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.What you'll doWork as part of an Agile Team to design, build and support distributed ETL pipelines using Big Data technologies on large scale data set, that deliver business critical dataCollaborate directly with Product Owners (US and UK based), Data Source Teams, Data Consumers, Architecture and other teams, to understand requirements, data challenges, technical implementation and solutions that focus on data needsParticipate in demos and showcases to external and internal stakeholders to provide insights into data, get early feedback and sign offUnderstand, implement, and follow data engineering best practices in your team and departmentBe involved in the end to end of the data lifecycle, ensuring we have effective data governance and documentation to support customers and the teamsContribute towards analysis best practices and standards and helping consistency of delivery across the team Work across production issues and technical improvements to continuously improve the platform and the tools used by the teams Implement a DataOps philosophy in everything you do.What you'll bringBachelor's or Master's level degree in an Engineering degreeExcellent SQL skills enabling medium-large scale data transformation and analysisExperience performing data analysis across data warehousing projects, applying principles in terms of dimensional modelling and ETL pipeline design Expertise in designing or developing data models and distributed data pipelines using Big Data technologies on large scale data setsExperience in cloud based ETL environments, preferably Google Cloud Platform or Amazon Web ServicesSolid fundamentals of software & data engineering with proven experience of working in a CI/CD, and test-driven development environment Strong communication, interpersonal skills and being able to effectively manage multiple priorities ensuring transparency of plans and deliverables Experience in implementing innovative improvement opportunities and ideas, either technically or data-related such as automation and using scripting languages such as PythonEffective management of multiple priorities and conflicting requests. Experience with Data Analytics Tools such as Tableau and Data modelling framework tools such as DBT (Data build Tool) desirableTeam overviewGlobal Streaming TechnologyOur team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport.GST-Data - Department overview: Within the GST ecosystem, Global Streaming Technology Data (GST-Data) department is a?central ecosystem?where?data is ingested?from numerous internal and external data sources (Sky OTT,?NBCU?or?3rd Party?sources). The?GST-Data Platform?ingests, protects, transforms, stores and prepares data for analytics. Pairing the data?with our?expert data engineering?allows us to?enhance?the proposition data and?empower?our stakeholders?to?make better decisions?that better serve our customers. 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 placeThe magic of Sky Glass at an exclusive rateA generous pension packagePrivate healthcareDiscounted mobile and broadbandA wide range of Sky VIP rewards and experiencesInclusion & how you'll workWe 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 OsterleyOur 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.
