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Lead Data Engineer

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360 Resourcing Solutions

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Location:
United Kingdom

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

75000.00 GBP / Year
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Job Description:

We are looking for a Data Warehouse Engineering Lead to develop and deploy data products through our Azure Analytics Platform. You will work closely with the Data Warehouse team, Data Architect, and senior stakeholders across the business. It’s an exciting time to join us as we’re delivering our Data Strategy to support the transformation of our business through innovation & technology.

Job Responsibility:

  • Provide expertise and guidance to your direct reports ensuring that the team can deliver a vital Data Service to the business
  • Ensure our Data Governance principals are implemented and adhered to and to be an advocate of best practice in Data Product delivery
  • Build and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
  • Work with key stakeholders including Senior management, Developers, Data, and Project teams to assist with data-related technical issues and support their data infrastructure needs
  • Develop and maintain a group-wide Data Estate incorporating a Data Lake and Data Warehouse using best practice warehouse methodologies
  • Define data integration and ingestion strategies to ensure smooth and efficient data flow from various sources into the data lake and warehouse
  • Develop data modelling and schema design to support efficient data storage, retrieval, and analysis

Requirements:

  • Azure Data Factory
  • Azure Databricks (including Unity Catalog & Notebooks)
  • Azure Functions
  • Azure Apps
  • Azure DevOps Pipelines
  • dbt (Data Build Tool) for scalable modelling and transformation in cloud data platforms
  • PySpark
  • PySQL
  • T-SQL
  • MS SQL
  • Stored Procedures
  • MS SSIS
  • WebHooks
  • RESTful APIs
  • automated pipelines for batch and streaming data
  • Data Modelling
  • Data Analysis
  • Data Quality frameworks
  • dimensional modelling
  • Proven experience in team management, mentoring cross-training initiatives, and coordinating with diverse business stakeholders
  • Data Privacy (GDPR, CCPA)
  • Metadata management
  • data discovery
  • data security (RBAC, CLS, RLS)
  • Project Management and organisational skills
What we offer:
  • Remote Working Options
  • 25 Days Holiday (Plus 8 Days Public Holiday)
  • Option To Buy Or Sell Holiday
  • Company Pension
  • Life Assurance
  • Enhanced Maternity, Paternity & Adoption Pay
  • Free Conveyancing Legals
  • GP 24-hour service
  • Retail Discounts

Additional Information:

Job Posted:
January 11, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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