Data Engineer

Responsibilities

• Build Scalable Data Solutions - Design and develop data models and ETL pipelines across large-scale datasets, ensuring they are reliable, maintainable, and aligned with established engineering standards.
• Deliver Business-Focused Data Features - Work closely with stakeholders and senior engineers to deliver data solutions that support key business use cases and enhance customer-facing services.
• Apply DataOps & Engineering Best Practices - Follow data engineering best practices and contribute to a DataOps culture by writing quality code, supporting testing, and maintaining good documentation.
• Solve Data Challenges Using Modern Tools - Develop solutions to data problems using tools such as GCP, AWS, Snowflake, Python, SQL, and DBT, with opportunities to learn and optimise through emerging technologies including AI
• Continuously Improve Ways of Working - Identify opportunities to improve pipelines, automate repetitive tasks, and enhance data processing efficiency as part of continuous improvement.
• Collaborate and Learn within the Team - Work collaboratively within the data engineering team, actively sharing knowledge and learning from more experienced engineers.
• Contribute to Agile Delivery - Participate in Agile ceremonies and contribute to iterative delivery, ensuring tasks are completed efficiently and to a high standard.
• Support Data Platform Growth - Contribute to building and maintaining data platforms that enable analytics, reporting, and data-driven decision-making across the organisation.
• Leverage AI-enabled tooling - Apply AI-driven capabilities to support data engineering tasks and improve efficiency.
• Support quality through testing - Contribute to the automation of testing for data pipelines and data product.

Requirements

• Essential criteria:
• Data Analysis & Engineering Capability - Proven experience analysing, designing, and delivering scalable data models and pipelines on large datasets, translating business problems into actionable insights.
• SQL & Python Skills - SQL expertise for large-scale data transformation, optimisation, and building modular, testable pipelines using DBT or equivalent, Python for building data pipelines, and automating data workflows
• Engineering Best Practices - Hands-on experience applying CI/CD, automated testing, and version-controlled development in production environments.
• Cloud-Based ETL & Data Warehousing - Proven experience building and operating cloud-based ETL pipelines and data warehouse solutions, including orchestration and monitoring (preferably in GCP or AWS).
• Data Modelling & Data Flow Understanding - Strong experience in dimensional modelling and designing end-to-end data flows across ingestion, transformation, and consumption layers.
• Incident Support & Operational Awareness - Proven ability to debug and resolve production data issues, improving data reliability and platform performance.
• Academic & Professional Background - Degree in Computer Science (or equivalent) with demonstrable experience delivering production-scale data systems.
• Team Collaboration & Communication - Ability to work cross-functionally, influence stakeholders, and clearly communicate ideas and technical solutions within a team environment
• Finance/Compliance Domain Experience - Experience working with finance data and/or systems which manage data for compliance purposes
• Additional / Bonus Skills - Experience with lakehouse architectures, BDD/automation practices, or regulated data environments.
• Benefits and perks:
• There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster:
• Free Sky TV or NOW package , including Sky Sports and Sky Cinema
• Pension package with up to 9% employer contribution
• Private healthcare with mental health support
• Aviva Digital GP and dental insurance
• Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect
• Sharesave and Tech schemes
• A range of Sky VIP rewards and experiences
• How you'll work:
• We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.
• Your office base:
• Osterley
• Our O

Benefits

Additional Information

We don't just believe in better. 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, Sky Stream 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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at sky? Share your experience