Keboola Logo

Data Solutions Engineer

🇨🇿 Czech Republic - Remote
📊 Data🔵 Mid-level

Job Description

Keboola raised $32M (Central Europe’s largest Series A in 2023) to redefine how companies work with data. Our platform delivers 10x results for customers and now we’re scaling globally to help every data team move faster, think smarter, and build with impact.

We’re looking for a hands-on technical specialist who loves building things that work. As a Data Solutions Engineer at Keboola, you’ll be the person who turns business requirements into working solutions-building POCs, implementing data pipelines, and demonstrating what’s possible on our platform.

You’ll work alongside our Solution Engineering team together with Financial Analytics Consultants and Account Executives, translating what customers need into solutions they can see and touch. If you’re the type who gets energy from making things work rather than just talking about them, this role is for you.

What You’ll Do

  • Build and Deliver
  • Develop proof-of-concept solutions that demonstrate platform capabilities against specific customer requirements
  • Build and configure data pipelines, transformations, and integrations within Keboola
  • Create technical documentation and handoff materials that set customers up for success

Engage and Explain

  • Present your implemented solutions to customer technical teams, walking them through architecture and design decisions
  • Join discovery calls when deep technical discussion is needed—data sources, APIs, integration patterns
  • Translate complex technical concepts for mixed audiences without drowning them in jargon

Collaborate and Improve

  • Partner with Product and Engineering to communicate customer needs and platform gaps
  • Contribute reusable components and templates that make the whole team faster
  • Continuously improve our technical delivery processes

What We’re Looking For

  • Experience: 4+ years in data engineering, analytics engineering, or technical data analyst roles
  • Background: You’ve worked on data teams, at consultancies doing data implementations, or in analytics-focused roles where you built things—not just consumed reports
  • Mindset: You’re a builder. You get satisfaction from making things work. Ambiguity doesn’t paralyze you—it motivates you.

Must-Haves (Non-Negotiable)

  • Data Acumen You have a solid understanding of data modeling and ETL/ELT patterns. You can write complex SQL, design a dimensional model, and spot data quality issues before they become problems. This isn’t theoretical—you’ve done it.
  • Technical Communication You can explain what you’ve built to anyone—from developers to business stakeholders. You demo confidently, answer questions clearly, and know when to go deep versus when to keep it simple.
  • Solution Orientation You don’t wait for perfect specs. When requirements are ambiguous (and they often are), you figure it out. You take ownership and deliver.
  • English Proficiency Professional working proficiency is essential. You’ll lead technical discussions, write documentation, and present demos in English daily. We operate globally—this isn’t optional.

Strong Pluses

  • Python scripting ability for automation and data tasks
  • Hands-on experience with cloud data platforms (Snowflake, BigQuery, Databricks)
  • Familiarity with REST APIs and data integration patterns
  • Understanding of SaaS architecture and deployment models

Nice to Have

  • Experience with BI/visualization tools
  • Previous work in a customer-facing technical role

Compensation

  • Competitive salary + equity package.
  • Budget for education.
  • 25 PTO’s plus 3 sick days.
  • Cool new offices in the heart of Holesovice in Prague. You need to be 3 times a week in the office.
  • No set office hours and flexibility.

Keboola’s Core Values

  • Care, love and respect
  • No BS
  • Get your stuff done and do a bit more
  • Create and innovate
  • Learn!
  • One team

Equal Opportunity Statement

Keboola is an Equal Opportunity Employer. We are committed to fostering an inclusive, equitable, and diverse workplace where everyone, regardless of race, colour, religion, gender, national origin, age, disability, veteran status, genetic information, or any other protected status, is given equal opportunity to thrive.

We value the unique perspectives and experiences of all employees and applicants, and we strive to ensure that all employment decisions are based on merit, qualifications, and business needs.

More About Keboola

Every day, Keboola connects data, systems, and people to do their best work all in one place. Keboola is a hybrid, multi-cloud data platform that reduces data complexity by streamlining and automating processes. Hundreds of innovative companies rely on Keboola to unlock the power of their data, bringing the potential of AI and advanced analytics to life. For more information, visit keboola.com or connect with us on LinkedIn, Twitter, and Facebook.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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