🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Join our Team Semantic Data Engineer About the Prospect : 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) All academic credentials must be from recognized and accredited institutions and are further subject to verification Why join Ericsson At Ericsson, youll have an outstanding prospect. The chance to .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.