At a Glance
- Tasks: Build and scale massive data pipelines for millions of users across various platforms.
- Company: Join a global tech and media giant 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 a real impact by optimising data systems and mentoring the next generation of engineers.
- 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.
Senior Engineer, Data Engineering in London employer: Randstad Technologies
As a Senior Engineer in Data Engineering at our global tech and media giant, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. Enjoy the flexibility of 100% remote work within the UK, alongside opportunities for professional growth through mentorship and hands-on experience with cutting-edge technologies like GCP. Join us to make a meaningful impact on how millions of users engage with our platform while being part of a supportive team that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and media industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Scala, SQL, and dbt. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your cloud knowledge, particularly GCP. Be ready to discuss how you've optimised data pipelines in the past and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and cloud architecture. We want to see how your skills in Scala, SQL, and GCP align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've built or optimised data systems. We love seeing hands-on experience, so don’t hold back on the details!
Communicate Clearly:Strong communication is key for us. When writing your application, make sure to clearly articulate your role in past projects and how you collaborated with 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 get to know you better!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Stack
Make sure you brush up on your Scala, SQL, and dbt skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Data Pipelines
Since you'll be building and maintaining data pipelines, it’s crucial to understand the architecture behind them. Prepare to explain your approach to designing high-volume data systems and how you ensure they are efficient and reliable.
✨Showcase Your Mentoring Skills
As a Senior Engineer, mentoring junior engineers will be part of your role. Think of examples where you've successfully guided others, and be ready to discuss your mentoring style and how you help others grow in their technical skills.
✨Communicate Effectively
Strong communication is key, especially when partnering with Product Managers and Data Scientists. Practice articulating complex technical concepts in simple terms, and prepare to discuss how you’ve collaborated with cross-functional teams in the past.
