product engineer ex technical founder

hexafarms

<div>
 
 Your mission
 
 
 
 Own the modules of the operating system for commercial production&ndash; end to end. Understand every layer it touches, pull the experts together, and ship something customers pay for and love ????
 
 
 
 About The Role
 
 
 
 We're building the operating system for commercial production&ndash; the software layer growers run their operation on. Under one roof we have people building hardware, training ML models, shipping AI, and world-class agronomists. Our OS turns all of that into modules our customers buy and rely on every day.
 
 
 Our product offerings are made of modules&ndash; forecasting is one example, and there are many more. We're looking for a Product Engineer to own the product end to end. That means you understand every layer it touches&ndash; the hardware feeding it data, the ML behind its predictions, the agronomy that makes it correct, the software the customer sees&ndash; well enough to earn the trust of each expert, pull them together, and ship modules customers pay for.
 
 
 This is the role we couldn't fill with a traditional product manager. It needs someone who can hold the whole thing in their head, decide what to build from a thin spec, and drive it across every discipline until it's done. You won't write a lot of code&ndash; that's what the experts are for&ndash; but you're technical enough to prototype, glue the pieces together, and ship code yourself when that's the fastest path.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Own modules end-to-end&ndash; from customer requirements to shipped, paid-for product. The outcome is yours.
 </li>
 <li>
 Orchestrate across disciplines&ndash; get hardware, ML, agronomy, and AI engineers aligned and moving, and earn their trust by genuinely understanding their work.
 </li>
 <li>
 Talk to customers directly&ndash; understand what they need, decide what to build, and measure whether it worked.
 </li>
 <li>
 Build when it's the fastest path&ndash; prototype, integrate ML into the product, ship full-stack features, unblock yourself in unfamiliar territory.
 </li>
 <li>
 Make things happen&ndash; close the loop after shipping, don't just hand off a spec.
 
 
 </li>
 </ul>
 
 Your profile
 
 
 
 <ul>
 <li>
 You've founded or co-founded a company, or owned a product like a founder would&ndash; built it, shipped it, and lived with the consequences.
 </li>
 <li>
 3+ years building/managing production software. Strongly familiar with at least one backend and one frontend technology.
 </li>
 <li>
 You're good at talking to users and turning fuzzy needs into something concrete. FYI, most of our customers only speak German.
 </li>
 <li>
 You can go deep across unfamiliar disciplines&ndash; hardware, ML, a gnarly customer workflow, cloud ops far enough to make good calls and keep experts moving.
 </li>
 <li>
 Habitual AI power user (Claude Code, Cursor, Codex, or whatever's next). Strong opinions on AI-augmented engineering; always finding tools that make the team faster.
 </li>
 <li>
 You can explain technical trade-offs to engineers and non-engineers alike, and you know when to cut corners and when to be rigorous.
 
 
 </li>
 </ul>
 You read all of the above and think: am I really expected to be a unicorn ????? Honestly&hellip; kind of, yes. But if you tick most of these and the rest sounds like a fun stretch &ndash; we want to hear from you.
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 Background or genuine curiosity in agriculture, climate, or deep tech / hardware.
 </li>
 <li>
 Some experience interfacing ML or CV into a real product.
 </li>
 <li>
 You've worked close to hardware or physical systems before.
 
 
 </li>
 </ul>
 
 Why us?
 
 
 
 You talk to customers, decide what to build, build it, ship it, and measure whether it worked. You're comfortable with thin specs. If something breaks at the edge of your knowledge, you figure it out. If you've built and run a company before, this will feel familiar&ndash; the pace, the ambiguity, the ownership.
 
 
 The difference: you're joining a company with traction, paying customers, and a clear technical direction&ndash; and a hard, real problem worth owning.
 
 
 <ul>
 <li>
 Full ownership of modules customers actually pay for.
 </li>
 <li>
 A team of genuine experts across hardware, ML, AI, and agronomy to build with.
 </li>
 <li>
 Berlin, hybrid.
 </li>
 <li>
 Benefits&ndash; equity / perks / visiting farms/ morning matchas/ strawberries, etc.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 We are building the company that is building the software and the hard for the future of commercial food production. We create a peace of mind for commercial food producers by interfacing their entire operations to our ML and AI services. If you live in Europe, very likely, you've had fresh, healthy and nutritious produce raised by hexafarms OS&ndash; you just don't know.
 
 
 hexafarms helps growers to get the most out of their production through yield forecasting, disease and pest detection, climate optimisation, and real-time plant analysis- all in one place. Day by day, we are bridging the gap between sensing, plant biology, and real-time market needs to ensure our customers focus on what is really important, and keep growing at their best.
 
 
 Check out what is like to work at hexafarms here.
</div>

Product Engineer / Ex Technical Founder

<div><h4 class="jobSectionHeader">Your mission</h4>
Own the modules of the operating system for commercial production&ndash; end to end. Understand every layer it touches, pull the experts together, and ship something customers pay for and love ????<h4 class="jobSectionHeader"> 
About the role</h4><div>
We're building the operating system for commercial production&ndash; the software layer growers run their operation on. Under one roof we have people building hardware, training ML models, shipping AI, and world-class agronomists. Our OS turns all of that into modules our customers buy and rely on every day. 
 
Our product offerings are made of modules&ndash; forecasting is one example, and there are many more. We're looking for a Product Engineer to own the product end to end. That means you understand every layer it touches&ndash; the hardware feeding it data, the ML behind its predictions, the agronomy that makes it correct, the software the customer sees&ndash; well enough to earn the trust of each expert, pull them together, and ship modules customers pay for. 
 
This is the role we couldn't fill with a traditional product manager. It needs someone who can hold the whole thing in their head, decide what to build from a thin spec, and drive it across every discipline until it's done. You won't write a lot of code&ndash; that's what the experts are for&ndash; but you're technical enough to prototype, glue the pieces together, and ship code yourself when that's the fastest path. 
 
 What you'll do 
<ul><li>Own modules end-to-end&ndash; from customer requirements to shipped, paid-for product. The outcome is yours.</li><li>Orchestrate across disciplines&ndash; get hardware, ML, agronomy, and AI engineers aligned and moving, and earn their trust by genuinely understanding their work.</li><li>Talk to customers directly&ndash; understand what they need, decide what to build, and measure whether it worked.</li><li>Build when it's the fastest path&ndash; prototype, integrate ML into the product, ship full-stack features, unblock yourself in unfamiliar territory.</li><li>Make things happen&ndash; close the loop after shipping, don't just hand off a spec.</li></ul></div><h4 class="jobSectionHeader"> 
Your profile</h4><ul><li>
You've founded or co-founded a company, or owned a product like a founder would&ndash; built it, shipped it, and lived with the consequences.</li><li>
3+ years building/managing production software. Strongly familiar with at least one backend and one frontend technology.</li><li>
You're good at talking to users and turning fuzzy needs into something concrete. FYI, most of our customers only speak German.</li><li>
You can go deep across unfamiliar disciplines&ndash; hardware, ML, a gnarly customer workflow, cloud ops far enough to make good calls and keep experts moving.</li><li>
Habitual AI power user (Claude Code, Cursor, Codex, or whatever's next). Strong opinions on AI-augmented engineering; always finding tools that make the team faster.</li><li>
You can explain technical trade-offs to engineers and non-engineers alike, and you know when to cut corners and when to be rigorous.</li></ul>
You read all of the above and think: am I really expected to be a unicorn ????? Honestly&hellip; kind of, yes. But if you tick most of these and the rest sounds like a fun stretch &ndash; we want to hear from you. 
 
Nice to have<ul><li>
Background or genuine curiosity in agriculture, climate, or deep tech / hardware.</li><li>
Some experience interfacing ML or CV into a real product.</li><li>
You've worked close to hardware or physical systems before.</li></ul><h4 class="jobSectionHeader">
Why us?</h4><div>
You talk to customers, decide what to build, build it, ship it, and measure whether it worked. You're comfortable with thin specs. If something breaks at the edge of your knowledge, you figure it out. If you've built and run a company before, this will feel familiar&ndash; the pace, the ambiguity, the ownership. 
 
The difference: you're joining a company with traction, paying customers, and a clear technical direction&ndash; and a hard, real problem worth owning. 
 
<ul><li>Full ownership of modules customers actually pay for.</li><li> A team of genuine experts across hardware, ML, AI, and agronomy to build with.</li><li>Berlin, hybrid.</li><li>Benefits&ndash; equity / perks / visiting farms/ morning matchas/ strawberries, etc.</li></ul></div><h4 class="jobSectionHeader">
About us</h4>
We are building the company that is building the software and the hard for the future of commercial food production. We create a peace of mind for commercial food producers by interfacing their entire operations to our ML and AI services. If you live in Europe, very likely, you've had fresh, healthy and nutritious produce raised by hexafarms OS&ndash; you just don't know. 
 
hexafarms helps growers to get the most out of their production through yield forecasting, disease and pest detection, climate optimisation, and real-time plant analysis- all in one place. Day by day, we are bridging the gap between sensing, plant biology, and real-time market needs to ensure our customers focus on what is really important, and keep growing at their best. 
 
Check out what is like to work at hexafarms here.</div>

GRID esports

<div>
 <ul>
 <li>
 Are you passionate about building event-driven systems?
 </li>
 <li>
 Do you have a strong grasp of Kotlin or Go?
 </li>
 <li>
 Do you enjoy finding solutions for significantly impactful challenges?
 
 
 </li>
 </ul>
 If the answers to the above questions are yes, then this role could be ideal for you!
 
 
 What you will do
 
 
 <ul>
 <li>
 Build greenfield mission-critical services and expand the reliability of existing ones
 </li>
 <li>
 Help to shape GRID's technological landscape together with experienced colleagues
 </li>
 <li>
 Participate in architectural discussions, providing feedback to coworkers and ensuring good practices
 </li>
 <li>
 Work closely together with product stakeholders to communicate progress and considerations effectively
 
 
 </li>
 </ul>
 Your skills will include (must have)
 
 
 <ul>
 <li>
 Minimum of 3 years of commercial experience
 </li>
 <li>
 Deep knowledge of a strongly typed language (preferably Kotlin / Go)
 </li>
 <ul>
 <li>
 Explicit (nullable) types
 </li>
 <li>
 Strong, minimal contracts
 </li>
 <li>
 Helpful abstractions and class hierarchies / compositions (introduced at an appropriate time)
 </li>
 </ul>
 <li>
 Ambition to build robust, high-quality mission-critical systems, leveraging the power of:
 </li>
 <ul>
 <li>
 Automated testing
 </li>
 <li>
 Automated monitoring and alerting
 </li>
 <li>
 CI/CD infrastructure
 </li>
 </ul>
 <li>
 Know-how of good API design (preferably REST / GraphQL), paying attention to:
 </li>
 <ul>
 <li>
 Documentation
 </li>
 <li>
 Self-documenting naming and structures
 </li>
 <li>
 Minimal and extendable contracts (while minimizing breaking changes)
 </li>
 </ul>
 <li>
 Experience with GraphQL/REST APIs, micro-service architecture and container / orchestration systems (preferably Docker / Kubernetes), while bearing in mind:
 </li>
 <ul>
 <li>
 Complexity trade-offs
 </li>
 <li>
 Fault-tolerance design
 </li>
 </ul>
 <li>
 Knowledge of JIRA, Agile and Scrum
 </li>
 <li>
 Good communication skills, especially when working with remote teams
 </li>
 <li>
 Good attention to detail
 </li>
 <li>
 Being able to work CET time zone
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Production experience with designing and maintaining GraphQL APIs.
 </li>
 <li>
 Knowledge of eSports and gaming.
 </li>
 <li>
 The ability to thrive in a fast-paced software startup that has incredible potential
 </li>
 <li>
 A passion for software engineering while writing clean, well-tested code
 </li>
 <li>
 Enthusiasm for working in a Lean, fully Agile environment
 </li>
 <li>
 Comfortable using AI tooling where necessary (ex. open code, github copilot, claude code)
 </li>
 <li>
 Knowledge of modern AI workflows
 
 
 </li>
 </ul>
 What you can expect from GRID&rsquo;s Engineering Team
 
 
 <ul>
 <li>
 Impactful: With a robust CI/CD process, and a full suite of automated tests our engineers ship daily, allowing you to make impact on the product from day one with peace of mind
 </li>
 <li>
 Agile &amp; Inclusively: We&rsquo;ve developed our own kanban-based way of working that is constantly being improved and adapted by the self-organizing product-engineering teams. Opinions and ideas are valued from all
 </li>
 <li>
 Quality: Achieved by ensuring detailed stories and epics, high test coverage, a thorough code-review process, consciously taking on technical debt and an open culture of sharing opinions
 </li>
 <li>
 Organized: We strive for considered decisions, creating software that lasts. We document them in decision records, which any engineer in any team can drive
 </li>
 </ul>
</div>

Backend Engineer (m/f/x)

GRID eSports GmbH

<div><ul><li>Are you passionate about building event-driven systems?</li><li>
Do you have a strong grasp of Kotlin or Go?</li><li>
Do you enjoy finding solutions for significantly impactful challenges?</li></ul>
If the answers to the above questions are yes, then this role could be ideal for you!<h4 class="jobSectionHeader"> 
What you will do</h4><ul><li>
Build greenfield mission-critical services and expand the reliability of existing ones</li><li>
Help to shape GRID's technological landscape together with experienced colleagues</li><li>
Participate in architectural discussions, providing feedback to coworkers and ensuring good practices</li><li>
Work closely together with product stakeholders to communicate progress and considerations effectively</li></ul><h4 class="jobSectionHeader">
Your skills will include (must have)</h4><ul><li>
Minimum of 3 years of commercial experience</li><li>
Deep knowledge of a strongly typed language (preferably Kotlin / Go)<ul><li>
Explicit (nullable) types</li><li>
Strong, minimal contracts</li><li>
Helpful abstractions and class hierarchies / compositions (introduced at an appropriate time)</li></ul></li><li>
Ambition to build robust, high-quality mission-critical systems, leveraging the power of:<ul><li>
Automated testing</li><li>
Automated monitoring and alerting</li><li>
CI/CD infrastructure</li></ul></li><li>
Know-how of good API design (preferably REST / GraphQL), paying attention to:<ul><li>
Documentation</li><li>
Self-documenting naming and structures</li><li>
Minimal and extendable contracts (while minimizing breaking changes)</li></ul></li><li>
Experience with GraphQL/REST APIs, micro-service architecture and container / orchestration systems (preferably Docker / Kubernetes), while bearing in mind:<ul><li>
Complexity trade-offs</li><li>
Fault-tolerance design</li></ul></li><li>
Knowledge of JIRA, Agile and Scrum</li><li>
Good communication skills, especially when working with remote teams</li><li>
Good attention to detail</li><li>
Being able to work CET time zone</li></ul><h4 class="jobSectionHeader">
Nice to have</h4><ul><li>
Production experience with designing and maintaining GraphQL APIs.</li><li>
Knowledge of eSports and gaming.</li><li>
The ability to thrive in a fast-paced software startup that has incredible potential</li><li>
A passion for software engineering while writing clean, well-tested code</li><li>
Enthusiasm for working in a Lean, fully Agile environment</li><li>
Comfortable using AI tooling where necessary (ex. open code, github copilot, claude code)</li><li>
Knowledge of modern AI workflows</li></ul><h4 class="jobSectionHeader">
What you can expect from GRID&rsquo;s Engineering Team</h4><ul><li>
Impactful: With a robust CI/CD process, and a full suite of automated tests our engineers ship daily, allowing you to make impact on the product from day one with peace of mind</li><li>
Agile &amp; Inclusively: We&rsquo;ve developed our own kanban-based way of working that is constantly being improved and adapted by the self-organizing product-engineering teams. Opinions and ideas are valued from all</li><li>
Quality: Achieved by ensuring detailed stories and epics, high test coverage, a thorough code-review process, consciously taking on technical debt and an open culture of sharing opinions</li><li>
Organized: We strive for considered decisions, creating software that lasts. We document them in decision records, which any engineer in any team can drive</li></ul></div>

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader">Your mission</h4>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors. 
 
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them. 
 
Your job as Senior Product Engineer is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars. 
 
1. Build and ship with AI 
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul>
2. Lead technical communication with enterprise customers 
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul>
3. Help build the product org 
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><h4 class="jobSectionHeader">
Your profile</h4>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those. 
<ul><li>
Excellent written and verbal communication in English and in German (C1 or C2 must have, native not required). You can run a technical workshop with a German industrial customer end to end.</li><li>
Berlin-based or willing to relocate. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul>
Nice-to-have: background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</div>

Senior Product Engineer

Cortea AI

<div><h1 class="jobSectionHeader">About us</h1>
We&rsquo;re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment.
Backed by top-tier VCs with &gt;15m funding, with a working product and paying customers, we&rsquo;re rapidly scaling.
We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office.<h2 class="jobSectionHeader">
Your Role</h2>
We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it.
A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works.
Our engineering team is a small, flat group of builders: strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless</li><li>
Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them</li><li>
Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently</li><li>
Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind</li><li>
Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what</li></ul><h2 class="jobSectionHeader">
Qualifications</h2>
You'll fit here if you:<ul><li>
Have 5+ years shipping production web applications across the stack</li><li>
Write production APIs and model the data behind them so it holds up under multi-tenancy and load</li><li>
Are strong on the frontend and can build genuinely complex UI</li><li>
Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals</li><li>
Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster</li><li>
Bring a strong product mindset and real ownership of outcomes</li><li>
Make architectural decisions, weigh trade-offs, and build things other engineers can extend</li><li>
Are comfortable with ambiguity and work things out from fundamentals when there's no established answer</li></ul>
Nice-to-haves that are a plus:<ul><li>
Hands-on experience building agents, harnesses, or eval pipelines</li><li>
Data-dense or workflow-heavy B2B products</li><li>
Scaling multi-tenant systems as data and traffic grow</li><li>
Audit, finance, compliance, or another domain where being wrong is expensive</li><li>
Early-stage startup or fast-moving engineering environment</li></ul>
No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk.<h2 class="jobSectionHeader">
Our tech</h2><ul><li>
React, TS, Tailwind, TanStack</li><li>
Python, Postgres, Temporal, Kafka, Redis</li><li>
GCP, Azure, k8s</li><li>
GitHub, Linear, Slack, Notion</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
High impact &amp; growth: Front-row seat to scaling an AI startup with real ownership from day one</li><li>
Mission-driven culture: First-principles thinking, bold ideas, and a supportive team</li><li>
Attractive compensation: competitive salary + meaningful equity</li><li>
Personal development: Learning budget for courses and conferences</li><li>
True Berlin startup environment: Central Berlin office, team lunches, retreats, flexible vacation</li></ul><h1 class="jobSectionHeader">
Interview process</h1><ul><li>
First Call &mdash; Intro to Cortea with our Founders Associate Liza</li><li>
Second Call &mdash; Technical interview with our Member of Technical Staff Jendrik</li><li>
Third Call &mdash; Deep dive into our culture with our Co-Founder Philipp</li><li>
On-site Half-Day (Berlin) &mdash; Meet the team and work on a real problem together</li></ul></div><div></div>

Senior/Staff Fullstack Engineer (m/f/x)

LimeFlight

<div>Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
<h4 class="jobSectionHeader">About the role</h4>
We are hiring a Senior Data &amp; Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data &amp; Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.
This role combines:<ul><li>
Data Engineering (pipelines, processing, customer facing exports, platform)</li><li>
Analytics Engineering (modeling, KPIs, semantic layer)</li><li>
Data Product Ownership (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader">
What You&rsquo;ll Own</h4>
Platform, Architecture &amp; Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)<ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul>
Data Modeling &amp; Semantic Layer<ul><li>
Own Power BI semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul>
Customer-Facing Analytics<ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul>
Data as Product<ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul>
Platform Quality, Operations, Security &amp; Governance<ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul>
Migration &amp; Insourcing (Initial Focus)<ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader">
What We&rsquo;re Looking For</h4>
Experience<ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul>
Technical &amp; Platform Skills<ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul>
Engineering Practices<ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul>
Nice-to-have<ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul>
Mindset<ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader">
Language</h4>
Min. English C1<h4 class="jobSectionHeader">
Expected travel needs</h4>
2 annual one-week team events<h4 class="jobSectionHeader">
Our Tech Stack</h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader">
Hiring Process</h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul> 
LimeFlight is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let&rsquo;s talk!</div>

Senior Data & Analytics Engineer (Europe, 100% remote)

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