About The Role

FDM is a global business and technology consultancy seeking a Data & AI Engineer with 5 years+ commercial experience to join a high-profile team developing innovative AI-powered solutions within a leading global investment bank. This is initially a 6 month contract with very good prospects to extend and will be a hybrid role based in London.

This role sits at the intersection of data engineering, large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced analytics. You'll work on building scalable data platforms that enable AI systems to process, understand and analyse complex datasets, helping users generate deeper insights through intelligent scenario modelling and decision support.

This is an excellent opportunity for an engineer who enjoys solving complex data challenges and wants hands-on experience with some of the most exciting technologies shaping enterprise AI today.

Responsibilities:

Design, build and maintain data ingestion and processing pipelines.
Source, access and integrate data from multiple structured, semi-structured and unstructured sources.
Prepare, transform and structure large volumes of data for analytics and AI-driven applications.
Develop integrations with internal and external REST APIs.
Work extensively with JSON, dictionaries, DataFrames and modern data formats.
Perform data exploration and analysis to understand data quality, structure and relationships.
Support the ingestion, preparation and optimisation of data for AI and LLM-based applications.
Build data solutions that enable efficient retrieval, search and analysis of information.
Contribute to the development of AI-driven analytical and decision-support platforms.
Collaborate closely with engineers, data specialists and business stakeholders to solve complex technical problems.
Support advanced scenario modelling and "what-if" analysis capabilities powered by modern AI technologies.
Stay up to date with emerging trends in data engineering, AI and machine learning.

About You

Data Engineering and Python:

3–5 years' experience in Data Engineering, Software Engineering, AI Engineering or a related technical discipline.
Strong Python development skills.
Proven experience using pandas for data manipulation and analysis.
Good understanding of regular expressions (regex).
Experience working with structured, semi-structured and unstructured datasets.

Data Processing and Analysis:

Strong experience working with JSON, Python dictionaries and modern data structures.
Experience sourcing, accessing, analysing and interrogating large datasets from multiple sources.
Strong understanding of data relationships and data modelling principles.
Experience performing joins, merges and transformations across multiple datasets.
Ability to identify patterns, trends, anomalies and data quality issues.
Experience understanding how disparate datasets relate to one another and can be combined to generate insight.
Comfortable exploring unfamiliar datasets, understanding underlying structures and determining how data can be leveraged for downstream analytical use cases.
Experience converting and managing data between DataFrames, dictionaries and JSON structures.
Experience building and maintaining data ingestion, transformation and processing pipelines.

API and Integration:

Experience consuming and integrating REST APIs.
Understanding of service-based architectures and API-driven data platforms.
Experience building APIs using frameworks such as FastAPI would be advantageous.

AI and Modern Data Platforms:

Understanding of Retrieval-Augmented Generation (RAG) concepts and architectures.
Familiarity with Large Language Models (LLMs) and modern AI ecosystems.
Understanding of how AI systems utilise:
- Vector embeddings
- Retrieval mechanisms
- Semantic search
- Large Language Models (LLMs)
Ability to understand and work within AI-enabled data ecosystems.

Desirable Skills:

Exposure to enterprise AI platforms, LLM tooling or AI-enabled applications.
Knowledge of machine learning concepts and techniques.
Experience with Knowledge Graphs and graph-based data modelling.
Experience using data visualisation tools such as:
- Plotly
- Plotly Dash

About Us

FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.

Diversity and Inclusion

FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Why join us

Career coaching, mentoring and access to upskilling throughout your entire FDM career
Assignments with global companies and opportunities to work abroad
Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
Annual leave and work-place pension

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