Senior Data Engineer - Anti-Piracy

Sky
London
1 day ago
Create job alert

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.


Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work.


We are looking for a Senior Data Engineer to join our Anti-Piracy team who will be responsible for expanding and optimizing our data pipeline as well as optimizing data flow and collection within the Anti-Piracy Team.


The Senior Data Engineer will be responsible for designing, building, and scaling the data infrastructure that powers our anti-piracy operations and intelligence capabilities. You'll develop and maintain data pipelines, architect data storage solutions, and help shape data standards and governance across the org. You'll partner closely with data scientists, analysts, and engineering teams to ensure our data is accurate, reliable, secure, and available when needed.
The successful candidate must have strong technical skills as well as excellent communication skills.


What you'll do

  • Design, develop, and maintain scalable data pipelines for ingestion, transformation, storage, processing, analysis, and visualisation across multiple sources
  • Build and optimise data infrastructure and ETL workflows to support reliable extraction, transformation, and loading of large, complex datasets
  • Create and refine SQL queries, data models, and data structures to support reporting, analytics, and business-critical workloads
  • Monitor, validate, and troubleshoot data systems to ensure accuracy, performance, security, and scalability, resolving issues proactively
  • Automate manual workflows and implement internal process improvements to enhance data delivery efficiency and system reliability
  • Contribute to data governance standards, metadata management, and versioning processes while collaborating with data science and cross-functional teams
  • Maintain thorough documentation for data pipelines, systems, and processes, and stay current on modern data engineering tools, architecture patterns, and best practices

What you'll bring

  • Proven experience designing and scaling data pipelines and architectures in cloud environments (GCP and AWS desirable)
  • Deep experience with data modelling, schema design, ETL/ELT, warehousing concepts, and distributed data systems
  • Hands‑on experience working with large, complex, or messy datasets and making them usable
  • Strong SQL and scripting/programming skills (Python required; Java/Scala/C++ a plus)
  • Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.)
  • Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.)
  • Knowledge of data security, access control, and best practices for handling sensitive data
  • Experience collaborating across engineering, analytics, and product teams
  • Strong communication skills, especially explaining data concepts to non-technical stakeholders

Team overview

Sky's Group Anti-Piracy team's purpose is to make our great content unavailable to pirates, and to make pirated content unattractive to consumers. We prevent the theft of Sky's content by ensuring our platforms, like Sky Q, are secure and we deploy cutting‑edge technology, intelligence and investigations to stay one step ahead. We enforce the law and we work with our partners, like the big tech and social media platforms, to make sure that they understand the threat, and take action.


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

How you'll work

We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home.


We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process.


Your office base
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's 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.


Inclusion

At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working.


We are a Disability Confident Accredited 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.


Why wait?

Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you.


To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about.


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.