Overview

Senior Data Engineer at Sky. We believe in better. And we make it happen. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky.

What You'll Do

• Build Scalable Data Solutions - Design, build, and support data models and distributed ETL pipelines using cutting-edge big data technologies across large-scale datasets.
• Deliver Impactful Data Features - Collaborate with stakeholders across the business to deliver data features that directly shape and transform the services we provide to millions of customers.
• Champion DataOps & Best Practices - Drive data engineering excellence by embedding DataOps principles and best practices into everything you do — becoming a go-to expert in one or more data domains.
• Solve Real-World Problems with Modern Tools - Tackle complex data challenges using tools like Google BigQuery, Python, SQL, and DBT, with opportunities to experiment and optimise through AI.
• Innovate with Purpose - Explore new ways to improve delivery, automate workflows, and evolve how we work — bringing fresh thinking and future-ready solutions to the table.
• Lead & Mentor - Support and coach team members, sharing knowledge and acting as a role model while deputising for the Engineering Manager when needed.
• Collaborate in Agile Squads - Work as part of a high-performing Agile Data Engineering team, where ideas are shared, feedback is valued, and delivery is fast-paced and iterative.
• Shape the Future of Data at Scale - Be part of a team that’s not just building pipelines — but enabling smarter decisions, better products, and richer customer experiences through data.

What You'll Bring

• Data Analysis & Engineering Expertise - Proven experience designing and building complex data models and distributed data pipelines, with a strong focus on data analysis, insight generation, and solving real-world business problems at scale.
• SQL Mastery - Advanced SQL skills for high-performance data transformation, exploration, and optimisation across large, complex datasets
• Engineering Best Practices - Solid foundation in software and data engineering, including hands-on experience with CI/CD workflows, test-driven development, and agile collaboration.
• Cloud-Based ETL & Data Warehousing - Demonstrated success delivering large-scale data warehousing solutions, including dimensional modelling and ETL pipeline design—ideally within Google Cloud Platform (GCP) and good working knowledge of DBT (Data Build Tool) for building and managing data pipelines
• Modelling & Data Flow Understanding - Knowledge of how data is structured, processed, and applied within analytics and reporting environments.
• Incident Support & Operational Readiness - Ability to support the team in diagnosing and resolving data-related incidents, ensuring platform reliability and timely issue resolution.
• Academic & Professional Credentials - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Team Collaboration & Innovation - A natural collaborator with strong communication skills, capable of influencing technical decisions and contributing innovative ideas in a fast-paced, commercial environment.
• Good to Have / Bonus Skills - Experience working with financial data, exposure to Behaviour-Driven Development (BDD) principles and familiarity with AI/ML concepts or practical experience applying AI in data workflows

Team Overview

Global Streaming Technology (GST) — Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We operate at scale for over 50 million customers globally, including Sky services across Europe and NBCUniversal/NBCU properties in the US. We ensure a diverse audience can easily find and enjoy what they want to watch, on any device, time or place.

GST-Data — Department Overview

Within the GST ecosystem, Global Streaming Technology Data (GST-Data) ingests data from numerous internal and external sources. The GST-Data Platform ingests, protects, transforms, stores and prepares data for analytics. Our data engineering capabilities empower stakeholders to make better decisions that better serve customers.

The rewards

There are many perks. Here’s a taste:

• Sky Q, for the TV you love all in one place
• Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & How You\'ll Work

We are a Disability Confident Employer, and welcome applications from all candidates. We will ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later in the recruitment process.

Your office space

Osterley — Our Osterley Campus is a 10-minute walk from Syon Lane train station. There are free shuttle buses to various stations, bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. We also offer a subsidised gym, cinema, car wash, and beauty salon.

We\'d love to hear from you. Inventive minds come together to work in Tech, Product and Data at Sky. It\’s a place to explore what if, how far, and what next. We embrace differences, support our community and contribute to a sustainable future for our business and the planet. If your application is successful, we may require a criminal record check and, depending on the role and any convictions, the offer may be withdrawn.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Broadcast Media Production and Distribution