Data Modeller

Luxoft; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Luxoft seeks an experienced Business Analyst/Data Modeller to drive delivery of a strategic data warehouse and integration programme built on Snowflake. You will coordinate with cross-functional teams spanning data engineering, architecture, product, and client delivery, ensuring the programme is delivered on time, within scope, and to the highest quality standards.

Delivery responsibilities include aligning technical work with business objectives, defining data models for financial instruments,

Qualifications

• Proven experience in complex capital market project.
• Experience delivering data warehouse or data platform initiatives.
• Solid understanding of modern data architectures, including cloud data warehouses (Snowflake).
• Familiarity with ETL/ELT, pipelines, APIs, data modelling and engaging with architects and engineers.

Responsibilities

• Delivery: align technical delivery with business objectives and define data models for financial instruments.
• Stakeholder management: act as main contact for senior stakeholders, manage expectations, and refine requirements.

Skills

Capital markets

Snowflake

Data modelling

Agile delivery

Stakeholder mgmt

Tools

Jira

Confluence

Job description

Project description

We are seeking an experienced Business Analyst/Data Modeller to drive the delivery of a strategic data warehouse and integration programme built on Snowflake. This is a high-impact role responsible for orchestrating a complex, multi-stream initiative that underpins our portfolio management platform used by global asset managers.You will coordinate with cross-functional teams spanning data engineering, architecture, product, and client delivery, ensuring the programme is delivered on time, within scope, and to the highest quality standards.

Responsibilities

• Deliveryo Ensure alignment between technical delivery and business objectiveso Define data models for broad range of financial instrumentso Determine the appropriate representation for each trade type and ensure a standardised data model that can be appliedo Drive AI usage within the programo Build a view of the upstream and downstream systems and their required usage of data
• Stakeholder Managemento Act as the primary point of contact for senior stakeholders across technology, product, and client teamso Manage expectations, communicate progress, and elevate risks effectivelyo Facilitate workshops to gather and refine business and data requirements

SKILLS

Must have

• Domain Experienceo Proven experience in complex capital market projectso Experience delivering data warehouse or data platform initiatives
• Data & Technology Awarenesso Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake)o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling)o Ability to engage effectively with architects and engineers without needing to be hands-ono Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD
• Delivery Methodologieso Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence)o Ability to operate in hybrid Agile/Waterfall environments where neededo Able to analyse and interrogate data formats such as XML, fPML
• Stakeholder Managemento Excellent communication and influencing skills across technical and non-technical audienceso Experience working with senior stakeholders and clients in a delivery-critical environment

Nice to have

Financial Services Domaino Experience in asset management, portfolio management systems, or financial data platformsNice to Have Experience delivering Snowflake-based platforms specifically Familiarity with data governance and regulatory requirements in financial services Experience with Murex, or similar platforms Relevant certifications (e.g., PRINCE2, PMP, Agile certifications)o Knowledge of SAP