Data Engineer

Dropbox

Data Engineer at Dropbox building large, scalable analytics pipelines using modern data technologies. Ideal for those who enjoy creating new solutions without technical debt.

Posted 7/14/2026full-timeRemote • 🇵🇱 PolandMid-LevelSenior💰 PLN 192,100 - PLN 259,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture, data modeling, and data integration, with a strong focus on optimizing data processing systems and visualizations. Proficient in leveraging tools like Databricks for large-scale data analytics and collaborating with cross-functional teams to drive strategic data initiatives.

Highest-signal resume keywords

Spark DevelopmentPython DevelopmentSQL ExperienceData Lake ArchitecturesData Processing Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java DevelopmentC++ DevelopmentScala DevelopmentSchema DesignDimensional Data ModelingMedallion ArchitecturesData Quality FrameworksData IntegrationsData Model DefinitionData Visualization

Soft Skills

Strategic ThinkingCommunication

Tools & Technologies

DatabricksData PipelinesDashboardsData Frameworks

Industry Keywords

Data ArchitectureData InsightsData ArtifactsLarge-Scale ProjectsCross-Functional Collaboration

Tech Stack

Tools & technologies

JavaOpen SourcePythonScalaSparkSQL

About the role

Key responsibilities & impact

Define company data assets (data model)
Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Requirements

What you’ll need

5+ years of Spark, Python, Java, C++, or Scala development experience
5+ years of SQL experience
5+ years of experience with schema design, dimensional data modeling, and medallion architectures
Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
Experience designing, building and maintaining data processing systems

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities