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
- 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
- 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.
- 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.
- 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
- 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
Top Skills
What We Do
Keboola is a cloud-based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products in a quick and easy fashion.
Operating and servicing clients for 8 years, we help a wide array of businesses from financial, travel, hospitality, retail and gaming industries, we help them significantly reduce or eliminate:
• Time spent on repetitive maintenance tasks
• Adoption time and learning curves needed for outdated systems
• Drawn-out menial responsibilities which detract from efficiency
Building on knowledge of programming that is available in the market such as SQL, R, Python etc…., we allow clients achieve unparalleled time to value ratio with all Keboola Connection implementations. Majority of our customers are completely self-serving from the inception of their project.
We partner with professional services companies to build the right solutions for our clients. Our Developer partners build apps that seamlessly integrate their services and algorithms into our structure, making functions like predictive analytics and machine learning instantly available to our customers with no integration work required. We cast technology alliances with platforms that help our clients consume the data and insights in the ways most suitable for their particular use cases.
Let us show you how to #DoMoreWithData.
