Data Engineer

COREcruitment
City of London
3 months ago
Applications closed

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Data Engineer - AI Analytics and EdTech Developments

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

We’re looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform.

This role will play a key role in enabling seamless data integration, transformation, and reporting across diverse sources. This is a strategic, hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions.

  • Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data.
  • Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs.
  • Develop and optimise ETL / ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting.
  • Modernise and manage databases , ensuring performance optimisation, governance standards, and scalable architecture across regions and environments.
  • Oversee cloud operations and resilience , including usage optimisation, disaster recovery, and data archiving in line with governance and retention policies.
  • Deliver high-quality documentation and collaboration , leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery.
Experience :
  • 6–10 years experience with SQL Server (including T-SQL and performance tuning).
  • Proven background in ETL / ELT design (ideally using Azure Data Factory).
  • Hands on experience with cloud-based data ingestion and transformation (preferably Azure).
  • Familiarity with Azure Medallion architecture or similar layered data models.
  • Integration experience using APIs, SFTP, and file-based systems.
  • Proficient with Power Automate, SharePoint, and Office 365 integrations.
  • Basic C# or PowerShell for automation or custom integration tasks.
  • Experienced in SQL optimization, troubleshooting, and scalability.
  • Cloud certification (Azure Practitioner or similar) is advantageous.


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