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- Tasks: Lead data warehouse performance analysis and collaborate on product improvements.
- Company: DoiT empowers digital companies globally with 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 dedicated to solving complex cloud challenges and personal growth.
- Qualifications: 5+ years in large-scale data systems, SQL proficiency, and experience with ClickHouse or similar platforms.
- Other info: Work remotely from various EMEA locations and embrace a culture of inclusivity and support.
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.
Who We AreDoiT 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\’ll be collaborating with product managers and developers from other teams and also participating in product-making decisions.
Responsibilities
- Lead the analysisand 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
Be your truest self. Work on your terms. Make a difference.
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! Click here to learn more about our core values .
We thought so too, but we’re here and happy we hit that ‘apply’ button.
- Unlimited PTO
- Flexible Working Options
- Health Insurance
- Employee Stock Option Plan
- Professional Development Stipend
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LinkedIn Profile
Are you based in the UK, Ireland, Estonia, Netherlands, Sweden, Spain, Portugal, or other Eastern European locations? * Select…
We are currently only accepting applications from candidates located within the areas specified in the job description.
Will you now or in the future require visa sponsorship for the country you are applying? * Select…
Do you have experience with ClickHouse performance internals or any other big data platform? If yes, please specify which one. *
What range does your salary expectation fall into? Please choose one: * Select…
(in EUR or equivalent in your local currency)
What are your salary expectations? *
Voluntary Disclosure of Gender * Select…
At DoiT International, our unwavering dedication to cultivating a diverse and inclusive workplace remains paramount. In line with this commitment, we are presently engaged in the collection of gender data to assess and fortify our diversity and inclusion programs.
It is imperative to emphasize that the information collected is meticulously segregated from your employment records and holds no bearing on any employment-related determinations. We wish to underscore that your privacy is rigorously safeguarded as DoiT International processes gender data in an aggregate and de-identified manner. Be assured that under no circumstances will this information be divulged or disseminated externally in a manner that compromises anonymity.
While the provision of this information is entirely voluntary, we extend an invitation for you to consider self-identifying. Such voluntary contributions substantiate and fortify DoiT\’s steadfast commitment to fostering diversity and inclusion within our organizational fabric.
Do you have hands-on experience with SQL? * Select…
Do you have solid knowledge or hands-on experience with Go or Python? Select…
Do you have experience with data warehouse optimization? * Select…
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Sr Data Engineer - Ukraine Remote EMEA employer: Doit Intl
Contact Detail:
Doit Intl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Data Engineer - Ukraine Remote EMEA
✨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 for the Sr Data Engineer role. This can help you tailor your approach during interviews.
✨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 expertise.
✨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.
We think you need these skills to ace Sr Data Engineer - Ukraine Remote EMEA
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, query tuning, and cloud infrastructure.
Craft a Strong 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 Relevant Skills: Clearly outline your technical skills related to the job description, such as proficiency in Go or Python, and your experience with real-time analytics. Use examples to demonstrate your expertise.
Prepare for Questions: Anticipate questions related to your experience with data warehouse optimisation and cloud services. Be ready to discuss specific challenges you've faced and how you overcame them, showcasing your problem-solving abilities.
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 cost-effectiveness, as this will demonstrate your hands-on knowledge.
✨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 Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data model improvements and pipeline design. Think of scenarios where you faced challenges and how you approached them, showcasing your analytical thinking and creativity.
✨Emphasise Your Adaptability
The job requires flexibility in a fast-paced environment. Be sure to convey your adaptability by sharing experiences where you successfully navigated changes or unexpected challenges in your previous roles, demonstrating your resilience and goal-oriented mindset.
