At a Glance
- Tasks: Design and optimise scalable data pipelines on Google Cloud Platform.
- Company: Join Virgin Media O₂, a leader in innovative data solutions.
- Benefits: Enjoy Bupa healthcare, generous holiday, and your birthday off!
- Other info: Be part of an inclusive team that values diversity and innovation.
- Why this job: Make a real impact by powering insights for millions of customers.
- Qualifications: Strong Python and SQL skills with data engineering experience required.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Engineer at Virgin Media O₂, you’ll play a key role in designing, building and optimising scalable data pipelines and tools that power high‑quality, trusted data across the business. Working within our Data Platforms team, you’ll help ensure teams can access the insights they need to make better decisions, supporting services used by millions of customers. In this role you’ll collaborate closely with stakeholders, architects and engineers to deliver robust, efficient data solutions on Google Cloud Platform. You’ll contribute to improving engineering practices, automate processes, and maintain high standards of reliability and performance. From developing real‑time and batch pipelines to enhancing internal tooling, you’ll continuously look for ways to improve platform capability and drive innovation.
Responsibilities
- Design, build and optimise scalable data pipelines and tools on GCP.
- Collaborate with stakeholders, architects and engineers to deliver robust data solutions.
- Automate data processes and maintain reliability and performance standards.
- Develop real‑time and batch pipelines and enhance internal tooling.
- Identify opportunities to improve platform capability and drive innovation.
Required Qualifications
- Strong Python skills with proven data‑engineering experience.
- Advanced SQL skills, including analytics and data quality practices.
- Hands‑on experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub and Cloud Functions.
- Experience building and managing production data pipelines and data‑warehouse solutions.
- Knowledge of DevOps practices including CI/CD and Infrastructure as Code (e.g., Terraform).
Preferred Qualifications
- Experience with Apache Airflow or Cloud Composer for orchestration.
- Exposure to Agile ways of working.
- Knowledge of Kubernetes or Dataflow.
- Familiarity with software engineering principles such as SOLID or TDD.
- Experience working with distributed or key‑value data stores.
Benefits
Benefits include Bupa healthcare, wellbeing support, life cover, a pension and generous holiday, plus your birthday off. You can also access optional electric vehicle lease and Cycle2Work schemes, dental insurance, neurodiversity assessments, and discounts on broadband, TV and mobile. Additional perks include access to the Virgin Family platform and the O₂ Priority app.
Equal Opportunity Employer
Virgin Media O₂ is an equal opportunities employer and we work hard to remove bias and barriers. We want every person who joins us – and everyone thinking about joining us – to feel seen, heard and supported.
Senior Data Engineer employer: Virgin Media O2
At Virgin Media O₂, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Data Engineer, you'll benefit from comprehensive healthcare, generous holiday allowances, and unique perks like your birthday off and access to the Virgin Family platform. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Virgin Media O2!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Virgin Media O2.
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We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Virgin Media O2, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Virgin Media O2. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Virgin Media O2
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Virgin Media O2!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
