The Semantic Data Engineer will develop operational data schemas, manage data integration, and optimize queries while ensuring quality and trust in metrics across the organization.
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Semantic Data Engineer
About the Opportunity :
The most strategically critical technical hire on the team. Transforms raw operational data into a trusted, agent-consumable knowledge layer - the difference between an agent that hallucinates metrics and one that answers with full lineage and trust.
What you will do :
▸ Author, maintain, and evolve the schema registry covering all core operational data tables and relationships
▸ Build and govern the domain glossary: KPI definitions, filter syntax, entity relationships, and calculation logic
▸ Own the NL-to-SQL pipeline: accuracy benchmarking, query validation, dry-run testing, and trust scoring
▸ Design and deploy the Semantic Metric Layer as an MCP server for consistent cross-agent metric resolution
▸ Manage cloud data warehouse integration, query optimisation, and data residency governance
▸ Own the BI tool MCP server and its integration with the agent orchestration and streaming layer
▸ Maintain data contracts between the platform and consuming agents - manage schema change processes end-to-end
The Skills you bring:
• Advanced SQL and cloud data warehouse expertise - BigQuery, Snowflake, Databricks, or Redshift• Semantic layer and data modelling: dbt, LookML, Cube.dev, or equivalent metric-layer tooling• MCP (Model Context Protocol): server implementation, tool and resource primitive design patterns• NL-to-SQL techniques: text-to-SQL models, schema linking, query correction, and validation loop design• Python data engineering: pandas, SQLAlchemy, and pipeline orchestration (Airflow, Prefect, or equivalent)• BI tool integration (Apache Superset, Looker, Power BI) at the API and embedded level• Telecom domain knowledge - network KPIs, operational data schemas, CDR/EDR structures (strongly desirable)
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Noida
Req ID: 784073
Semantic Data Engineer
About the Opportunity :
The most strategically critical technical hire on the team. Transforms raw operational data into a trusted, agent-consumable knowledge layer - the difference between an agent that hallucinates metrics and one that answers with full lineage and trust.
What you will do :
▸ Author, maintain, and evolve the schema registry covering all core operational data tables and relationships
▸ Build and govern the domain glossary: KPI definitions, filter syntax, entity relationships, and calculation logic
▸ Own the NL-to-SQL pipeline: accuracy benchmarking, query validation, dry-run testing, and trust scoring
▸ Design and deploy the Semantic Metric Layer as an MCP server for consistent cross-agent metric resolution
▸ Manage cloud data warehouse integration, query optimisation, and data residency governance
▸ Own the BI tool MCP server and its integration with the agent orchestration and streaming layer
▸ Maintain data contracts between the platform and consuming agents - manage schema change processes end-to-end
The Skills you bring:
• Advanced SQL and cloud data warehouse expertise - BigQuery, Snowflake, Databricks, or Redshift• Semantic layer and data modelling: dbt, LookML, Cube.dev, or equivalent metric-layer tooling• MCP (Model Context Protocol): server implementation, tool and resource primitive design patterns• NL-to-SQL techniques: text-to-SQL models, schema linking, query correction, and validation loop design• Python data engineering: pandas, SQLAlchemy, and pipeline orchestration (Airflow, Prefect, or equivalent)• BI tool integration (Apache Superset, Looker, Power BI) at the API and embedded level• Telecom domain knowledge - network KPIs, operational data schemas, CDR/EDR structures (strongly desirable)
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Noida
Req ID: 784073
Ericsson Pune, Mahārāshtra, IND Office
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Established IT zone near Viman Nagar with good airport access. Surrounded by cafes, housing and retail, offering a comfortable city lifestyle with a slightly slower pace than larger metros.
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