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Data Engineer jobs in United Kingdom
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Data Engineer (PySpark) - Leading UAE Bank, Cloudera Data Platform Expert
GSSTech Group
Dubai
On-site
AED 120,000 - 200,000
18 days ago
Discover more opportunities than anywhere else. Find more jobs nowInformatica BDM Data Engineer - for a leading UAE bank
GSSTech Group
United Arab Emirates
On-site
AED 120,000 - 200,000
23 days ago
Informatica BDM Data Engineer - for a leading UAE bank
GSSTech Group
Dubai
On-site
AED 150,000 - 200,000
25 days ago
Connect with headhunters to apply for similar jobsFull Stack Data Engineer - Intern at Bayut | dubizzle United Arab Emirates
Bayut | dubizzle
United Arab Emirates
On-site
AED 120,000 - 200,000
27 days ago
Senior AWS Data Engineer / Data Platform Engineer
NorthBay, LLC
Dubai
On-site
AED 120,000 - 160,000
16 days ago
Big Data Engineer - Government Sector - 1
Apt Resources
Abu Dhabi
On-site
AED 120,000 - 200,000
22 days ago
Senior Data Engineer: Lakehouse & Visualization Architect
RecruitMe Plus
Abu Dhabi
On-site
AED 120,000 - 200,000
18 days ago
Senior PySpark Data Engineer for CDP ETL Pipelines
GSSTech Group
Dubai
On-site
AED 120,000 - 200,000
18 days ago
Senior DevOps Engineer - Data Store
SailPoint
United Arab Emirates
Hybrid
AED 120,000 - 200,000
28 days ago
Data Engineer — GenAI Pipelines & Data Platforms
Property Finder
Dubai
On-site
AED 120,000 - 160,000
23 days ago
Senior GenAI Engineer: Data-Driven AI in Production
Delivery Hero SE
Dubai
On-site
AED 250,000 - 350,000
29 days ago
Staff Engineer (Data Modeler)
Nagarro
Abu Dhabi
On-site
AED 120,000 - 200,000
Full time
15 days ago
Job summary
A multinational technology consulting firm in Abu Dhabi is seeking a skilled data modeler with expertise in developing semantic layers and knowledge graphs. The ideal candidate will design and implement models within a Lakehouse architecture, ensuring configurations align with best practices. The position requires excellent analytical skills and the ability to communicate effectively with teams. Interested candidates should be ready to work in a full-time position without remote options.
Qualifications
- Strong experience in data modeling for Lakehouse or data warehouse environments.
- Proficiency in semantic layer design, ontologies, and knowledge graph development.
- Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.
Responsibilities
- Design conceptual, logical, and physical data models for Medallion architecture.
- Implement dimensional modeling for analytical layers.
- Build and maintain knowledge graphs for data discovery.
Skills
Data modeling for Lakehouse
Semantic layer design
Knowledge graph development
Strong analytical thinking
Excellent communication skills
Tools
AWS Glue
Apache Iceberg
ERwin PowerDesigner
RDF OWL Neo4j
Job description
Must have Skills : AWS Glue Metadata MGT tool Data modeling tools Semantic layer tools Knowledge graph frameworks
Key Responsibilities
- Data Modeling
- Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).
- Implement dimensional modeling for analytical layers.
- Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.
- Define and enforce naming conventions, metadata standards, and maintain model documentation.
- Semantic Layer & Ontologies
- Design and implement a semantic layer to enable business-friendly data access and self-service analytics.
- Work with advanced AI-tooling for semantic layer deployment and integration.
- Develop and maintain ontologies and taxonomies to standardize business concepts across domains.
- Ensure semantic consistency across data products and reporting layers.
- Knowledge Graph Development
- Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.
- Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g. OpenMetadata).
- Collaborate with architects and platform engineers to ensure graph scalability and performance.
- Collaboration & Governance
- Work closely with Data Architects to align models with Lakehouse design principles.
- Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.
- Collaborate with Data Quality teams to embed validation rules and ensure compliance.
- Optimization & Standards
- Ensure models support schema evolution, partitioning strategies, and performance optimization.
- Create reusable modeling templates and best practices for Data Factory squads.
Required Skills & Experience
- Technical Expertise
- Strong experience in data modeling for Lakehouse or data warehouse environments.
- Proficiency in semantic layer design, ontologies, and knowledge graph development.
- Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.
- Understanding of metadata management and lineage tools (OpenMetadata preferred).
- Tools & Technologies
- Data modeling tools (ERwin PowerDesigner or similar).
- Semantic layer tools (e.g., Zaimler AtScale or equivalent).
- Knowledge graph frameworks (e.g., RDF OWL Neo4j or similar).
- Soft Skills
- Strong analytical and conceptual thinking.
- Excellent communication and stakeholder engagement abilities.
- Ability to work in a fast-paced environment and deliver aggressive migration targets.
- Strong collaboration and communication skills.
- Work with Jira and agile way of working.
Remote Work
No
Employment Type
Full-time
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.