Machine Learning Engineer jobs in United Arab Emirates
Senior Data Scientist – CLV & Next Best Action
PlayStation Network
Operations / Data Analyst
Taylor James Resourcing
Discover more opportunities than anywhere else. Find more jobs nowBusiness Process Analyst – IT
Lawes Insurance Recruitment
Claims / Underwriting Data Analyst.
Taylor James Resourcing
Connect with headhunters to apply for similar jobsHybrid Claims & Underwriting Data Analyst - Analytics
Taylor James Resourcing
Data Scientist - Placement Year
Bayerische Motoren Werke Aktiengesellschaft
Master Data Analyst - SAP Ariba
Kelda Group Limited 0000411940 - Kelda Group Limited
Lead Azure Data Engineer
Job summary
A leading data consultancy is seeking a Lead Azure Data Engineer to shape the future of financial reporting through innovative cloud engineering. This hybrid role based in Central London requires expertise in Azure Databricks and effective collaboration with BI and analytics teams. Ideal candidates will have a strong background in data product design, governance, and financial systems.
Qualifications
- Expertise in Azure Databricks and Spark technologies.
- Experience in scalable ETL/ELT pipeline development.
- Strong understanding of data governance and cloud architecture.
Responsibilities
- Lead design and delivery of scalable data products.
- Build and enhance ETL/ELT pipelines in Azure Databricks.
- Collaborate with cross-functional teams on data solutions.
Skills
Contract Opportunity: Lead Azure Data Engineer (Remote - £500/day Outside IR35)
We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting through cutting-edge cloud engineering and data architecture.
Location: Central London (UK-based candidates only)
Rate: £500/day
IR35 Status: Outside IR35
Start Date: ASAP - Interviews next week
Duration: 6 months with potential for extension
You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure.
- Build and enhance ETL/ELT pipelines in Azure Databricks
- Develop facts and dimensions for financial reporting
- Collaborate with cross-functional teams to deliver robust data solutions
- Optimize data workflows for performance and cost-efficiency
- Implement governance and security using Unity Catalog
- Drive automation and CI/CD practices across the data platform
- Explore new technologies to improve data ingestion and self-service
- Azure Databricks: Expert in Spark (SQL, PySpark), Databricks Workflows
- Data Pipeline Design: Proven experience in scalable ETL/ELT development
- Azure Services: Data Lake, Blob Storage, Synapse
- Data Governance: Unity Catalog, access control, metadata management
- Performance Tuning: Partitioning, caching, Spark job optimization
- Cloud Architecture: Infrastructure-as-code, monitoring, automation
- Finance Domain Knowledge: Experience with financial systems and reporting
- Data Modelling: Kimball methodology, star schemas
- Retail Experience: Preferred but not essential
We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to-end on solutions, share knowledge, and support each other's growth. Our culture values curiosity, innovation, and continuous learning.
Interested? We have limited interview slots next week and aim to fill this role by the end of the month. Please send me a copy of your CV if you meet the requirements
* 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.