At a Glance
- Tasks: Help clients transition to modern wealth platforms by managing data migration projects.
- Company: Join a global consultancy team focused on technology transformation in investment management.
- Benefits: Enjoy hybrid working, a competitive salary, and structured learning opportunities.
- Why this job: Make a real impact on client outcomes while working on high-profile transformation projects.
- Qualifications: 1-4 years in consulting or data migration; strong data structure knowledge required.
- Other info: Work with top-tier clients and gain exposure to leading wealth management platforms.
The predicted salary is between 36000 - 60000 £ per year.
A specialist consultancy team within a global professional services firm is seeking a Consultant to join their Investment Management & Wealth (IM&W) practice. The team focuses on end-to-end technology transformation projects for clients across the wealth management, savings, and retirement sectors. This role provides the opportunity to work on multi-year programmes at the intersection of business operations and data strategy.
As a Consultant – Data Migration, you will play a key role in helping clients successfully transition from legacy systems to modern wealth platforms. You will work closely with client and vendor teams to support the data aspects of large-scale technology transformation programmes. From handling data sets and validating data constructs to enabling seamless migrations, your work will directly impact business operations and client outcomes.
Key Responsibilities
- Handle large datasets and ensure integrity throughout the migration lifecycle.
- Support ETL processes and prepare data for transition into modern wealth platforms.
- Liaise with client and vendor teams to understand data structures and define mapping logic.
- Interpret client data to identify gaps and suggest improvement areas.
- Provide technical support and documentation for data migration processes.
- Collaborate with internal consultants and external stakeholders to ensure successful delivery.
Skills & Experience
Essential:
- 1–4 years of experience in consulting, data migration, or transformation projects.
- Strong understanding of data structures within a wealth management or financial context.
- Familiarity with ETL processes and data validation techniques.
- Effective communicator with the ability to manage stakeholders and explain data insights clearly.
Desirable:
- Exposure to leading wealth management platforms such as FNZ, SS&C, Avaloq, GBST.
- Experience with data migration or software delivery tooling (e.g. JIRA).
- Background in consultancy or advisory firms supporting financial services.
Benefits
- Salary up to £53,000
- Hybrid working – 2 days per week in Edinburgh office
- Structured learning and development in a globally recognised firm
- Exposure to high-impact transformation projects with tier-one clients
How to Apply
Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Data Migration Consultant employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Migration Consultant
✨Tip Number 1
Familiarise yourself with the specific wealth management platforms mentioned in the job description, such as FNZ and Avaloq. Understanding their functionalities and data structures will give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the data migration and financial services sectors. Attend relevant meetups or webinars to connect with industry insiders who might provide insights or even referrals for the role.
✨Tip Number 3
Brush up on your ETL processes and data validation techniques. Being able to discuss these topics confidently will demonstrate your technical expertise and readiness for the challenges of the role.
✨Tip Number 4
Prepare to showcase your communication skills by practising how to explain complex data insights clearly. This is crucial for managing stakeholders effectively, which is a key part of the consultant role.
We think you need these skills to ace Data Migration Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data migration and transformation projects. Emphasise your understanding of data structures within the wealth management context, as well as any familiarity with ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology transformation in the financial services sector. Mention specific experiences where you've successfully handled large datasets or collaborated with client teams to enhance data integrity.
Highlight Key Skills: In your application, clearly outline your skills related to data validation techniques and stakeholder management. Use examples to demonstrate how you've effectively communicated data insights in previous roles.
Follow Application Instructions: Ensure you send your application to the specified contact, Mohammed Buhariwala at Harnham, using the Apply link provided. Double-check that all documents are attached and formatted correctly before submission.
How to prepare for a job interview at Harnham
✨Understand the Data Landscape
Familiarise yourself with data structures relevant to wealth management. Be prepared to discuss how you have handled large datasets in previous roles and the importance of data integrity during migrations.
✨Showcase Your ETL Knowledge
Since the role involves supporting ETL processes, be ready to explain your experience with these techniques. Highlight any specific tools or methodologies you've used to prepare data for transitions.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex data insights in simple terms, as you'll need to liaise with both technical and non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've identified gaps in data and how you proposed improvements, especially in a consulting context.