pluxee card (10.20€/day) and 7 extra vacation days
Work-Life-Balance: we offer nursery subsidy and parental leave support
Learning & Growth: LinkedIn Learning, individual support for your professional and personal development as well as international career opportunities
Health & Social Care: profit from a Pension plan, full health insurances (for you and co-payment for family members) and life insurance
Team & Culture: work in a diverse, multiculture team which is committed to the values: Accountability, Respect, Teamwork and Trust. We offer the unique opportunity to shape our organization – together as OneVT.

Are you ready to create the future of digital telco infrastructure together with us? Then we are happy to receive your CV.

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.

Not the right match? We have plenty of other opportunities to choose from here.

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bi developer vagas para: barcarena

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

Global Risk Manager – Governance and Team Operations

Data Architect – Sustainability Solutions (m/f/d)

Planning & Scheduling Engineer (m/f/d)

L3 Windows Infrastructure Support Engineer

BI & Reporting Analyst

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Senior Power BI Specialist

Finance and Business Operations Support (Maternity Leave Cover)

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

Business Intelligence Trainee

Equipment Delivery Project Engineer (x2)

Business Intelligence Consultant (Power BI)

Demand planner International

Data Engineer

Analista OP Registro Contable a Reporting

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