Data Solutions Engineer
Keboola
full-time
Posted on:
Location Type: Hybrid
Location: Prague • Czech
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About the role
- 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
Requirements
- 4+ years in data engineering, analytics engineering, or technical data analyst roles
- You've worked on data teams, at consultancies doing data implementations, or in analytics-focused roles where you built things—not just consumed reports
- 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.
- 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
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringanalytics engineeringtechnical data analysisdata modelingETLELTSQLPythondata qualitycloud data platforms
Soft Skills
technical communicationsolution orientationownershippresentation skillsadaptabilitycollaborationcustomer engagementproblem-solvingclarity in explanationmotivation in ambiguity