At a Glance
- Tasks: Lead data analysis and optimise big data warehouse performance.
- Company: Join DoiT, a global leader in cloud technology and innovation.
- Benefits: Enjoy unlimited PTO, flexible working, health insurance, and professional development.
- Other info: Be part of a diverse team that values every unique perspective.
- Why this job: Make a real impact on cutting-edge cloud solutions while having fun.
- Qualifications: 5+ years in large-scale data systems; strong SQL and cloud infrastructure knowledge.
The predicted salary is between 60000 - 80000 € per year.
Our Sr Data Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely in EMEA in one of our legal entities: the UK, Ireland, Netherlands, Sweden, Estonia, Israel or Spain. It is also available to contractors in other Eastern European locations and Portugal.
DoiT helps fast-growing, digital native companies globally to harness public cloud technology and services to drive business growth. A full-service provider of multi-cloud technology and expertise, DoiT combines the power of intelligent software with deep expertise in Kubernetes, artificial intelligence, and more to deliver the true promise of the cloud at peak efficiency – with ease, not cost.
An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure with $2B cloud spend under management, DoiT works alongside more than 3,000 customers in 70 countries. At DoiT, you’ll join a growing team of committed, experienced, and collaborative "Do’ers" who are passionate about solving the most complex cloud challenges.
As a Sr Data Engineer, you will be working on improving the DoiT Cloud Intelligence product and driving the performance improvement of large-scale data warehouses. You’ll be collaborating with product managers and developers from other teams and also participating in product-making decisions.
Responsibilities
- Lead the analysis and optimization of big data warehouse performance and cost effectiveness
- Collaborate with engineering teams to improve data models and pipelines
- Design and implement tools for monitoring and diagnosing data system health
- Guide best practices for table design, partitioning, clustering, and indexing
- Contribute to platform code and infrastructure to support scalable analytics
Qualifications
- 5+ years of experience working with large-scale data systems in production
- Deep knowledge of ClickHouse performance internals or any other big data platform
- Proven expertise in query tuning, cost optimization, and storage design
- Proficiency in SQL and familiarity with backend coding (e.g., Go, Python)
- Strong understanding of cloud infrastructure
- Real-life experience with real-time analytics
- Excellent communication skills in English, both written and verbal
- Self-organized, goal-oriented, self-motivated individual who is confident, thorough and tenacious
- Ability to effectively operate with flexibility in a fast-paced, constantly evolving team environment
- A great sense of humor and enjoys having fun at work
Bonus Points
- BA/BS degree or equivalent practical experience
- Experience with Google Cloud or AWS services from a production environment
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun!
Unlimited PTO, Flexible Working Options, Health Insurance, Employee Stock Option Plan, Professional Development Stipend
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it’s our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
Sr Data Engineer in London employer: CloudDevs
DoiT is an exceptional employer that champions a flexible and inclusive work culture, allowing Sr Data Engineers to thrive in a remote environment across EMEA. With a strong focus on professional development, unlimited PTO, and a commitment to diversity, employees are empowered to grow their skills while enjoying a balanced work-life dynamic. Join a passionate team of 'Do’ers' dedicated to solving complex cloud challenges and making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and contributions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 passionate candidates who are eager to join our team!
We think you need these skills to ace Sr Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Sr Data Engineer role. Highlight your experience with large-scale data systems and any specific technologies mentioned in the job description, like ClickHouse or cloud services.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality! Share why you're excited about the role and how your skills align with our mission at DoiT. Don’t forget to mention your love for problem-solving and collaboration!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We want to see real-life examples of your work with data warehouses, query tuning, and any tools you've designed or implemented.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team of Do’ers!
How to prepare for a job interview at CloudDevs
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of large-scale data systems, especially ClickHouse or any other big data platform. Be ready to discuss your experience with query tuning and cost optimisation, as these are crucial for the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product managers and developers, prepare examples of how you've successfully collaborated in the past. Highlight your ability to communicate effectively and work in a fast-paced environment.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to discuss specific challenges you've faced in data engineering and how you overcame them. This could include performance improvements or optimising data models. Show them you're a proactive 'Do’er' who loves tackling complex problems.
✨Ask Insightful Questions
Prepare thoughtful questions about DoiT's Cloud Intelligence product and their approach to data warehousing. This shows your genuine interest in the company and the role, plus it gives you a chance to assess if it's the right fit for you.
