Data Engineer

We believe in better. And we make it happen.  

Better content. Better products. And better careers.  

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. 

At Sky, data plays a vital role in protecting the content millions of people love. As part of our Data, Automation, and Anti-Piracy team, you’ll use your data engineering skills to help safeguard Sky’s digital assets and customers around the world. Working alongside talented data engineers, analysts, and anti-piracy specialists, you’ll build and optimise data pipelines that power our efforts to detect, monitor, and stop illegal streaming. It’s fast-paced, collaborative work with a real sense of purpose — combining big data, automation, and cloud technology to make a measurable impact on one of the most challenging problems in the media industry. 

What you’ll do 

• Design, build, and maintain reliable data pipelines that enable advanced analytics, automation, for Sky’s Anti-Piracy function. 

• Work across both streaming and batch data environments, integrating multiple data sources to detect piracy patterns and deliver actionable insights. 

• Collaborate with data scientists, analysts, engineers, and anti-piracy specialists to deliver high-quality, trusted data products. 

• Contribute to the design and documentation of data pipeline architecture, ensuring scalability, security, and performance across our GCP infrastructure. 

• Develop and orchestrate data workflows using Airflow (Cloud Composer), Python, and SQL in BigQuery, while working with 3rd-party APIs and other cloud environments. 

• Support and optimise machine learning pipelines built on Google Vertex AI, powering automated detection and classification models. 

• Drive innovation by improving automation, reliability, and real-time analytics capabilities within the anti-piracy data ecosystem. 

• Play an active role in knowledge sharing, mentoring, and shaping best practices across the wider Data, Automation, and Anti-Piracy team. 

What you’ll bring 

• Proven experience as a Data Engineer, with solid hands-on skills in Python and SQL. 

• Strong working knowledge of cloud-based data platforms preferably Google Cloud Platform (GCP) or equivalent (e.g. AWS) with exposure to CI/CD and IaC (e.g. Concourse, Terraform). 

• Experience in building and maintaining data pipelines and orchestrations using tools such as Airflow (Cloud Composer). 

• Understanding of data modelling, ETL/ELT processes, and best practices for designing scalable, high-performance data solutions. 

• A collaborative mindset with the ability to work autonomously — taking ownership of tasks while contributing effectively within agile sprints. 

• Excellent communication skills, able to translate complex technical concepts into clear, concise language for non-technical stakeholders. 

• A genuine interest in applying data engineering to meaningful, real-world challenges — learning the ins and outs of digital content protection and anti-piracy along the way. 

Team Overview 

You’ll be joining the Data, Automation & Anti-Piracy division within Global Reliability & Operations at Sky. Our Anti-Piracy Data Engineering team sits at the heart of efforts to protect our content, our customers and our business from digital threats. We work in a fast-paced, agile environment where data, automation and machine learning converge to deliver intelligence for the Group Anti-Piracy team and broader reliability & operations. With a culture of collaboration and innovation, you’ll work alongside analysts, data scientists, investigators and engineers. Joining us means stepping into a role where your contribution has real impact — enabling the platforms, and insights that power our anti-piracy mission. 

The rewards  

There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: 

• Sky Q, for the TV you love all in one place 

• The magic of 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 and encourage applications from all candidates. We will look to 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 on in the recruitment process. 

Your office space: 

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. 

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. 

We'd love to hear from you  

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.  

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. 

If you believe in better, we’ll back you all the way. 

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.