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Lead Azure Data Engineer

Tenth Revolution Group

City Of London

Hybrid

GBP 60,000 - 80,000

Full time

2 days ago
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Job summary

A dynamic technology firm in London is seeking a Lead Azure Data Engineer to transform financial reporting through cloud engineering and data architecture. You will lead scalable data product design, enhance ETL processes using Azure, and collaborate with cross-functional teams. Ideal candidates should have strong Azure Databricks expertise and finance knowledge. This role offers a competitive rate of £500 per day on a hybrid basis.

Qualifications

  • Expert in Spark (SQL, PySpark), Databricks Workflows.
  • Proven experience in scalable ETL/ELT development.
  • Experience with Data Lake, Blob Storage, and Synapse.

Responsibilities

  • 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.

Skills

Azure Databricks
Data Pipeline Design
Azure Services
Data Governance
Performance Tuning
Cloud Architecture
Finance Domain Knowledge
Data Modelling
Retail Experience
Job description

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

The Role

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.

Key Responsibilities
  • 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
Essential Skills
  • 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
About the Team

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

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