Data Modeler

About Apexon:

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence.

Role Overview

We are looking for an experienced Data Modeler to join our Financial Services team in London. This role is ideal for someone with a strong background in designing and optimising data models, ensuring data integrity, and supporting enterprise-wide data architecture. The successful candidate will play a key role in structuring data to enable efficient analytics, reporting, and regulatory compliance.

Key Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models
• Collaborate with business and technical stakeholders to gather and translate requirements into data structures
• Ensure data models align with business objectives, regulatory requirements, and industry standards
• Optimise database structures for performance, scalability, and maintainability
• Work closely with data engineers and analysts to support data integration and analytics use cases
• Maintain data dictionaries, metadata, and documentation for enterprise data assets
• Enforce data governance standards, including data quality, consistency, and lineage
• Support data warehousing initiatives and modern data platform implementations

Required Skills & Experience

• 8 - 12 years of experience in data modeling within the Financial Services industry
• Strong expertise in data modeling techniques (e.g., dimensional modeling, 3NF, Data Vault)
• Proficiency in SQL and experience with relational and non-relational databases
• Hands-on experience with data modeling tools (e.g., ERwin, ER/Studio, or similar)
• Solid understanding of financial data domains (e.g., trading, risk, finance, regulatory reporting)
• Experience working with large-scale data environments and data warehouses
• Strong analytical and problem-solving skills
• Excellent communication skills, with the ability to engage both technical and business stakeholders

Preferred Qualifications

• Experience with cloud data platforms (e.g., AWS, Azure, or GCP)
• Familiarity with big data technologies (e.g., PySpark, Hadoop ecosystem)
• Knowledge of data governance frameworks and regulatory standards in financial services
• Exposure to ETL/ELT processes and tools

Key Attributes

• Strong attention to detail and data accuracy
• Strategic thinking with a focus on scalable data design
• Ability to manage multiple priorities in a fast-paced environment
• Collaborative and proactive mindset

If you are passionate about building robust data foundations that power analytics and business decisions, we would love to hear from you.