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Day 103
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Senior Data Engineer
Location not stated
Open 3 months, first seen by us 103 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contractor
From the employer’s posting
What you’ll work on
Full postingDesign and maintain data pipelines and lakehouse architectures on Azure Databricks
Build and maintain knowledge graphs using RDF and OWL standards
Design and implement Neo4j graph database solutions on Azure
Implement data governance, access control and lineage with Unity Catalog
Develop ontologies and taxonomies for consistent data interpretation
From the employer’s posting
Design, build, and maintain scalable data pipelines and lakehouse architectures using Azure Databricks
Build and maintain knowledge graphs using RDF (Resource Description Framework) and OWL (Web Ontology Language) standards
Design and implement graph database solutions using Neo4j to support relationship-driven data use cases, deployed on Azure infrastructure
Implement and manage data governance, access control, and lineage using Unity Catalog, aligned with Microsoft Purview
Develop ontologies and taxonomies to enable consistent data interpretation across systems
What you’ll bring
All qualificationsPreferred experience
- Experience with SPARQL query language for RDF data
- Familiarity with additional Azure data services — Azure SQL Database, Microsoft Fabric, Azure Event Hubs
- Experience integrating semantic/graph data with AI, ML, or GenAI applications, particularly via Azure OpenAI Service
- Knowledge of metadata management and enterprise data governance frameworks, including Microsoft Purview
Qualification wording
Experience with SPARQL query language for RDF data
Familiarity with additional Azure data services — Azure SQL Database, Microsoft Fabric, Azure Event Hubs
Experience integrating semantic/graph data with AI, ML, or GenAI applications, particularly via Azure OpenAI Service
Knowledge of metadata management and enterprise data governance frameworks, including Microsoft Purview
Posting record
Report an errorOpen 3 monthsWe first saw this posting 103 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 24, 2026103 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Blanc Labs is hiring
5 open jobs
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- Azure
- Databricks
- Delta Lake
- Neo4j
Where the posting names them
- Proficiency in diagramming and process mapping tools such as Visio and Miro - Strong SQL skills and experience with Python or Scala for data engineering tasks - Solid understanding of data modeling principles (relational, dimensional, and graph-based)
- Experience with SPARQL query language for RDF data - Familiarity with additional Azure data services — Azure SQL Database, Microsoft Fabric, Azure Event Hubs - Experience integrating semantic/graph data with AI, ML, or GenAI applications, particularly via Azure OpenAI Service
Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth. We are seeking a highly skilled Senior Data Engineer with expertise in modern data platforms and semantic technologies to design and build scalable data solutions that power enterprise analytics and knowledge representation. This role sits within a Microsoft Azure environment, and combines strong data engineering fundamentals with specialized experience in graph databases, ontologies, and semantic modeling to help the organization structure and connect complex data across domains. What You'll be Doing:
What You'll be Doing: - Design, build, and maintain scalable data pipelines and lakehouse architectures using Azure Databricks - Implement and manage data governance, access control, and lineage using Unity Catalog, aligned with Microsoft Purview
- Build and maintain knowledge graphs using RDF (Resource Description Framework) and OWL (Web Ontology Language) standards - Design and implement graph database solutions using Neo4j to support relationship-driven data use cases, deployed on Azure infrastructure - Develop ontologies and taxonomies to enable consistent data interpretation across systems
- Translate business processes and data relationships into architecture diagrams using Visio and Miro - Collaborate with data architects, analysts, and business stakeholders to align data models with organizational needs across the Microsoft data ecosystem (Azure Synapse, Microsoft Fabric) - Optimize data pipelines for performance, reliability, and scalability using Azure Data Factory and Databricks Workflows
- Collaborate with data architects, analysts, and business stakeholders to align data models with organizational needs across the Microsoft data ecosystem (Azure Synapse, Microsoft Fabric) - Optimize data pipelines for performance, reliability, and scalability using Azure Data Factory and Databricks Workflows - Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake
- Optimize data pipelines for performance, reliability, and scalability using Azure Data Factory and Databricks Workflows - Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake - Support integration of semantic and graph-based data models with downstream analytics and AI/ML applications, including Azure OpenAI Service and Azure AI Studio where applicable
- Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake - Support integration of semantic and graph-based data models with downstream analytics and AI/ML applications, including Azure OpenAI Service and Azure AI Studio where applicable - Document data architecture, pipelines, and semantic models for cross-team visibility and maintainability
- 8+ years of experience in data engineering, with a strong foundation in building production-grade data pipelines - Required: Hands-on experience with the Microsoft Azure data stack — Azure Databricks, Azure Synapse Analytics, and/or Azure Data Factory in production environments - Hands-on experience with Databricks for data processing, transformation, and analytics workloads
- Familiarity with additional Azure data services — Azure SQL Database, Microsoft Fabric, Azure Event Hubs - Experience integrating semantic/graph data with AI, ML, or GenAI applications, particularly via Azure OpenAI Service - Knowledge of metadata management and enterprise data governance frameworks, including Microsoft Purview
- Knowledge of metadata management and enterprise data governance frameworks, including Microsoft Purview - Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) considered a strong plus - Experience working in Agile/Scrum environments
- Required: Hands-on experience with the Microsoft Azure data stack — Azure Databricks, Azure Synapse Analytics, and/or Azure Data Factory in production environments - Hands-on experience with Databricks for data processing, transformation, and analytics workloads - Experience implementing data governance and cataloging using Unity Catalog
- Practical experience with RDF and OWL for knowledge representation and ontology development - Hands-on experience with Neo4j or other graph database technologies - Experience designing semantic models and understanding of graph theory concepts
Your next step
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
We are seeking a highly skilled Senior Data Engineer with expertise in modern data platforms and semantic technologies to design and build scalable data solutions that power enterprise analytics and knowledge representation. This role sits within a Microsoft Azure environment, and combines strong data engineering fundamentals with specialized experience in graph databases, ontologies, and semantic modeling to help the organization structure and connect complex data across domains.
What You'll be Doing:
- Design, build, and maintain scalable data pipelines and lakehouse architectures using Azure Databricks
- Implement and manage data governance, access control, and lineage using Unity Catalog, aligned with Microsoft Purview
- Design and develop semantic data models to represent complex business domains and relationships
- Build and maintain knowledge graphs using RDF (Resource Description Framework) and OWL (Web Ontology Language) standards
- Design and implement graph database solutions using Neo4j to support relationship-driven data use cases, deployed on Azure infrastructure
- Develop ontologies and taxonomies to enable consistent data interpretation across systems
- Translate business processes and data relationships into architecture diagrams using Visio and Miro
- Collaborate with data architects, analysts, and business stakeholders to align data models with organizational needs across the Microsoft data ecosystem (Azure Synapse, Microsoft Fabric)
- Optimize data pipelines for performance, reliability, and scalability using Azure Data Factory and Databricks Workflows
- Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake
- Support integration of semantic and graph-based data models with downstream analytics and AI/ML applications, including Azure OpenAI Service and Azure AI Studio where applicable
- Document data architecture, pipelines, and semantic models for cross-team visibility and maintainability
- 8+ years of experience in data engineering, with a strong foundation in building production-grade data pipelines
- Required: Hands-on experience with the Microsoft Azure data stack — Azure Databricks, Azure Synapse Analytics, and/or Azure Data Factory in production environments
- Hands-on experience with Databricks for data processing, transformation, and analytics workloads
- Experience implementing data governance and cataloging using Unity Catalog
- Practical experience with RDF and OWL for knowledge representation and ontology development
- Hands-on experience with Neo4j or other graph database technologies
- Experience designing semantic models and understanding of graph theory concepts
- Proficiency in diagramming and process mapping tools such as Visio and Miro
- Strong SQL skills and experience with Python or Scala for data engineering tasks
- Solid understanding of data modeling principles (relational, dimensional, and graph-based)
- Strong analytical and problem-solving skills, with the ability to translate complex data relationships into clear architectural designs
- Excellent communication skills, with the ability to work across technical and business teams
Preferred Qualifications:
- Experience with SPARQL query language for RDF data
- Familiarity with additional Azure data services — Azure SQL Database, Microsoft Fabric, Azure Event Hubs
- Experience integrating semantic/graph data with AI, ML, or GenAI applications, particularly via Azure OpenAI Service
- Knowledge of metadata management and enterprise data governance frameworks, including Microsoft Purview
- Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) considered a strong plus
- Experience working in Agile/Scrum environments
Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com.
Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
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