Lead data Migration Consultant

Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Enterprise Data Architect - Oracle Fusion

GDPR Data Architect

Senor / Lead Data Engineer

Head of BI Business Intelligence and Data

AWS Data Engineer (contract)

Data Analyst

Are you experienced in Microsoft Dynamics 365?
 
Have you led data migration projects?
 
Are you looking for a role with a great work-life balance and interesting work?
 
This could be the role for you!

Futures are currently supporting a leading manufacturing company as they transition from Microsoft Dynamics AX to a customized Dynamics 365 Finance and Operations ERP solution. We are seeking a seasoned Data professional with a proven track record in Data Migration and Data Architecture. This is a temporary, fixed-term opportunity estimated to last 12 months.

Data Migration Consultant- Role Overview- D365, Dynamics 365, Data Migration, Data

You will support a leading manufacturer whose products are sold Globely. Working alongside their chosen Microsoft partner and in-house Project Management and Development team, you will take ownership of the Data Migration aspect of this ERP transition.

Data Migration Consultant- Ideal Candidate- D365, Dynamics 365, Data Migration, Data

Proven experience in migrating from Dynamics AX to D365 F&O, ideally on multiple occasions.
Background in the manufacturing or FMCG industries, with an understanding of their unique cultures and challenges.
Methodical and process-oriented, with a keen eye for quality and detail.
Team player with excellent stakeholder management skills.
Data Migration Consultant- Key Responsibilities- D365, Dynamics 365, Data Migration, Data

Collaborate closely with the D365 project manager, team members, and subject matter experts across the business.
Lead and serve as the expert for Data and Migration activities to ensure a successful transition from AX to D365 F&O.
Facilitate workshops to understand requirements and develop data migration solutions.
Manage end-to-end data migration activities for the project duration.
Data Migration Consultant- Key Skills- D365, Dynamics 365, Data Migration, Data

Successful migration experience from AX2012 to Dynamics 365 F&O.
Passion for data and data migration.
Extensive use and knowledge of Microsoft data applications stack.
In-depth knowledge of AX, D365, Azure, SQL server, and queries.
Strong understanding of leading databases and design best practices.
Excellent requirements gathering skills, delivering both current and future-state solutions.
Self-motivated with critical thinking, analysis, and problem-solving abilities.
Solid communication and interpersonal skills, enabling effective collaboration.
Ability to set and meet tight deadlines efficiently.
5+ years of AX/D365 data knowledge and migration experience.
Advantageous: 5 years of experience in large enterprises (£60M or greater).
Ability to commute regularly to Rochdale
Does this sound like you? Apply now for more information

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.