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

Job Description

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

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