Sr Data Engineer

DoiT International; Gijón; A distancia; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

DoiT International is seeking a Sr Data Engineer to enhance our Cloud Intelligence product. The role involves optimizing data warehouse performance, collaborating on product improvements, and ensuring best practices in data modeling. Join a flexible, remote team passionate about leveraging cloud technology to solve complex challenges.

Servicios

Unlimited PTO

Flexible Working Options

Health Insurance

Employee Stock Option Plan

Professional Development Stipend

Formación

• 5+ years of experience with large-scale data systems.
• Deep knowledge of ClickHouse or other big data platforms.
• Proficiency in SQL and familiarity with backend coding.

Responsabilidades

• Lead analysis and optimization of big data warehouse performance.
• Collaborate with engineering teams for data models and pipelines.
• Design tools for monitoring data system health.

Conocimientos

SQL

Data Systems Optimization

Communication

Real-time Analytics

Cloud Infrastructure

Educación

BA / BS degree or equivalent practical experience

Herramientas

ClickHouse

Go

Python

Descripción del empleo

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'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 warehous e 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

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.

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LinkedIn Profile

Are you based in the UK, Ireland, Estonia, or Spain (permanent) or available to work as a contractor in Portugal or other Eastern European locations?

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We are currently only accepting applications from candidates located within the areas specified in the job description.

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Voluntary Disclosure of Gender

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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 solid knowledge or hands-on experience with Go or Python?

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Do you have experience with ClickHouse performance internals or any other big data platform? If yes, please specify which one.

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