Global IT Corporate Applications Big Data Engineer

At Avolta (SIX: AVOL), our people are at the driving force behind our success. With a team of over 76,000 individuals representing more than 150 nationalities, we are a truly global company driven by passion, innovation, and excellence.

Born from the combination of Dufry and Autogrill, Avolta is redefining the travel experience through the dedication and expertise of our diverse workforce. Across 73 countries and 1,000 locations, our teams bring energy, creativity, and commitment to delivering world-class travel retail and food & beverage experiences.

We operate across multiple channels - including airports, motorways, cruise ships, ports, railways, and more - offering endless opportunities for collaboration and growth. Our people are empowered to make an impact, supported by a culture that values teamwork, development, and innovation.

Sustainability and social responsibility are embedded in our strategy, ensuring we grow in a way that benefits both our employees and the communities we serve.

Are you looking for a dynamic, international career where your contributions truly matter? Join Avolta and be part of a team that’s shaping the future of travel - together.

PURPOSE OF THE ROLE
The purpose of this role is to design, build, and maintain robust data processing pipelines and
scalable storage systems for large and complex datasets. You will oversee the overall health,
performance, and evolution of our global data platform architecture, while driving innovation in
analytics and supporting the delivery of high-quality, data-driven solutions for the business.

RESPONSIBILITIES

Platform, Architecture & Engineering
 Design, build, and maintain robust data processing pipelines and scalable storage systems
for large and complex datasets.
 Oversee the overall health, performance, and evolution of the global data platform
architecture.
 Diagnose and resolve technical issues across big data systems, identifying root causes and
recommending improvements.
 Evaluate emerging technologies (AI, ML, NLP, CV, GenAI, data engineering frameworks,
etc.) and assess their applicability within Avolta’s ecosystem.
 Create prototypes and proof of concepts for new data products and advanced analytics
use cases.

Advanced Analytics & Collaboration
 Collaborate closely with Global Data Scientists, BI & Integration & AI Managers, and other
stakeholders to design analytical solutions that address key business challenges.
 Support Data Scientists in developing algorithms, models, and experimentation workflows
to extract insights from large datasets.
 Identify new analytical trends, data needs, and opportunities for improving business
processes using modern data and AI technologies.
Data Quality, Observability, Governance & Review
 Perform quality assurance testing to ensure data products and analytical models are
accurate, reliable, and aligned with business logic.
 Conduct peer reviews of engineers’ work to ensure alignment with industry best practices,
coding standards, and architectural guidelines.
 Collaborate with data sourcing teams to develop, test, implement, and optimize analytical
models and data transformations.
 Partner with platform and infrastructure teams to integrate observability tools (log
analytics, APM, pipeline observability, data quality monitors) and automate remediation
when possible.
 Establish standards for instrumentation (at pipeline, job, and dataset level), error budgets,
incident runbooks, and post mortems to drive continuous improvement.
 Maintain continuous monitoring of data platform systems and perform proactive
maintenance to ensure availability, stability, data quality, and cost efficiency.
Data Discovery & Complex Analysis
 Lead data discovery activities, working with business teams to understand data sources,
address inconsistencies, and validate business logic.
 Explore complex datasets to uncover hidden relationships, patterns, and insights that
support data-driven decision making.
 Perform technical, quantitative, statistical, and operational analysis to support projects and
business initiatives.

Delivery & Consumption
 Ensure high-quality data products are delivered through various consumption modes,
including dashboards, reports, APIs, AI agents, and application integrations.
 Ensure data products are easily discoverable and consumable, supporting self-service
analytics and integration into AI/GenAI use cases.

WHAT WE ARE LOOKING FOR
 Strong experience designing and modeling big data products and relational/analytical data
models (data modeling mandatory).
 Proficiency in SQL, Python, and DAX for data engineering and analytics.
 Hands-on experience with Databricks and Power BI is mandatory.
 Experience with Kafka and orchestration tools such as Azure Data Factory is a plus.
 Solid understanding of the Big Data ecosystem, Azure cloud services, and modern data
engineering trends.
 Knowledge of GenAI, AI/ML modeling, and MLOps/DataOps practices is an advantage

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We look forward to connecting with you soon!