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.