National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Azure Data Engineer

Kinetech
Milton Keynes
3 weeks ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Azure Data Engineer - UK remote

Data Engineer/Azure/Databricks

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.