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- Tasks: Lead data mapping for a greenfield project, aligning legacy systems with new platforms.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Competitive day rate, flexible working arrangements, and opportunities for professional growth.
- Why this job: Make a real impact by transforming decades of legacy data into actionable insights.
- Qualifications: Experience in data mapping, strong analytical skills, and stakeholder management.
- Other info: Collaborative environment with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Overview: Data Mapping Engineer – To define the source and target object modelling and lead the data mapping between source and target systems.
Contract Type: Fixed Term Contract (FTC)
Duration: 12 months
Start Date: Jan 2026
Current day rate and contract type:
Business Context: This is a greenfield data mapping exercise — no validated source-to-target mapping specification currently exists. The role requires designing the object model alignment between legacy platforms (RIBS and Milvis) and the target Avaloq Opus instance, which is still being built out for the CI business unit. The migration is complicated by 40+ years of legacy client, banking, and custody data, requiring strong data modelling and interpretation skills.
Summary: We require someone who has lived and breathed, been hands on in leading and pulling together a data migration mapping specification/document for a wealth migration platform. Usual legacy platform migration to new target platform and the complication that brings with having data that is 40 years old on the legacy side. Mapping spec, object modelling, data modelling experience. Avaloq and wealth management experience would be advantageous. Clear and crisp stakeholder management and the ability to drive a decision.
- Define and document source and target object models and how they align.
- Act as the bridge between raw data sources and actionable insights, ensuring that data is accurately transformed, integrated, and routed to the right destinations.
- Create accurate and easy to understand mapping specification documents for use by developers and for business teams to consume and sign off against.
- Collaborate with IT and business SMEs to define mapping specifications.
- Ensure data integrity and accuracy throughout the mapping process.
- Assist in defect triage and root cause analysis where mappings are deemed to be incorrect.
- Own necessary updates to mapping documents with robust version control and detailed explanation of changes.
- Build and develop relationships with IT and business stakeholders.
- Aid and assist both ETL developers and test teams in their requests for source data extracts from IT team.
- Lead workshops and draw decisions to swift conclusion regarding data mapping and golden source.
- Lead the structural alignment of legacy RIBS and Milvis data models with Avaloq Opus, ensuring conceptual, logical, and physical consistency across platforms.
- Engage with Avaloq platform SMEs to validate assumptions about target data structures, behaviours, constraints, and how new CI business-unit functionality will be built.
- Represent mapping proposals to architecture and business teams, resolving object-model ambiguity and obtaining alignment on the proposed structure before detailed mapping begins.
- Act as the senior mapping authority for the team, providing direction to the incoming junior Data Mapping Analyst and ensuring consistent modelling standards across outputs.
- Work closely with the ETL developer to unblock development work early, clarifying modelling decisions so ETL design is not delayed by mapping uncertainty.
- Manage iterative refinement of models and mapping specifications as the target platform evolves, maintaining full version control and clear rationale for structural decisions.
Required Experience/Skills:
- Experience mapping into non-mature or in-build platforms, where target data structures are evolving and require architectural interpretation.
- Ability to analyse, rationalise, and model poorly structured or inconsistent legacy datasets spanning multiple decades.
- Proven ability to drive structural decisions and achieve stakeholder alignment where multiple interpretations or source-of-truth options exist.
- Comfortable presenting and defending mapping and modelling proposals to architecture, IT, business SMEs, and Avaloq teams.
- Competent SQL user capable of profiling data, validating mapping logic, and supporting defect investigations (not as a developer, but confident enough to interrogate datasets).
Data Mapping Engineer in London employer: Data Inc
Contact Detail:
Data Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Mapping Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills in interviews! Prepare to discuss your experience with data mapping and legacy systems. Bring examples of how you've tackled complex data challenges before, especially if they relate to wealth management or similar fields.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your relevant experience with data modelling and stakeholder management.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Use this opportunity to reiterate your enthusiasm for the role and remind them why you're the perfect fit for their data mapping needs.
We think you need these skills to ace Data Mapping Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Mapping Engineer role. Highlight your experience with data mapping, object modelling, and any relevant legacy systems you've worked with. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this greenfield project. Share specific examples of your past experiences that relate to the challenges we face with 40+ years of legacy data.
Showcase Your Stakeholder Management Skills: Since this role involves clear communication with various stakeholders, make sure to highlight your experience in managing relationships and driving decisions. We love seeing candidates who can bridge the gap between technical and non-technical teams!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the hiring process. Let’s get started on this journey together!
How to prepare for a job interview at Data Inc
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data mapping and modelling. Familiarise yourself with legacy systems like RIBS and Milvis, and be ready to discuss how you would approach the complexities of migrating 40 years of data. This will show that you’re not just knowledgeable but also passionate about the role.
✨Prepare for Stakeholder Scenarios
Since stakeholder management is key in this role, think of examples where you've successfully navigated complex discussions or resolved conflicts. Be prepared to share how you’ve aligned different perspectives on data mapping proposals, as this will demonstrate your ability to drive decisions effectively.
✨Showcase Your Technical Skills
Brush up on your SQL skills and be ready to discuss how you’ve used it to profile data or validate mapping logic in past projects. You might even want to prepare a few scenarios where you had to interrogate datasets to support defect investigations, as this will highlight your analytical capabilities.
✨Demonstrate Your Collaborative Spirit
This role requires collaboration with IT and business SMEs, so think of times when you’ve worked closely with different teams. Be ready to discuss how you’ve led workshops or facilitated discussions to reach swift conclusions on data mapping, showcasing your ability to build relationships and drive consensus.
