Founding Data Engineer

Kyra

ABOUT KYRA Kyra is an enterprise influencer marketing platform working with brands like SharkNinja, Coach, H&M, Ray-Ban, and Converse. Our platform manages the full lifecycle — creator discovery, campaign management, content review, payments, analytics, and AI-powered intelligence across TikTok, Instagram, and YouTube. Every job ad promises an extraordinary role. Statistically, most of them are lying. Read on and judge the odds for yourself. We're Kyra. We work with some of the world's biggest consumer brands, including H&M and SharkNinja, and we are scaling our platform, Kyra One. We've made other brands impossible to ignore. Now it's our turn. Here's the person we're after. You have already done this on the consumer side. You have built an audience that actually engages, and the numbers to prove it. Now you want to do it in B2B, where almost nobody makes content anyone actually wants to watch. That gap is the whole opportunity, and it is yours to take. One bar you have to clear: millions of views, personally driven or led. Show us the numbers. What matters is taste, a real following of your own, and proof your work cuts through. One warning. We move fast, and that is an understatement. Which is why this role is temp to perm. You start now, on a temporary or freelance basis, and we make it permanent when we both know it works. You need to be immediately available, or close to it. Prove it in the room, then make it yours. WHAT YOU'LL DO Everything this team makes serves one purpose: bringing the right brands closer to Kyra. You'll feel that in every brief. * Create content that earns attention. Video, social, whatever the moment needs. You produce it yourself: shoot, edit, caption, brand, publish. You make it, you ship it, you own how it performs. * Set what Kyra sounds like. You take us from a company that posts to a company with a voice people follow. You hold that voice everywhere it shows up: LinkedIn, our website, and the channels we haven't built yet. * Experiment constantly. Reach and attention are your laboratory. Hypothesis, ship, read the result, go again. Small bets, fast cycles. * Report on what matters. Track what you ship, what it did, and what it turned into. Reach means little without response. Response means little without leads. You know the chain. * Muck in. One project or five, you flex where we need you. This is greenfield, and the best opportunities are the ones no one has thought of yet. Finding them is the job's quiet joy. * Grow the function. This starts hands-on and you make most of it yourself. As it works, you build and lead the team behind it. WHO YOU ARE * Your taste is curated. You know content, storytelling, and how to make image and video that stops people scrolling. You understand how attention works on any platform, including the ones you're about to learn, and you know how to connect with an audience and pull them in. You know how culture moves. Chronically online, with a voice of your own. * A maker, with an audience that answers back. One viral post is luck. You show cut-through more than once, and the followers to match. But the real signal isn't the follower count, it's the engagement: an audience that replies, shares, and shows up for what you make. Job, side project or personal channels, it all counts, and we'd expect you to have some of your own. We will ask to see it, and how you did it. * An explorer. You pull things apart to see how they work. You follow the people inventing what comes next, and you try their ideas the same week. You use AI tools where they make you faster, and you have opinions on which ones are worth it. * Biased to action. You're at your best starting from a blank page. A rough version today beats polished next month. You keep multiple projects in the air and drop none of them. * Unafraid of metrics. Numbers steer you. Attention that goes nowhere is just noise you made. Every miss teaches you something, and you are hungry to learn. * Here for a reason. You want to be part of an ambitious company that means something. You want your work to matter, and you want to see it matter. * A generous teammate. We're a lean team, so we look after each other. You pitch in where you're needed, share the load, and take real pleasure in helping the people around you do their best work. * Handy across formats. You can edit a video, design an asset or throw together a web page without waiting for anyone. And if you've worked in the creator economy, on a social platform, or in B2B SaaS, you already know the world we play in. WHAT WE OFFER * Competitive salary on the permanent role, dependent on experience, with an equivalent rate during the temp period * Hybrid working from our Old Street office * Teammates who care about brilliant work, alongside some of the world's best-known brands * A front-row seat at a profitable, founder-led, seriously ambitious company entering its next phase of growth * Partnership with our Head of Marketing and direct visibility to the founders. Your work gets seen at the top, fast * A true founding role. You own this function from day one, shape it as it grows, and your wins get seen * Room to grow as our marketing grows. This role gets bigger every quarter HOW TO APPLY Send us the best thing you have made. Tell us what it did and what you learned. That matters more than your CV. And tell us when you can start, because sooner is better. 💟 Support If you have a condition or require an adjustment to our interview process - please let us know so we can make adjustments to support you. Please note that when you submit an application or resume, your data will be processed in line with our privacy policy.

Plain

WHO IS PLAIN? Plain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships. Some of the world’s most forward-thinking companies - like Cursor, Vercel, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI. B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works. THE ROLE We’re hiring a Founding Data Engineer to own and evolve Plain’s data foundations: the warehouse, core models, and the “customer/account spine” that Product, GTM, Support, and Engineering rely on to make decisions and build great experiences. This is a hands-on role. You’ll work across our data stack and partner closely with engineering teams to keep our event taxonomy, pipelines, and metrics clean as we scale. We expect you to be hands-on, and we’re looking for someone who can both execute and grow into broader ownership of the data function over time. This includes owning how Plain captures, models, and surfaces data: from warehouse foundations to in-app reporting and the data layer that will power our AI features. WHAT YOU'LL DO * Rebuild our data warehouse: own the architecture, schemas, and core datasets with clean pipelines and a unified event taxonomy established with Engineering. * Deliver trusted, reusable data products: foundational datasets that power analytics, reporting, in-app features, and AI, anchored on a joinable customer/account spine across product, billing, and CS context. * Stand up data observability: quality checks, freshness, lineage, schema drift, and incident response, so the business can trust what it sees. * Own in-app reporting: ship the analytics features that help support leaders turn their data into better decisions. * Enable self-serve: evolve our data layer, dashboards, and documentation so every team can run their own analysis without a ticket. * Lay the retrieval layer behind our AI agent's customer context. * Partner across the company: work with GTM, CX, Product, and Engineering to translate questions into scalable models and datasets. THIS IS A GREAT FIT IF YOU… * Have built modern analytics stacks end-to-end (warehouse, transformations, semantic layer, governance) from zero, ideally more than once. * Are strong with SQL, BigQuery, and dbt/Dataform. * Have experience building user-facing analytics or AI retrieval layers using real-time data platforms (e.g., Tinybird, ClickHouse). * Care about data quality, trust, and reusability as much as shipping speed. * Take initiative and measure your work by end-user impact, not elegant abstractions. * Communicate clearly and build alignment without heavy process. THIS WON'T BE THE RIGHT ROLE IF YOU… * Are uncomfortable with ambiguity or greenfield work. We're early and moving fast. * Prefer exploratory analysis over engineering reliable datasets and systems. * Want to manage a team right now. This is an IC role.

Vogel Steuerberatung

EINLEITUNG Steuerberatung läuft auf DATEV. Lohn, FiBu, Steuerprogramm, Dokumentenmanagement – alles mündet in einem System, das für die Branche so selbstverständlich ist wie Strom aus der Steckdose. Und genau da liegt das Problem: Die Daten sind da, aber sie sind eingesperrt. Keine Schnittstellen, kein normalisiertes Schema, keine Möglichkeit, systematisch über mehrere Einheiten hinweg auszuwerten. Project Arrakis löst dieses Problem – und du bist die Person, die es technisch umsetzt. Die Vogel-Gruppe erwirtschaftet heute ~12 Mio. EUR Umsatz mit exzeptioneller Produktivität pro Kopf. Parallel akquirieren wir Kanzleien im Rahmen einer Buy-&-Build-Strategie und transformieren die gesamte technologische Infrastruktur. Die Architekturentscheidungen, die wir jetzt treffen, bestimmen, ob diese Plattform bei 100 Millionen Umsatz funktioniert oder kollabiert. Die Rolle sitzt in der Unit Technology & Operations. Du baust die Datenschicht, die zwischen DATEV und unserer eigenen Intelligenz liegt: die Abstraktionsschicht, die DATEV-Daten in ein normalisiertes, proprietäres Schema überführt. Du entwickelst die Sync-Pipelines, die unsere Systeme konsistent halten. Du automatisierst die Workflows, die heute manuelle Arbeit erfordern. Und du legst die technische Grundlage für alles, was danach kommt. Du bringst 2–3 Jahre Erfahrung in Software Engineering, Data Engineering oder einer vergleichbaren technischen Rolle mit – oder du überzeugst als herausragender Absolvent mit substanziellen eigenen Projekten, die über Studienarbeiten hinausgehen. Die Rolle ist als Founding Engineer konzipiert – mit einer Entwicklungsperspektive, die sich am Beitrag orientiert, nicht am Organigramm. IHRE AUFGABEN Datenarchitektur & DATEV-Integration  * Baue und betreibe die Abstraktionsschicht zwischen DATEV und unserem eigenen Data Layer. DATEV liefert die Rohdaten – du überführst sie in ein normalisiertes, proprietäres Schema. * Entwickle und optimiere die Sync-Pipelines zwischen DATEV und weiteren Systemen. * Entwirf und implementiere das Datenbankschema, das die Grundlage für alle nachgelagerten Anwendungen bildet – von operativen Dashboards über AI-Analysen bis zum Benchmarking. * Dokumentiere API-Responses, Datenstrukturen und Schnittstellen-Verhalten systematisch.   Automatisierung & interne Tools * Identifiziere und automatisiere repetitive Workflows in der operativen Mandantenarbeit. * Baue interne Tools und Dashboards, die Beratern und der Geschäftsführung unmittelbaren Mehrwert liefern. * Treibe die Auswahl und Integration des Tech-Stacks für das operative Kerngeschäft mit voran. Platform Engineering & Skalierung  * Stelle sicher, dass die technische Infrastruktur bei jeder Akquisition skaliert. * Arbeite an der technischen Grundlage für das Mandantenportal. * Evaluiere und integriere AI-Tools für konkrete Anwendungsfälle in der Mandantenarbeit. IHR PROFIL Erfahrung & Track Record * Du hast 2–3 Jahre in einer technischen Rolle gearbeitet – Software Engineering, Data Engineering, Backend-Entwicklung. Alternativ überzeugst du als herausragender Absolvent mit substanziellen eigenen Projekten. * Du hast einen starken Studienabschluss in Informatik, Wirtschaftsinformatik oder einem verwandten technischen Fach. * Du hast mindestens einmal ein System gebaut, das über den Prototypen hinausgegangen ist.   Skills & Arbeitsweise * Du beherrschst mindestens eine Programmiersprache auf einem Niveau, das über Scripting hinausgeht – idealerweise TypeScript oder Python. * Du hast fundierte Erfahrung mit relationalen Datenbanken, insbesondere PostgreSQL oder vergleichbar. * Du hast mit APIs gearbeitet – REST, idealerweise auch mit weniger gut dokumentierten Schnittstellen. * Du hast ein Grundverständnis von Cloud-Infrastruktur, idealerweise Azure. * Du arbeitest mit AI als selbstverständlichem Werkzeug – Claude Code, Cursor oder vergleichbar. * Du kannst dich in Domänen einarbeiten, die dir fremd sind – DATEV, Steuerberatung, HGB.   Mindset & Persönlichkeit * Du hast eine natürliche Abneigung gegen technische Schulden, die sich als Pragmatismus tarnen. * Du willst Ownership übernehmen, nicht Tasks abarbeiten. * Du bist komfortabel damit, in einer Umgebung zu arbeiten, in der es noch keine etablierten Engineering-Prozesse gibt. * Du bringst die Demut mit, von Nicht-Technikern zu lernen.