Director of Data

Reporting to the CTO, you will own the data strategy and execution for Moonfare at a pivotal moment in our growth. We are building the infrastructure and intelligence layer that will power how we serve investors, operate as a business, and scale into new markets, and data is the foundation everything else depends on.

You will inherit a capable team and a real mandate: to bring it together, raise the bar, and build a data function that is fit for where Moonfare is going, not just where it has been. The role demands someone who can hold the strategic vision and get into the technical detail, knowing when to lead from the front and when to elevate the people around them.

In return, you get a rare scope, shaping how a fast-growing private equity platform thinks about, structures, and activates its data from the ground up. This role sits at the intersection of Engineering, Product, and the wider business, leading our combined Data Engineering and Analytics function. The team is 6 people across pipelines, analytics, and architecture who will come together under your leadership into one cohesive function with a shared mission.

The team’s work underpins how Moonfare makes decisions, serves its investors, and builds towards an AI-driven operating model, making this one of the highest-leverage functions in the business.

• Define and execute the data strategy for Moonfare, building the platforms, pipelines, and governance that give the business a reliable, scalable, and intelligent data foundation to grow on.
• Bring 6 people across data engineering, analytics, and architecture into one cohesive team, setting the operating model, rituals, and standards that make the function more than the sum of its parts.
• Architect and build the infrastructure that sources, structures, and serves data across investment, investor relations, operations, and compliance use cases.
• Partner closely with Engineering and Product to make data the substrate that our AI and agentic capabilities are built on, and with the business to enable self-serve reporting and operational intelligence.
• Stay deep in the technical detail across architecture reviews, design decisions, and pipeline trade-offs, while also representing data credibly to executive stakeholders and the Board.
• Embed compliance and regulatory thinking into every layer of the platform, recognising the demands of operating in a regulated financial services environment.

Benefits

• Attractive compensation: We benchmark our compensation against other Fintechs and aim to pay at the 75th percentile.
• Relax and Recharge: You start your career at Moonfare with 25 vacation days and earn one extra day per year of tenure. Additionally, we have company-wide days off on different occasions.
• Growth budgets: Each full-time employee receives a minimum of €1,500 growth budget/year that can be used for seminars, coaching, certification or other things that foster your growth.
• Free daily lunches: On top of snacks, fruits, cereals and drinks, we offer lunch in our Berlin office and generous lunch budgets in our other offices.
• Mental health support: Our mental health platform nilo.health gives all employees access to online counseling, daily meditations and mindfulness workshops.
• Other benefits: We also offer a variety of other benefits like company parties and events, a referral bonus of €2,000, spontaneous company-wide vacation and company merch.

You’re a credible partner to executives and cross-functional stakeholders, able to translate between business outcomes and technical reality. You bring deep, hands-on expertise across data engineering, AI, architecture, and pipelines. You lead the strategy and get into the weeds with your team on the hardest technical problems, contributing directly rather than just directing from a distance.

You’re an experienced people leader who has unified or scaled a multi-disciplinary data team, and can bring engineers, analysts, and architects together around a shared mission while knowing when to roll up your sleeves alongside them. You have a strong, opinionated point of view on what modern AI and agentic systems need from a data function, and you’ve put that thinking into practice in real products and platforms, not just on slides.

You’ve built or significantly evolved a modern data platform in a regulated financial services environment, and you understand what compliance, auditability, and data quality actually demand at the architecture level. You thrive in pressured, high-ambiguity scale-up environments and are energised by carrying both the strategic load and a meaningful share of the technical work.