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Senior Data Engineer, AI and Systems Engineering

1 hour, 42 minutes ago
Poland
Full-time
Lead
Data Engineer
Software Development
Apache Spark Databricks Oracle Python SQL
Apply Now
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007
View All Jobs 89

Description

  • Design and build scalable data pipelines using Databricks and Spark to ingest, transform, and unify data from multiple enterprise systems.
  • Develop and maintain medallion architecture data models to create reliable and performant golden record datasets.
  • Implement data normalization, mapping, and entity resolution techniques to unify asset data across disparate systems.
  • Build data workflows to detect and surface Shadow IT across financial, identity, endpoint, and network signals and integrate the results into CMDB systems.
  • Partner with IT, Security, Finance, Procurement, and GRC teams to define and enforce data standards for critical CMDB attributes.
  • Develop and maintain data integrations and APIs to synchronize curated datasets into operational systems such as ServiceNow and Jira Assets.
  • Monitor, troubleshoot, and improve data quality, reliability, and observability across the data platform.
  • Help maintain a stable platform and occasionally participate in on-call support for bugs, outages, and other operational issues.

Requirements

  • 9+ years of experience building and maintaining data pipelines and large-scale data platforms.
  • Strong experience with Databricks, Apache Spark, and SQL for distributed data processing and transformation.
  • Experience designing data models and architectures such as medallion architecture, data lakes, or lakehouse systems.
  • Proficiency in Python or similar programming languages for data engineering and ETL development.
  • Experience integrating data from multiple enterprise systems such as SaaS tools, financial systems, and identity systems.
  • Strong understanding of data quality, data governance, and entity resolution techniques across heterogeneous datasets.
  • Excellent collaboration and communication skills, with experience working cross-functionally with technical and non-technical stakeholders.
  • Experience working with CMDB systems such as Jira Assets or ServiceNow (preferred).
  • Familiarity with identity, security, or IT asset management systems such as Okta, Jamf, or Zscaler (preferred).
  • Experience implementing cost-optimized data processing strategies in cloud environments (preferred).
  • Exposure to financial data systems such as Oracle or Concur and spend analytics use cases (preferred).
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (preferred).

Benefits

  • Poland pay range of 239 700 zł to 324 300 zł PLN.

Interested in this position?

Apply directly on the company website

Apply Now

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