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For Companies At a Glance
- Tasks: Lead data analysis and optimise big data warehouse performance.
- Company: DoiT empowers digital-native companies with cloud technology for growth.
- Benefits: Enjoy unlimited PTO, flexible working, health insurance, and professional development.
- Why this job: Join a fun, collaborative team solving complex cloud challenges while working remotely.
- Qualifications: 5+ years in large-scale data systems; expertise in SQL and cloud infrastructure required.
- Other info: Be part of a global team that values entrepreneurial spirit and personal growth.
The predicted salary is between 48000 - 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, Israel, Estonia, or Spain. It is also available to contractors in other Eastern European locations and Portugal.
Who We Are
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.
The Opportunity
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!
Unlimited PTO, Flexible Working Options, Health Insurance, Parental Leave, Employee Stock Option Plan, Home Office Allowance, Professional Development Stipend, Peer Recognition Program.
Sr Data Engineer employer: DoiT
Contact Detail:
DoiT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Data Engineer
✨Tip Number 1
Familiarise yourself with DoiT's Cloud Intelligence product and its features. Understanding the product will not only help you in interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with current or former employees of DoiT on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 3
Brush up on your knowledge of ClickHouse and other big data platforms. Since deep knowledge of these technologies is crucial for the role, being able to discuss specific performance tuning techniques or experiences can set you apart.
✨Tip Number 4
Prepare to showcase your problem-solving skills through real-world examples. Be ready to discuss how you've optimised data systems or improved performance in previous roles, as this aligns closely with the responsibilities of the position.
We think you need these skills to ace Sr Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in large-scale data systems, particularly with ClickHouse or similar platforms. Emphasise your skills in SQL, backend coding, and cloud infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with DoiT's mission. Mention specific projects where you've optimised data performance or collaborated with cross-functional teams.
Showcase Your Communication Skills: Since excellent communication is key for this role, consider including examples of how you've effectively communicated complex technical concepts to non-technical stakeholders in your application.
Highlight Your Problem-Solving Abilities: DoiT values self-motivated individuals who can tackle challenges. Include instances where you've successfully solved complex problems in data engineering, showcasing your analytical and creative thinking.
How to prepare for a job interview at DoiT
✨Showcase Your Technical Expertise
As a Sr Data Engineer, you'll need to demonstrate your deep knowledge of big data systems. Be prepared to discuss your experience with ClickHouse or similar platforms, and share specific examples of how you've optimised performance and cost in previous roles.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role. Think of examples where you've worked with product managers and developers to improve data models or pipelines. Highlight your ability to communicate effectively and work as part of a team.
✨Understand the Company’s Cloud Strategy
DoiT focuses on cloud technology, so it's crucial to understand their approach to AWS, Google Cloud, and Microsoft Azure. Familiarise yourself with their services and be ready to discuss how your skills can contribute to their cloud solutions.
✨Emphasise Your Problem-Solving Skills
The role involves diagnosing data system health and implementing monitoring tools. Prepare to discuss challenges you've faced in past projects and how you approached problem-solving, showcasing your analytical thinking and creativity.
