Azure Data Engineer

Azure Data Engineer - Migrations

Largely remote - 1 day per month in the office

Salary up to £55,000 + Bonus + Benefits

We are looking for a hands-onData Engineer / Migration Engineerto support the migration of CRM data from various OpCo's, using a variety of legacy source systems, into theMicrosoft Dynamics 365 Customer Engagement (CE)platform.

You will be responsible forextracting, transforming, cleansing, and loading data, ensuring quality and consistency throughout the process.

This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft / Azure data tools, particularly in a CRM or Dynamics / D365 environment.

In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using Azure Synapse or Microsoft Fabric.

Key Responsibilities

• As the sole Data Engineer for this programme of work, performETL (Extract, Transform, Load)processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service).
• Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms.
• Map source data to Dynamics 365 CE entities such as Accounts, Contacts, Leads, Cases, and Opportunities.
• Cleanse, deduplicate, and transform data to align with target data models and business rules.
• Build, test, and maintain data pipelines to support data movement.
• Conduct data profiling and validation to identify quality issues or transformation requirements.
• Support test migrations and assist with reconciliation and defect resolution during trial runs.
• Collaborate with functional consultants and data owners to refine mappings and resolve data discrepancies.

About You

• Significant Data Migration and Data Engineering experience, ideally with some prior exposure to aDynamics 365 CE(Sales, Customer Service, Field Service) orMicrosoft Dataverseenvironment.
• Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics).
• Strong hands-on experience withETL toolssuch asAzure Data Factory,Power Platform Dataflows,SSIS, orKingswaySoft.
• Solid skills in SQL, T-SQL and relational databases
• Experience of Azure Fabric and its use in Data engineering and Data management.
• A high degree of proficiency with tools like Terraform, PySpark, and Databricks.
• Understanding of data migration concepts, including mapping, transformation, cleansing, and validation.
• Strong attention to detail and problem-solving ability.
• Must be comfortable in a sole / senior / responsible level role, able to work with autonemy.

This is a great opportunity to make a real impact, working in a collaborative environment where your ideas will help shape the future of data within the business.

Ready to take the next step? Please apply today for immediate CV review.

Kinetech is acting as a recruiter in relation to this hire. See our website for more information about how we handle your data.