Data Solutions Engineer

Keboola

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profile Job Location:

Prague - Czech Republic

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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

Were looking for a hands-on technical specialist who loves building things that work. As a Data Solutions Engineer at Keboola youll be the person who turns business requirements into working solutions-building POCs implementing data pipelines and demonstrating whats possible on our platform.

Youll 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 youre the type who gets energy from making things work rather than just talking about them this role is for you.

What Youll 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 neededdata 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 Were Looking For

    • Experience: 4 years in data engineering analytics engineering or technical data analyst roles
    • Background: Youve worked on data teams at consultancies doing data implementations or in analytics-focused roles where you built thingsnot just consumed reports
    • Mindset: Youre a builder. You get satisfaction from making things work. Ambiguity doesnt paralyze youit 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 isnt theoreticalyouve done it.
    • Technical Communication You can explain what youve built to anyonefrom 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 dont 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. Youll lead technical discussions write documentation and present demos in English daily. We operate globallythis isnt 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 PTOs plus 3 sick days.
    • Cool new offices in the heart of Holesovice in need to be 3 times a week in the office.
    • No set office hours and flexibility.

Keboolas 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 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.

Required Experience:

IC

Keboola raised $32M (Central Europes largest Series A in 2023) to redefine how companies work with data. Our platform delivers 10x results for customers and now were scaling globally to help every data team move faster think smarter and build with impact.Were looking for a hands-on technical special...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Keboola: All-in-one data platform, 700+ integrations, AI tools. Empower your teams with self-serviced data reports. Start your free project today.

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