At a Glance
- Tasks: Build and scale massive data pipelines for a global tech giant.
- Company: Join a leading tech and media company with a focus on innovation.
- Benefits: Enjoy remote work, competitive salary, and opportunities for mentorship.
- Other info: 100% remote role with excellent career growth potential.
- Why this job: Make an impact by optimising data systems that reach millions of users.
- Qualifications: Experience in Scala, SQL, GCP, and strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
We are partnering with a global tech and media giant to hire a Senior Data Engineer. You will build and scale the massive data pipelines that track how millions of users interact with the platform across smart TVs, gaming consoles, and major social media apps.
- Architect, build, and maintain complex, high-volume data pipelines.
- Partner with Product Managers and Data Scientists to turn business requests into reliable data models.
- Mentor junior engineers and optimize cloud infrastructure for cost and performance.
- Heavy, hands-on coding experience with Scala, SQL, and dbt.
- Deep expertise in GCP (Google Cloud Platform) and cloud-based data architecture.
- Proven ability to build systems that can process massive amounts of data efficiently.
- Strong communication skills to lead projects and align with cross-functional teams.
Location: 100% Remote within the UK.
Ingegnere dei dati (f/m) in London employer: Randstad Technologies
As a leading global tech and media giant, we offer an exceptional work environment that fosters innovation and collaboration. Our remote-first culture allows you to work from anywhere in the UK, providing flexibility while being part of a dynamic team dedicated to building cutting-edge data solutions. With ample opportunities for professional growth, mentorship, and a commitment to optimising your work-life balance, we are an employer of choice for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud architecture. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills in Scala and SQL. Practice common data engineering problems and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and cloud infrastructure. We want to see how your skills in Scala, SQL, and GCP align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of projects where you've built or optimised data systems – we love a good story!
Show Off Your Communication Skills:Since strong communication is key for this role, make sure your application reflects your ability to collaborate with cross-functional teams. We want to know how you’ve led projects and mentored others!
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 ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Stack
Make sure you’re well-versed in Scala, SQL, and dbt. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. Being able to demonstrate your hands-on experience will show that you’re the right fit for the role.
✨Understand Data Pipelines
Familiarise yourself with building and maintaining data pipelines, especially in a cloud environment like GCP. Be prepared to talk about how you’ve optimised data processing in previous roles and any challenges you faced while scaling systems.
✨Collaboration is Key
Since you'll be working closely with Product Managers and Data Scientists, think of examples where you’ve successfully collaborated with cross-functional teams. Highlight your communication skills and how they helped align project goals and deliverables.
✨Mentorship Matters
If you have experience mentoring junior engineers, be sure to mention it! Discuss how you’ve helped others grow their skills and how you approach teaching complex concepts. This shows leadership potential and a commitment to team development.
