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- Tasks: Lead data analysis and optimise big data warehouse performance.
- Company: DoiT empowers digital companies globally with cutting-edge cloud technology and expertise.
- Benefits: Enjoy unlimited PTO, flexible working options, health insurance, and a professional development stipend.
- Why this job: Join a fun, entrepreneurial team solving complex cloud challenges while working remotely.
- Qualifications: 5+ years in large-scale data systems; expertise in ClickHouse or similar platforms required.
- Other info: Be your true self and balance work with life in a supportive environment.
The predicted salary is between 43200 - 72000 £ 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, 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 will 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!
Benefits
- Unlimited PTO
- Flexible Working Options
- Health Insurance
- Employee Stock Option Plan
- Professional Development Stipend
Sr Data Engineer Remote UK employer: Doit Intl
Contact Detail:
Doit Intl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Data Engineer Remote UK
✨Tip Number 1
Familiarise yourself with ClickHouse performance internals, as this is a key requirement for the role. Consider exploring online resources or forums where you can learn from others' experiences and best practices.
✨Tip Number 2
Network with current or former employees of DoiT to gain insights into the company culture and expectations. This can help you tailor your approach and demonstrate your genuine interest in becoming a part of their team.
✨Tip Number 3
Brush up on your SQL skills and backend coding knowledge, particularly in Go or Python. You might want to work on personal projects or contribute to open-source initiatives to showcase your abilities in these areas.
✨Tip Number 4
Prepare to discuss your experience with real-time analytics and cloud infrastructure during interviews. Be ready to share specific examples of how you've optimised data systems in previous roles, as this will highlight your expertise.
We think you need these skills to ace Sr Data Engineer Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large-scale data systems, particularly focusing on your expertise in ClickHouse or similar big data platforms. Use specific examples to demonstrate your skills in query tuning and cost optimisation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud technology and how your background aligns with DoiT's mission. Mention your collaborative experiences and how you can contribute to improving the DoiT Cloud Intelligence product.
Showcase Relevant Projects: If you have worked on projects involving data warehouse optimisation or real-time analytics, be sure to include these in your application. Detail your role and the impact of your contributions to highlight your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to SQL, Go, Python, and data system health monitoring. Be ready to discuss your problem-solving approach and any best practices you've implemented in previous roles.
How to prepare for a job interview at Doit Intl
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with large-scale data systems, particularly focusing on ClickHouse or any other big data platform. Highlight specific projects where you optimised performance or reduced costs, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate Collaboration Skills
Since the role involves working closely with product managers and developers, be ready to share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate effectively and work within a team to achieve common goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your approach to real-time analytics and data system health monitoring. Think of scenarios where you had to diagnose issues or implement best practices in table design, partitioning, or indexing, and be ready to explain your thought process.
✨Embrace the Company Culture
DoiT values a sense of humour and a fun work environment. During the interview, let your personality shine through and express your enthusiasm for being part of a collaborative and innovative team. This will help you connect with the interviewers on a personal level.
