Data Engineer
Pubblicato il 05-08-2026 - Sky in Milano
Questa posizione è in Sky Il processo di selezione sarà interamente gestito Sky.
-- About us Sky is a tech media company that makes entertainment and connectivity a personal, simple, and seamless experience.
Our motto is We Believe in Better : we believe people deserve the very best, and we innovate every day to create value and simplify the lives of our customers.
We are part of Sky Group and the Comcast ecosystem , operating in an international environment focused on continuous innovation and supported by cutting-edge technology that enables us to reach millions of people every day.
With an IP-first approach, we design state-of-the-art technology platforms— Sky Stream, Sky Q, Sky Glass, and NOW —that integrate premium content, trusted and continuous news, and major sports events into a simple and intuitive ecosystem.
We also engage the entire country through our free-to-air channels— TV8, Cielo, and Sky TG24 —and go beyond entertainment with Sky Wifi and Sky Mobile , offering ultra-fast connectivity both inside and outside the home.
This is how we deliver the joy of a better experience , guided by our values: Creative .
We are ambitious and innovative, embracing new technologies and leveraging insights to stay ahead, continuously raising the bar for quality for our customers.
Welcoming .
We are inclusive, collaborative, and respectful, creating a strong sense of belonging.
Simplifying .
We focus on what truly matters, set priorities, bring clarity, and eliminate complexity.
Do the right thing.
We build a culture based on clarity, fairness, and trust, with transparent processes and decisions people can rely on.
Ruolo: Data Engineer We are seeking a skilled and motivated Data Engineer to contribute to data engineering initiatives focused on building reliable data pipelines, scalable data models, ingestion and transformation workflows, and the platform foundations that power analytics and machine learning across the organization.
In this role, you will work with large-scale customer, product, content, and media data to design and operate the pipelines and data assets that make this data accessible, trustworthy, and ready for analysis.
You will collaborate with technical data analysts, data engineers, machine learning engineers, data scientists, and business stakeholders within domain-aligned vertical teams, across the full lifecycle of data engineering projects, from requirements gathering and design to ingestion, transformation, orchestration, quality assurance, and ongoing reliability.
Our toolkit is built on GCP, with BigQuery, Dataflow, and Airflow at its core.
Cosa farai: Understand business requirements and translate into technical deliverables Produce deliverables that follow the development standards and principles, on time Produce a detailed breakdown of development tasks on projects Adhere to the end to end change process and apply necessary rigour in a timely manner Collaborate extensively within the Data Platform