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- Tasks: Design and build large-scale backend services and data pipelines using cutting-edge technologies.
- Company: Join DoiT, a global tech leader in cloud innovation and optimisation.
- Benefits: Enjoy unlimited PTO, flexible working options, health insurance, and professional development support.
- Other info: Embrace a culture of inclusivity and continuous learning in a dynamic work environment.
- Why this job: Make a real impact on cloud performance while working remotely with a diverse team.
- Qualifications: 8+ years in backend engineering with strong skills in data systems and cloud-native technologies.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Our Principal Data Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel. We are also open to contractors in East Europe and Portugal.
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 our customers operate 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 our customers solve complex multicloud problems and drive efficiency.
About DoiT's PerfectScale Platform: DoiT offers PerfectScale, a pioneering Kubernetes optimisation and management solution that empowers DevOps, SRE, and Platform Engineering teams to optimise cloud performance while minimising costs. We combine advanced AI technology with SME‑human expertise to help organisations achieve peak Kubernetes efficiency.
The Opportunity: As a Principal Data Engineer, you will be both a hands‑on contributor and a key architectural leader. You will design and build large‑scale backend services and high‑throughput data pipelines while also shaping the long‑term technical direction of PerfectScale’s platform. This role combines deep technical ownership with active contribution to critical code, infrastructure, and performance‑sensitive workloads.
Responsibilities:- System Ownership: Design, build, and deploy large‑scale distributed systems and high‑throughput data pipelines using Go and cloud‑native technologies.
- Architecture & Code: Lead system‑wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code.
- Technical Leadership: Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability. Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers.
- Experience: 8+ years of backend engineering experience, with 3+ years architecting high‑load systems or data pipelines in a production environment.
- Data Systems: Strong, hands‑on experience with relational and analytical databases (Postgres, ClickHouse is preferred).
- Cloud‑Native: Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD).
- Skills: Demonstrated ability to combine hands‑on coding with architectural leadership, including strong debugging, benchmarking, and performance optimisation skills.
- Experience with modern data engineering technologies: Spark, Trino, Iceberg, Parquet, ClickHouse, DBT
- DBA background (relational, OLAP, columnar)
- Expertise in telemetry and time series
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!
Full‑time employee benefits include:- 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, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
At DoiT International, our unwavering dedication to cultivating a diverse and inclusive workplace remains paramount.
Principal Data Engineer - PerfectScale by DoiT Remote Estonia employer: Doit Intl
Contact Detail:
Doit Intl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer - PerfectScale by DoiT Remote Estonia
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Principal Data Engineer - PerfectScale by DoiT Remote Estonia
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Engineer role. Highlight your experience with backend engineering, data pipelines, and cloud-native technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for DoiT. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with technologies like Go, Kubernetes, and databases like Postgres or ClickHouse. We love seeing specific examples of how you've used these skills in past roles!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at DoiT!
How to prepare for a job interview at Doit Intl
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Go, Kubernetes, and cloud-native practices. Brush up on your experience with relational and analytical databases like Postgres and ClickHouse, as these will likely come up during technical discussions.
✨Showcase Your Architectural Skills
Prepare to discuss your past experiences in designing high-load systems and data pipelines. Be ready to explain your architectural decisions and how they contributed to performance and resilience. Use specific examples to illustrate your thought process and problem-solving abilities.
✨Demonstrate Leadership Qualities
As a Principal Data Engineer, you’ll need to show that you can lead technical initiatives and mentor junior engineers. Think of instances where you’ve taken charge of projects or helped others grow in their roles. Highlight your ability to champion best engineering practices and improve code quality.
✨Cultural Fit Matters
DoiT values diversity and inclusion, so be prepared to discuss how you can contribute to a positive team culture. Share your thoughts on collaboration and how you’ve worked effectively in diverse teams. Show that you align with their core values of being entrepreneurial and pursuing knowledge.