At a Glance
- Tasks: Support data transformation projects by building reusable data products and governance.
- Company: Join hackajob and work with Virgin Media on exciting data initiatives.
- Benefits: Enjoy competitive healthcare, generous holiday, and perks like dental insurance.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make a real impact in data transformation while enjoying a great work-life balance.
- Qualifications: Significant analytics engineering experience and strong SQL skills required.
The predicted salary is between 50000 - 65000 € per year.
hackajob is seeking an Analytics Engineer to support Virgin Media’s data transformation projects. This role focuses on building reusable data products and governance. The ideal candidate will have significant analytics engineering experience, strong SQL skills, and familiarity with cloud data platforms like BigQuery and dbt.
The position offers competitive benefits including healthcare, generous holiday, and perks like dental insurance and vehicle schemes, promoting a work-life balance.
Strategic Analytics Engineer — Data Products & Governance in London employer: hackajob
At Virgin Media, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment, complemented by competitive benefits such as healthcare, generous holiday allowances, and unique perks like dental insurance and vehicle schemes, all designed to promote a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Analytics Engineer — Data Products & Governance in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Virgin Media or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, especially those involving SQL and cloud platforms like BigQuery. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering questions. Think about how you’d explain your experience with data governance and building reusable data products. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Strategic Analytics Engineer — Data Products & Governance in London
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Talk About Your Data Products Experience:If you've built any reusable data products before, let us know! Share specific examples of what you created and how it made a difference in your previous roles.
Familiarity with Cloud Platforms is Key:Mention your experience with cloud data platforms like BigQuery and dbt. We’re keen to know how you’ve leveraged these tools in your analytics engineering work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at hackajob
✨Know Your SQL Inside Out
Since the role requires strong SQL skills, make sure you brush up on your SQL knowledge. Be prepared to answer technical questions and possibly even solve problems on the spot. Practising common SQL queries and understanding how to manipulate data will give you a solid edge.
✨Familiarise Yourself with Cloud Platforms
Get comfortable with cloud data platforms like BigQuery and dbt. If you have experience with these tools, be ready to discuss specific projects where you've used them. If not, do some research and understand their functionalities so you can speak confidently about them during the interview.
✨Showcase Your Analytics Engineering Experience
Prepare to discuss your previous analytics engineering projects in detail. Highlight how you built reusable data products and contributed to governance. Use specific examples to demonstrate your problem-solving skills and how you’ve added value in past roles.
✨Emphasise Work-Life Balance
Since the position promotes a healthy work-life balance, it’s a good idea to express your alignment with this value. Share how you manage your time effectively and maintain productivity while ensuring personal well-being. This shows that you’re not just about the work but also about a balanced lifestyle.
