Forward Deployed Data Specialist

Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.

At Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We’re on a mission to deliver accessible online trading products around the world through education and accessibility.

Think finance is stuffy? Think again.

At Equiti, we’re building fintech with a purpose: making wealth tools accessible to everyone. As we continue to grow, we’re seeking talented individuals who thrive in innovative environments. , and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our Data department would like to welcome a detail-oriented

Forward Deployed Data Specialist in our office in Abu Dhabi

The Forward Deployed Data Lead acts as the single point of accountability and conduit between the Business, Product, Data Engineering, and Data Analytics functions for a dedicated business line (e.g. CFDs, Cash Equities, Wealth). Operating at the intersection of business context and technical delivery, the role translates trading, wealth, and brokerage business needs into well-formed data requirements, and then drives their end-to-end delivery as data products — spanning data engineering, modelling, and analytics — by orchestrating the extended data engineering and analytics team.

The Forward Deployed Data Lead is expected to be a hands-on technologist as well as a trusted business partner, capable of sitting in a requirements conversation.

Business & Requirements Partnership

• Act as the dedicated data lead for a specific business line (CFD, Cash Equities, Wealth, or similar), building deep functional knowledge of that line's products, trade lifecycle, client journeys, and regulatory/reporting needs.
• Serve as the primary conduit between Business, Product, Data Engineering, and Data Analytics teams — ensuring no requirement is lost in translation between commercial intent and technical build.
• Proactively engage business stakeholders (trading desks, RMs, product managers, risk/compliance where relevant) to capture new and evolving data requirements as they arise.
• Formalize requirements into clear, structured artifacts (business requirement documents, user stories, data contracts, source-to-target mappings) that both engineering and analytics teams can execute against.
• Prioritize and sequence requirements in partnership with Product and Business, balancing quick wins against long-term data platform integrity.

Delivery Ownership (Engineering + Analytics)

• Own end-to-end delivery of formalized requirements — from data source identification and ingestion, through modelling and transformation, to analytics consumption (dashboards, self-serve datasets, AI-ready data marts).
• Design the target data model and pipeline architecture and work hands-on with data engineers to build/validate ingestion (batch and streaming) and transformation logic.
• Partner with data analysts to design analytics use cases, metrics definitions, and semantic layers that are accurate, reusable, and aligned to business language.
• Review code, data models, and dashboards produced by the extended team to ensure quality, performance, and consistency with platform standards.
• Manage delivery timelines, risks, and dependencies for the business line's data roadmap, escalating proactively where needed.
• Coordinate daily with the Head of Data Platform and Head of Data Analytics on design…