Lead Data Platform Engineer

HEY THERE

You've spent a few years deep in data platform engineering and you're ready to lead one — without stepping away from the architecture, the RFCs, the trade\-offs that decide whether a system scales or buckles. Set the bar, shape how it scales, stay deep in the tech while you do it. We're hiring a Lead Data Platform Engineer to take ours into its next chapter.

Let's shape the future of nutrition together and make Yazio the most successful nutrition app worldwide!

This role is 100% remote and open to candidates based in Germany, Spain, Portugal or the U.K.

YOUR MISSION

Yazio is entering a new phase where our data platform must support increasing scale, complexity and AI\-powered product features. You, as the Lead of our Data Platform team will guide us through our next chapter: evolving it into the backbone for AI\-driven personalization across a product used by over 2M people a day in 150\+ countries.

You'll lead a team of two senior engineers who know our product and our data inside out, and you'll take the platform from analytics enablement to AI\-ready product infrastructure.

In your first year, you'll:

• 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

YOUR PROFILE

You'll feel at home here if:

• 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

OUR CORE TECH STACK

Here's what we currently run in production:

• Infrastructure \& platform: AWS (EKS, MSK, S3\), Kubernetes


• Event streaming \& ingestion: Kafka (AWS MSK), public HTTPS endpoints from mobile, web, backend and payments


• Processing \& orchestration: Spark, Dagster, dbt


• Warehouse \& experimentation: Snowflake, GrowthBook


• Observability: Prometheus, Grafana, InfluxDB, Graylog/ELK


• AI foundations: OpenAI API for product features, Opik for LLM evaluation


• Collaboration: GitHub, structured RFCs, async\-first

If you've worked with Kafka, Spark and Snowflake in some form, you'll be at home. If you came from GCP or self\-hosted, the patterns transfer.

WHY US?

• An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating


• 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

DIVERSITY AND INCLUSION

At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation, or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply.

READY TO JOIN US?

Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us:

• Your CV in English


• Any additional materials that showcase your work (e.g., LinkedIn profile, portfolio)

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