Senior/Principal Data Modeller

Harnham - Data & Analytics Recruitment
London, United Kingdom
Today
£70,000 – £90,000 pa

Salary

£70,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

Exposure to major financial services organisations Supportive culture with ongoing learning Strong data community
Share
Save job
Create job alert

Senior Data Modeller / Principal Data Modeller

London - Hybrid (3 Days in Office)

Salary: Up to £90,000

This is an exciting opportunity to join a high-growth consultancy environment where you will shape data modelling standards, influence enterprise-level design, and work directly with senior stakeholders across complex financial services programmes. If you enjoy combining hands-on modelling with broader architectural thinking, this role offers significant impact and clear progression.

The Company

They are a well-established consulting firm with a strong footprint across financial services and energy. Their data capability exceeds 300 specialists, and their Data Architecture function is known for delivering high-quality modelling, strategy and metadata solutions across large-scale transformation programmes. They operate in a collaborative, low-ego environment where expertise is valued and career progression is structured and transparent.

The Role

As a Senior or Principal Data Modeller, you will:

  • Lead and deliver hands-on data modelling across complex programmes.
  • Design relational and dimensional models for transactional, analytical and enterprise environments.
  • Define modelling frameworks, standards, and guardrails for large transformations such as migrations.
  • Shape and document metadata, lineage, catalogues and source-to-target mapping.
  • Contribute to ETL design and data movement patterns across platforms.
  • Work with JSON, XML, Parquet and other semi-structured formats used across financial systems.
  • Engage senior stakeholders and guide best practice within multidisciplinary teams.
  • Principal level: provide thought leadership, support revenue activity and lead client-facing presentations.

Your Skills and Experience

You will be a strong fit if you can demonstrate:

  • Deep commercial experience in hands-on data modelling (relational and dimensional).
  • Ability to design logical and physical data models and explain modelling decisions to stakeholders.
  • Experience working in consulting, financial services, or energy environments.
  • Capability in ERWin or similar modelling tools such as Sparx, RSA, Visio or related platforms.
  • Understanding of ETL flows, metadata management and how data is structured for AI, ML, BI and analytics use cases.
  • Comfort operating in client-facing settings and contributing to delivery outcomes.
  • Principal level: additional experience in leadership, client development or shaping solution direction.

What They Offer

  • Exposure to major financial services organisations and high-impact data programmes.
  • Supportive culture with ongoing learning and a strong data community.

How to Apply

If you are interested in this Senior or Principal Data Modeller position, please apply with your CV and we will be in touch soon.

Related Jobs

View all jobs

Senior Data Scientist – Statistical Genetics

Relation Therapeutics London, United Kingdom
Permanent

Principal Data Scientist

Harnham - Data & Analytics Recruitment London, United Kingdom
£100,000 – £125,000 pa Hybrid Clearance Required

Software Engineer (Principal level)

Synthesia London, United Kingdom
Hybrid

Principal Engineer, Data Platforms

Just Eat London, United Kingdom
£100,000 – £150,000 pa Hybrid

Senior Software Engineer, ML Ops

Isomorphic Labs London, United Kingdom
£70,000 – £120,000 pa On-site

Principal Machine Learning Engineer

PhysicsX United Kingdom

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.