Technical Team Lead Java + Python + Graph DB - VR-122003

Project Description:

We are looking for an experienced Technical Team Lead to lead the design and delivery of a modern analytics and valuation platform used in Private Equity and financial valuations.

You will combine hands-on engineering, technical leadership, and domain-driven design to build scalable, data-intensive solutions that support complex ownership structures, valuation models, and investment analytics.

This is a key role bridging engineering excellence and financial domain expertise, working closely with product, valuation professionals, and stakeholders.

Responsibilities:

Technical Leadership:

• Lead a cross-functional engineering team (backend, frontend, data)

• Own system architecture and technical design decisions

• Set engineering standards: code quality, performance, security, and scalability

• Mentor engineers and perform technical reviews

• Drive best practices in CI/CD, testing, and observability

Hands-On Development:

• Design and implement backend services using Java and Python

• Design and optimize Graph Database models to represent complex ownership, fund, and valuation relationships

• Ensure high performance querying and analytics over interconnected financial data

• Collaborate on API design (REST / GraphQL)

Domain & Stakeholder Collaboration:

• Work closely with Private Equity and Valuation experts, Business Analysts and SME's to translate business requirements into technical solutions

• Participate in data modeling for:

      • Ownership structures

      • Financial instruments

      • Valuation methodologies

• Support data accuracy, transparency, and auditability

Mandatory Skills:

Capital Markets GraphQL Python

Mandatory Skills Description:

Technical:

• 10+ years of hands-on experience in Java development.

• 4+ years experience managing development teams on a Team Lead position

• 4+ years experience coding in Python.

• Proven expertise with Graph Databases (Cypher, Gremlin, graph modeling, traversal algorithms).

• Proficiency with SQL and NoSQL databases

• Strong grasp of software architecture patterns

• proven People Management experience.

• Experience working with cloud environments (AWS).

• Good understanding of CI/CD pipelines, containerization (Docker/Kubernetes), and modern software engineering practices.

Leadership:

• Proven experience leading engineering teams

• Ability to balance hands-on development with leadership responsibilities

• Strong communication skills with both technical and non-technical stakeholders

Business:

• Experience in Private Equity, Asset Management, Valuations, or Financial Analytics

• Knowledge of financial modeling or valuation concepts (DCF, multiples, NAV)

Nice-to-Have Skills Description:

• Experience in data-intensive or real-time processing environments.

• Background in data visualization or analytical platforms

• Exposure to regulatory or audit-related systems

Languages:

English: C1 Advanced