Location: Remote
As a Senior Data Engineer on the CMDB and Asset Intelligence platform, you will play a key role in building a unified data foundation that powers asset visibility, cost optimization, and security insights across the organization.
You will design and build scalable data pipelines and data models that integrate data from systems such as ServiceNow, Okta, Oracle, and Jamf into a centralized Lakehouse architecture. You will work across structured and semi-structured data to enable accurate and timely insights for IT, Security and Finance stakeholders.
Your expertise:
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 (e.g., SaaS tools, financial systems, 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
Will definitely be a plus:
Experience working with CMDB systems such as Jira Assets or ServiceNow
Familiarity with identity, security or IT asset management systems (e.g., Okta, Jamf, Zscaler)
Experience implementing cost-optimized data processing strategies in cloud environments
Exposure to financial data systems (e.g., Oracle, Concur) and spend analytics use cases
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
You will be involved into:
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 (Bronze, Silver , Gold) data models to create reliable and performant
“Golden Record” datasets
Implement data normalization, mapping, and entity resolution techniques (e.g., fuzzy matching, XREF tables) 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 results into CMDB systems
Partner with IT , Security, Finance, Procurement, and GRC teams to define and enforce data standards for critical
CMDB attributes (e.g., ownership, approval status, lifecycle)
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
About the company and project:
ZONE3000 is a 2400+ people family that forms a new cultural code in the software development business. For 25 years we have been focusing on the highest quality of projects and empowering people to think big and make a difference. We are looking for talents who want to create and improve technological solutions for tomorrow and make things as best possible.
ZONE3000 is looking for a Senior Data Engineer, AI and Systems Engineering for our client — a leading global collaboration platform that is transforming the way people work together, from the smallest businesses to the largest enterprises. With over 500 million registered users across more than 180 countries, its products are designed to create a more enlightened way of working.
