Mature the foundations of our Snowflake-based platform — clean SLOs, deeper observability, stronger reliability practices — so we can build confidently on top
Design and ship the infrastructure for real-time and near-real-time feature serving, including training–serving consistency and feature freshness guarantees
Set the platform engineering standards: SLAs, monitoring, incident practices, cost discipline. The bar you set becomes the bar the team operates to
Partner with Pete and the Analytics team to draw clean ownership boundaries — Analytics owns "what & why" for features, you own "how & at what scale"
Grow the team from two to roughly four engineers over the next 12 months, hiring against the bar you've set
Run the day-to-day: planning, RFCs, incident response, technical mentorship. Hands-on where it counts

You've operated a cloud data platform at real scale — event ingestion, streaming, transformation, distributed systems — and you've seen what it takes to grow one 5–10x
You're fluent in production reliability. SLOs, freshness guarantees, replay strategies and silent-failure detection aren't abstract concepts to you
You've designed infrastructure for AI or ML in production — feature pipelines, online/offline stores, low-latency serving — not just used AI in your IDE
You've led engineers before, even a small team. You know what good 1:1s and growth conversations look like, and you'd rather stay technical than become a pure manager
You think in trade-offs out loud — speed vs. cost, simplicity vs. flexibility, build vs. buy — and you take a position when you have enough data, even when it isn't perfect
You see your job as making it easy for other teams to do the right thing. Contracts and tooling, not gatekeeping
You're energised by working at a growth-stage company that's still figuring some things out — and you read that as opportunity, not chaos
Bonus points for: B2C consumer products at high traffic, especially mobile-first
Strong experimentation culture
Shipping a user-facing AI feature (not internal tooling) and being able to walk through the infrastructure decisions behind it
OKR ownership at team level

A remote-first setup: work 100% from home, join a co-working space, or work abroad for several weeks per year
30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you
A focus-driven culture that values efficiency over long hours
no overtime expectations, and if it happens, you get that time back!
A high-impact environment where your work drives real change
short decision-making processes and no micromanagement
A team culture where ambition and balance go hand in hand, supported by strong connections
from our fully covered company retreat to team meetups and virtual coffee breaks
Tools and support to do your best work: MacBook, monitor, and €1,000 annual learning budget, plus regular feedback and career development
A truly international team with English as our company language and a shared commitment to growth and well-being
supported by Sunday Supplements and Nilo Health

Lead Data Platform Engineer

Key skills