Location
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, Netherlands, Sweden, 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'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
Are you a Do’er?
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.
Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button.
#LI-Remote
Top Skills
What We Do
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure you’re operating in a well-architected and scalable state - from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help you solve complex multicloud problems and drive efficiency.
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
Why Work With Us
We are a remote-first company navigating hypergrowth as we hire the best talent around the world to solve the biggest challenges the multicloud ecosystem has to offer. We are tightly aligned but loosely coupled with a massive degree of autonomy and trust as we focus more on successful outcomes and less on "time in the office".
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