At a Glance
- Tasks: Lead data analysis and optimise performance of large-scale data warehouses.
- 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 innovation and fun.
- Why this job: Make a real impact while working with cutting-edge cloud technologies.
- Qualifications: 5+ years in large-scale data systems and proficiency in SQL.
The predicted salary is between 54000 - 66000 £ 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!
Benefits
- 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 employer: CloudDevs
Join our dynamic AI-driven Hospitality Tech platform, where you'll play a pivotal role as a Founding Full-Stack Senior Engineer. With a strong focus on innovation and growth, we offer a collaborative work culture that values your input and expertise, alongside competitive salary and equity options. Located in the UK, you'll have the opportunity to work closely with our founders, tackle challenging problems, and contribute to a product that is already making waves in the vacation rental market.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Data Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Sr Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at CloudDevs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CloudDevs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CloudDevs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
