data architect

Enpal

<div><p>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.</p><p>
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.<br>
<br>
<b>About the Role</b></p><p>
The Staff Data Platform Architect is a senior technical leadership role responsible for defining and governing best practices across our data platform and analytics ecosystem. Reporting to the Engineering Manager, Data Platform, this is an individual-contributor role that leads through influence and lateral collaboration rather than direct authority.</p><p>
You will act as a cross-functional technical authority, working closely with the Data Platform team and domain BI teams to set the standards, guardrails, and architectural direction that enable all data teams to operate at high quality and scale. Your impact is measured not by what you execute day-to-day, but by how effectively you raise the bar across teams through clear standards, sound architecture, and trusted consultation.</p><p><b><br>
What you'll do:</b><br>
<br>
<b>Data Contract Standards</b></p><ul><li><p>
Define and enforce best practices for the technical definition and implementation of data contracts, including guidance documentation and CI/CD enforcement.</p></li><li><p>
Establish best practices for the review and actualization of data contracts with data owners, keeping producers and consumers aligned.</p></li></ul><p><b>
Tooling &amp; Developer Experience</b></p><ul><li><p>
Drive tool selection and evolution for data developers (e.g., dbt, IDEs, AI-assisted tooling), continuously evaluating options and defining usage best practices to keep teams productive and modern.</p></li></ul><p><b>
Data Modeling Standards</b></p><ul><li><p>
Set and maintain the reference data model architecture, defining where and how data should be structured across layers (e.g., ODS/bronze, marts).</p></li><li><p>
Establish best practices for model quality, code reusability, and data product certification, including SQL style guides and data testing guidelines.</p></li></ul><p><b>
Advisory &amp; Consulting</b></p><ul><li><p>
Serve as a consulting authority for the design and maintenance of data processing infrastructure (Snowflake, dbt, Airflow, dlt, Azure) and BI infrastructure (Power BI, Tableau).</p></li><li><p>
Support BI teams in modeling data products within dbt and Snowflake.</p></li></ul><p><b><br>
Scope of Influence</b><br>
<br>
This role does not own day-to-day execution but sets the technical direction, standards, and guardrails for all data teams. The work manifests primarily as:</p><ul><li><p>
Guidance and governance documentation</p></li><li><p>
Technical enforcement mechanisms (CI/CD, testing frameworks)</p></li><li><p>
Cross-team consultation and architectural review</p></li></ul><p><b><br>
Scope of Influence What you'll bring</b></p><p><b>
Experience &amp; Background</b></p><ul><li><p>
7&ndash;10 years in data engineering, analytics engineering, or data platform roles, with a track record of working as a strong generalist across the modern data stack.</p></li><li><p>
Demonstrated experience setting technical standards or architecture that other engineers adopted and built on.</p></li><li><p>
Experience operating in a multi-team or domain-oriented data environment (data mesh, federated ownership, or similar) is a strong plus.</p></li></ul><p><b>
Technical Depth</b></p><ul><li><p>
Deep, hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including large or modular project structures.</p></li><li><p>
Solid command of data modeling approaches across raw, staging, and serving layers, and the trade-offs between them.</p></li><li><p>
Working knowledge of orchestration (Airflow), ingestion (dlt), cloud platform (Azure), and BI tooling (Power BI, Tableau).</p></li><li><p>
Familiarity with data contracts, schema governance, and CI/CD enforcement for data pipelines.</p></li><li><p>
Awareness of AI-assisted developer tooling and a pragmatic, evidence-based view of where it adds value.</p></li></ul><p><b>
Governance &amp; Standards</b>
</p><ul><li><p>Proven ability to translate good practice into durable, adoptable standards: style guides, testing frameworks, certification criteria, review processes.</p></li><li><p>
Comfort defining guardrails that scale across teams without becoming bottlenecks.</p></li></ul><p><b>
Lateral Leadership &amp; Communication</b></p><ul><li><p>
Strong written communication; able to produce documentation engineers actually read and follow.</p></li><li><p>
Ability to build consensus and drive adoption through influence, not authority, across teams with competing priorities.</p></li><li><p>
Skilled at the consulting posture: advising, reviewing, and guiding without taking over.</p></li></ul><p>
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
</p><p></p><h3 class="jobSectionHeader"><b>What we offer</b></h3><ul><li><p><b>
Work at Germany's first green unicorn</b> - Play an active role in shaping the solar energy transition.</p></li><li><p><b>
The sun shines all over the world</b> - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</p></li><li><p><b>
The ideal setup for your focus</b> - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</p></li><li><p><b>
Grown-up business &amp; startup spirit</b> - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</p></li><li><p><b>
Your kick-start at Enpal</b> - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</p></li><li><p><b>
Stay up to date &amp; help shape the future</b> - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</p></li><li><p><b>
The energy transition can only be achieved together</b> - At Enpal, you can expect legendary team spirit and unforgettable team events.</p></li><li><p><b>
Your extra boost</b> - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</p></li></ul><p><i>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</i></p></div>

Data Platform Architect (f/m/x)

GTM Base

<div><p>RevOps is changing fast, and so is the way GTM processes get built and maintained inside the CRM. This role puts you on the front edge of it: forward-deployed in our clients' RevOps teams, building and running their GTM systems in a genuinely AI-first environment.</p>
<p>
GTMBase is an AI-first GTM engineering and RevOps agency. We help post-PMF B2B companies (&euro;8M to &euro;50M ARR, 5+ reps) whose go-to-market is over-performing their systems. Reps do manually what should be automated, sales and marketing data doesn't connect, and leadership can't trust the reporting.</p>
<p>
We combine strategic GTM thinking with hands-on technical build, and we fix the foundation before running campaigns.</p>
<p>
We deliver across Four Pillars:</p>
<div>
<ul><li><b>Data Foundation:</b> list building and enrichment so reps win with better data (Clay, Apollo, custom scrapers, AI research)</li></ul>
<ul><li><b>RevOps &amp; CRM:</b> building the right GTM process inside the client's CRM, including architecture, lifecycle, pipelines, routing, and reporting (HubSpot, Salesforce)</li></ul>
<ul><li><b>Agentic Workflows:</b> building agentic GTM workflows with Anthropic Managed Agents and Hermes, getting the org ready for Agentic GTM</li></ul>
<ul><li><b>GTM Strategy &amp; Plays:</b> recommending and executing the highest-impact campaigns</li></ul>
</div>
<p>We've done this for clients including <b>Groupon, Blinkist, Booksy, and Sendify.</b> We work in small pods, with a Strategist, a CRM Architect, and a GTM Engineer.</p>
<h2 class="jobSectionHeader"><b>
How We Operate</b></h2>
<p>
We run the company on Claude Code. It's our operating system: client context, playbooks, automations, and delivery all live in it, and AI is the default way we work rather than a bolt-on. You'll work this way too, and get very good at it.</p>
<h2 class="jobSectionHeader"><b>
Why This Role Matters</b></h2>
<p>
You're the person who turns our GTM strategy into a CRM that actually works. Most clients run their entire revenue motion on HubSpot or Salesforce, and the quality of that system runs through this role: how clean the data is, how well leads route, whether leadership can trust the reporting.</p>
<p>
Here, &quot;Architect&quot; means architecting inside the CRM: the object model, pipelines, workflows, and automations. The GTM and revenue strategy is set with you in your pod, not by you alone, and you build it with real craft.</p>
<p>
You're forward-deployed: you embed with clients' RevOps and sales teams and build inside their live CRM.</p>
<h2 class="jobSectionHeader"><b>
The Role</b></h2>
<p>
You'll build and maintain GTM process and automation inside our clients' CRMs, mostly HubSpot. Working from the direction set in your pod, you turn requirements into a clean, well-built system the sales team can rely on.</p>
<p>
One week you're building a client's lead lifecycle and routing. The next you're debugging a broken automation, untangling duplicate deals, or shipping a dashboard a CRO asked for. You move across several client instances at once without dropping threads.</p>
<p>
You're a builder with an admin's discipline. You know the object model, not just the UI. You sweat the details others miss, you test before you ship, and you document what you build so the rest of the pod can run it. When something breaks, you find the root cause and fix it properly.</p>
<h2 class="jobSectionHeader"><b>
How This Differs From a GTM Engineer</b></h2>
<p>
Your pod is you (CRM Architect), a Strategist who sets direction and hands you requirements, and a GTM Engineer. You and the GTM Engineer are both builders, but you own different layers:</p>
<ul>
<li><b>You (CRM Architect, Pillar 2):</b> the GTM process inside the CRM. HubSpot/Salesforce architecture, lifecycle, routing, deal logic, automation, reporting, data integrity. You live in HubSpot, Salesforce, Operations Hub, and n8n.</li>
<li><b>GTM Engineer (Pillar 1):</b> the data layer. Enrichment, scraping, signal detection, list building, custom research agents. They live in Clay, Apify, custom scrapers, and data APIs.</li>
</ul>
<p>Think of it as the data into the CRM (GTM Engineer) versus the system it lands in and the process the sales team runs on (you). You don't need to be a Clay or Apify expert. You just need a solid working understanding of what a GTM Engineer does, enough to spec what you need, integrate their output cleanly, and know what's possible.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li><b>Architect and build in client HubSpot instances:</b> information architecture (objects, associations, lifecycle stages, pipeline structure), workflows, deal logic, lead scoring, routing, properties, and permissions</li>
<li><b>Build and debug automations</b> across the GTM stack: HubSpot workflows, n8n, APIs, and webhooks. When an automation breaks, you find the root cause rather than just toggling features</li>
<li><b>Guard data integrity:</b> deduplication, field validation, association hygiene, and import discipline so reporting and forecasting can be trusted</li>
<li><b>Build the reporting leadership relies on:</b> pipeline coverage and velocity, stage-by-stage conversion, and full-funnel dashboards. You know where HubSpot's platform and paywall limits force a different approach</li>
<li><b>Design integrations and data flows</b> between HubSpot and the rest of the stack (Clay, Aircall, telephony, billing, enrichment pipelines)</li>
<li><b>Turn requirements into working builds:</b> take a brief like a 15-minute lead-response SLA and ship the routing system that delivers it</li>
<li><b>Keep multiple client instances healthy</b> at once, with fast turnaround and nothing falling through the cracks</li>
<li><b>Work client-facing:</b> you can talk through a data question with a technical lead and walk a frustrated AE through a new flow in the same afternoon</li>
<li><b>Codify what works</b> into our library of reusable plays and patterns, so every client build sharpens the whole team</li>
</ul><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<p><b>
Must-have</b></p>
<ul>
<li><b>Deep HubSpot expertise:</b> hands-on across Sales, Marketing, Service, and Operations Hubs. You know HubSpot well enough to know what is and isn't possible at the platform level, and to choose native functionality over a workaround when it's the right call.</li>
<li><b>Strong CRM and RevOps fundamentals:</b> lead lifecycle and qualification, routing and assignment, pipeline and deal-stage setup, the data model, and the governance that keeps it clean.</li>
<li><b>An admin's discipline:</b> precise, reliable, and detail-obsessed. You test before you ship, you keep data clean, and you don't let things fall through the cracks.</li>
<li><b>A builder's instinct:</b> you build workflows and integrations, debug them when they break, and aren't intimidated by APIs, webhooks, or a tool you haven't used yet.</li>
<li><b>AI-first, and we mean it literally:</b> AI is your default operating mode, not a novelty. Your first move on a problem is to reach for an agent, a prompt, or a workflow before a manual process. If you're not already using AI tools daily, this isn't the right fit. (If your CRM fundamentals are deep but your GTM-tooling experience like Clay or Claude Code is light, that part is learnable and we'll back you on it. The fundamentals and the AI-first instinct are not.)</li>
<li><b>Forward-deployed temperament:</b> comfortable building across multiple clients in parallel, client-facing, proactive, and able to move fast without waiting for perfect requirements.</li>
<li><b>Full-time availability</b> with reliable overlap to CET hours.</li>
</ul>
<p><b>Nice-to-have</b></p>
<ul>
<li><b>Salesforce:</b> admin or build experience, especially HubSpot to Salesforce sync and migrations (relevant to Groupon and enterprise work)</li>
<li><b>A working understanding of the GTM Engineer's toolkit:</b> Clay, Apify, enrichment providers (ZoomInfo, Apollo, Clearbit), scraping. Enough to collaborate, spec, and integrate. Your pod's GTM Engineer owns the deep builds.</li>
<li><b>n8n</b> orchestration and custom API integrations</li>
<li>Scripting (Python, SQL, or JavaScript) for data manipulation and custom connectors</li>
<li><b>German:</b> a good chunk of our client base is DACH</li>
<li>HubSpot certifications: a plus, never a gate. Demonstrated depth matters more.</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Get</b></h2>
<ul><li>Real client build work from day one, with no busy work and no hand-holding</li>
<li>A front-row seat in a genuinely AI-first environment: Claude Code as the operating system, Clay, and the full modern GTM stack</li>
<li>Direct collaboration with one of the most experienced RevOps leaders in Europe</li>
<li>Exposure to a wide range of B2B companies, stacks, and GTM problems</li>
<li>A seat at the table in a growing practice, not a cog in a machine</li></ul></div>

Forward-Deployed CRM Architect

REPLY

<div><div><p>Aufgaben</p><div><p><b>
Als Consultant Data Engineer (m/w/d) gestaltest du die datengetriebene Zukunft unserer Kunden aktiv mit.</b><br>
Du entwickelst moderne Datenl&ouml;sungen und innovative Datenprodukte, die Unternehmen dabei unterst&uuml;tzen, fundierte und nachhaltige Entscheidungen zu treffen. Dabei &uuml;bernimmst du unter anderem folgende Aufgaben:</p><ul><li>
Du konzipierst und implementierst leistungsstarke, skalierbare Datenarchitekturen und -produkte und bringst diese erfolgreich in den Einsatz.</li><li>
Du entwickelst und optimierst Datenpipelines f&uuml;r die Integration und Transformation unterschiedlichster Datenquellen &ndash; unter Einsatz moderner Technologien wie SQL, Python, dbt, Snowflake, Databricks sowie f&uuml;hrender Cloud-Plattformen (AWS, Azure, Google Cloud).</li><li>
Du arbeitest eng mit unseren Kunden zusammen, analysierst fachliche und technische Anforderungen und &uuml;bersetzt diese in ma&szlig;geschneiderte Data-Engineering-L&ouml;sungen mit echtem Mehrwert.</li><li>
In einem interdisziplin&auml;ren Team bringst du deine Ideen ein, gestaltest innovative L&ouml;sungen und tr&auml;gst aktiv zu einer offenen, kollaborativen Unternehmenskultur bei.</li></ul><p><b>
Bei uns hast du die M&ouml;glichkeit, Verantwortung zu &uuml;bernehmen, deine Expertise weiterzuentwickeln und echten Impact zu schaffen.</b></p></div></div><div><p>
Benefits</p><ul><div><div><div>
10 TAGE ZUR WEITERBILDUNG</div></div></div><div><div><div>
GUTE WORK-LIFE-BALANCE</div></div></div><div><div><div>
EGYM WELLPASS</div></div></div><div><div><div>
INNOVATIVES ARBEITSUMFELD</div></div></div></ul><div><ul><li><b>
Buddy-Programm:</b> Dein Buddy unterst&uuml;tzt dich beim Onboarding und hilft dir, dich schnell im Team und in unserer Unternehmenskultur zurechtzufinden</li><li><b>
Hybrides Arbeiten:</b> Eine individuell abgestimmte Mischung aus Remote Work, B&uuml;ropr&auml;senz und Eins&auml;tzen beim Kunden</li><li><b>
Innovation &amp; Vielfalt:</b> Bundesweite, branchen&uuml;bergreifende Projekte mit klarem Fokus auf Data &amp; AI</li><li><b>
Modernes Setup:</b> Hochwertige Hardware nach Wahl sowie ein internationales, teamorientiertes Arbeitsumfeld mit flachen Hierarchien und starkem Teamzusammenhalt</li></ul></div></div><div><p>
Qualifikationen</p><div><ul><li><b>
Abgeschlossenes Studium</b> z. B. in (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Studiengang</li><li>
Du hast ein grunds&auml;tzliches Verst&auml;ndnis und Interesse f&uuml;r die Themen <b>Data Products</b> und <b>Datenmodellierung</b></li><li>
Erste Projekterfahrungen in <b>Data Products, Datenmodellierung</b> und/oder <b>Data Warehousing </b>Systemen</li><li>
Erfahrungen mit mindestens eine Programmiersprache <b>(Bestenfalls Python), SQL/NoSQL</b> sowie <b>einer Data-Engineering Technologie / Plattform (dbt, Snowflake, Databricks, etc.)</b></li><li>
Zum Vorteil ist, wenn du Erfahrungen mit <b>Docker, Cloud-Technologien, DevOps-Praktiken</b> und <b>CI/CD-Prozessen</b> hast</li><li>
Du bist ein <b>kommunikativ starker Teamplayer</b>, der in L&ouml;sungen denkt und diese <b>aktiv als Berater</b> anbietet</li><li><b>
Neue Technologien</b> zu lernen ist f&uuml;r dich nicht nur Mittel zum Zweck sondern eine Leidenschaft</li><li>
Sehr gute <b>Deutsch- und Englischkenntnisse</b> runden dein Profil ab</li></ul></div></div><div><p>
Develop yourself and the digital future &ndash; at Reply!</p><div><p>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</p></div></div></div>

CONSULTANT - DATA ENGINEERING (DATA PRODUCTS) (M/W/D)

<div><div><p>Aufgaben</p><div><p>
Als <b>Senior Consultant Data Engineer (m/w/d)</b> unterst&uuml;tzt du unser Team dabei, <b>moderne Datenl&ouml;sungen</b> und <b>Datenprodukte</b> zu entwickeln sowie die Datennutzung unserer Kunden zu optimieren. Dabei entwirfst du skalierbare und effiziente <b>Datenarchitekturen</b>, integrierst neue <b>Datenverwaltungstechnologien</b> sowie Software-Engineering-Tools in bestehende Systeme und &uuml;bernimmst Verantwortung f&uuml;r komplexe Datenprojekte, um datengetriebene Entscheidungen nachhaltig zu st&auml;rken.</p><ul><li>
Unterst&uuml;tzung bei der <b>Konzeption</b> und <b>Implementierung</b> robuster und skalierbarer <b>Datenprodukte, - architekturen</b> und -<b>pipelines</b></li><li><b>
Entwicklung und Wartung</b> von Pipelines zur <b>Datenumwandung und -integration inkl. ETL Prozessen</b> aus unterschiedlichen Quellen mit z. B. <b>SQL, Python, dbt, Snowflake, Databricks sowie Cloud-Plattformen wie AWS, Azure oder Google Cloud</b></li><li><b>
Erfassen von Gesch&auml;ftsanforderungen</b> und technischen Anforderungen unserer Kunden sowie deren Umsetzung in effektive <b>Data Engineering</b>-L&ouml;sungen</li><li><b>
Begleitung und fachliches Mentoring</b> von Junior Consultants sowive F&ouml;rderung von kontinuierlichem Lernen im Team</li><li>
Als Teil eines interdisziplin&auml;ren Teams gestaltest du nicht nur technische L&ouml;sungen, sondern auch die <b>Unternehmenskultur</b> aktiv mit &ndash; durch <b>deine Beratungskompetenz, dein Engagement</b> und deine <b>Innovationsfreude</b></li></ul></div></div><div><p>
Benefits</p><ul><div><div><div>
10 TAGE ZUR WEITERBILDUNG</div></div></div><div><div><div>
GUTE WORK-LIFE-BALANCE</div></div></div><div><div><div>
EGYM WELLPASS</div></div></div><div><div><div>
INNOVATIVES ARBEITSUMFELD</div></div></div></ul><div><ul><li><b>
Buddy-Programm:</b> Dein Buddy unterst&uuml;tzt dich beim Onboarding und hilft dir, dich schnell im Team und in unserer Unternehmenskultur zurechtzufinden</li><li><b>
Hybrides Arbeiten:</b> Eine individuell abgestimmte Mischung aus Remote Work, B&uuml;ropr&auml;senz und Eins&auml;tzen beim Kunden</li><li><b>
Innovation &amp; Vielfalt:</b> Bundesweite, branchen&uuml;bergreifende Projekte mit klarem Fokus auf Data &amp; AI</li><li><b>
Modernes Setup:</b> Hochwertige Hardware nach Wahl sowie ein internationales, teamorientiertes Arbeitsumfeld mit flachen Hierarchien und starkem Teamzusammenhalt</li></ul></div></div><div><p>
Qualifikationen</p><div><ul><li><b>
Abgeschlossenes Studium </b>z. B. in (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Studiengang</li><li>
Du hast ein Verst&auml;ndnis f&uuml;r <b>Data Products, Datenmodellierung</b> und unterschiedliche Data Warehousing Systeme aus vergangenen Projekten</li><li>
Du hast die F&auml;higkeit, <b>komplexe Datenstrukturen</b> zu analysieren und daraus Erkenntnisse abzuleiten, um strategische <b>Leitlinien</b> zu entwickeln</li><li>
Zum Vorteil ist, wenn du Erfahrungen mit <b>Docker, Cloud-Technologien, Dimensional &amp; Data Vault Modelling</b> sowie mit <b>DevOps-Praktiken</b> und <b>CI/CD-Prozessen</b> hast</li><li>
In vergangenen Projekten bist du bereits mit mindestens einer der <b>Programmiersprachen (Bestenfalls Python) und SQL/NoSQL etc.</b> in Kontakt gekommen</li><li>
Mit deiner <b>offenen</b> Art und klaren <b>Kommunikation</b> gelingt dir die Zusammenarbeit im Team ebenso wie der professionelle Austausch mit unseren Kunden</li><li>
Komplexe Herausforderungen gehst du strukturiert an und entwickelst dabei <b>effiziente</b> sowie kreative <b>L&ouml;sungsans&auml;tze</b></li><li>
In unseren Teams kommunizierst du <b>gut auf Deutsch</b> und <b>flie&szlig;end auf Englisch</b></li></ul></div></div><div><p>
Develop yourself and the digital future &ndash; at Reply!</p><div><p>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</p></div></div></div>

SENIOR CONSULTANT - DATA ENGINEERING (M/W/D)

Numa

<div><div><h3 class="jobSectionHeader"><b>ABOUT NUMA</b></h3>
<p>
Hey there! We're Numa, a forward-thinking hospitality brand redefining how people discover cities. We create spaces where simplicity meets innovation, offering thoughtfully designed rooms, studios, and apartments in the heart of Europe's most vibrant neighbourhoods.<br>
We're not just transforming the guest experience&mdash;we're revolutionizing the hospitality industry from the inside out. Our cutting-edge technology streamlines operations, delivering unparalleled value with no hidden fees&mdash;just real, quality experiences.<br>
At Numa, we believe that travel should be curious and authentic, and we bring those same values to our work culture. As part of our team, you'll experience a dynamic and supportive environment where creativity thrives, and your contributions make a real impact. We're committed to fostering a diverse, inclusive, and equitable workplace where every voice is valued, and different perspectives fuel our innovation.</p></div><h3 class="jobSectionHeader"><b>
WHY THIS ROLE EXISTS</b></h3>
<p>
Anyone can stand up a warehouse. The hard part is taking a good data foundation and making the whole organisation trust it, use it, and decide with it. That's where Numa is. Having grown to 40 cities across Europe in just six years, we already have a solid data stack and most of our data centralised in the warehouse. The opportunity now is to take it to the next level: from data that's <i>available</i> to data that's <i>proven, accurate, and trusted enough to drive commercial decisions</i> &mdash; and to bring the remaining pockets that still live in spreadsheets into the same foundation.</p>
<p>
The order matters: good process creates trusted data, trusted data creates KPIs leaders can decide on, and only then does AI add real leverage rather than noise. We're already experimenting with AI analytics; this role makes that robust &mdash; better practices, higher trust, and data that is genuinely AI-ready, so the experiments become a dependable capability.</p>
<p>
Just as important is the human side: raising data literacy across the company and enabling department heads to own and self-serve their own numbers, so good data drives everyday decisions rather than sitting in a central team's queue. This role owns that shift &mdash; not as an engineer who builds pipelines or an analyst who pulls numbers, but as the person who sets the data strategy, translates commercial needs into a scalable architecture, and lifts the whole organisation's data maturity.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL OWN</b></h3>
<p>
You sit at the intersection of three things, and the rare skill is connecting them:</p>
<ul>
<li><b>Commercial translation.</b> This is the core of the job. You partner with Finance, Real Estate, HR, Growth to understand what they actually need, then translate that into the right data strategy &mdash; scalable and sustainable, not a one-off.<br>
</li>
<li><b>Quality, trust, and AI-readiness.</b> You take our data from available to dependable &mdash; proven, accurate, and high-quality enough that leaders decide on it without a second source. That includes bringing the remaining data still living in spreadsheets into the shared foundation, and raising the bar on governance and quality across the board. It's as much about people as architecture: making the shared, trusted version the obvious choice, and lifting data literacy so teams use it well. This is also what makes our AI analytics robust rather than experimental &mdash; trustworthy, well-modeled data is the precondition for AI that can be relied on, and you make that foundation real.<br>
</li>
<li><b>Strategy &amp; architecture direction.</b> You set the direction for the data stack &mdash; what each layer is for, what we should test, what we adopt or retire &mdash; and you bring rigour and challenge to those choices. You don't own or run the platform; our Data Engineering lead owns execution and does it well, with strong opinions of his own and the standing to challenge you back. Your job is the strategic counterpart to that: pushing new solutions, pressure-testing the architecture, and making sure every layer earns its place &mdash; so the stack is challenged by more than one person. You need a clear, opinionated grasp of the options and the judgment to make build/buy/test calls without being attached to any one technology.</li>
</ul><h3 class="jobSectionHeader"><b>WHAT WE'RE LOOKING FOR</b></h3>
<ul><li>Senior judgment on the modern data stack &mdash; you can explain what a semantic layer is, what a warehouse is, what the credible options are, and defend a stack choice (and argue the opposite). Depth in any single tool is welcome but not the bar.</li>
<li>A track record of <b>commercial translation</b> &mdash; you've sat with non-technical business teams, understood their domain well enough to model it, and turned that into durable data structures. This is the disqualifying gate: strong elsewhere but weak here is a no.</li>
<li>A track record of <b>raising data maturity</b> &mdash; taking a working data setup to the next level on quality, governance, and trust, and consolidating the last pockets of siloed data into a shared foundation. Bonus if you've won over the people who were attached to their own spreadsheets.</li>
<li>An <b>AI-ready mindset</b> &mdash; you treat AI fluency as the payoff of clean, governed data, and know how to make AI analytics trustworthy and robust rather than experimental.</li>
<li>Comfortable as a peer to senior commercial leaders; credible with both a GM and a C-level audience.</li>
</ul><div><h3 class="jobSectionHeader"><b>ABOUT OUR OFFER</b></h3>
<ul><li><b>Empower your career:</b> Thrive in a fast-paced, collaborative environment where your ideas help shape our future. Enjoy opportunities for professional growth and build a fulfilling career path.</li>
<li><b>Experience our brand:</b> Immerse yourself in the Numa lifestyle with a complimentary stay. Share the love with friends and family through exclusive discounts on our stylish apartments. Connect with a global community of colleagues at our inspiring team-building events.</li>
</ul>
<p>Numa <i>values the diversity of the people it hires and serves. Diversity at our company means fostering a workplace in which individual differences are recognised, appreciated, respected and responded to in ways that fully develop and utilise each person's talents and strengths. We therefore welcome applications from people of all races, ethnicities, disability statuses, ages, religions, gender identities, and sexual orientations.</i><br>
<br>
<i>For more information on the processing of your personal data, please see our </i><i>Privacy Notice</i><i>.</i></p></div></div>

Head of Data (m/f/d)

RSG Group GmbH

<div>
 <p>
  Mit mehr als 4,5 Millionen Mitgliedern in ihren Studios ist die
  <strong>
   RSG Group
  </strong>
  eines der weltweit f&uuml;hrenden Unternehmen im Bereich Fitness. Die 1997 von Rainer Schaller gegr&uuml;ndete - und sich nach wie vor im Familienbesitz befindende - RSG Group hat sich zu einem international t&auml;tigen Unternehmen entwickelt. Inklusive ihrer Franchisenehmer besch&auml;ftigt sie 10.000 Mitarbeitende an &uuml;ber 900 Standorten und ist in mehr als 30 L&auml;ndern vertreten. Das umfangreiche und zukunftsorientierte Portfolio umfasst 9 innovative Marken, dazu z&auml;hlen unter anderem Gold's Gym, McFIT und die JOHN REED Family. Die RSG Group setzt immer wieder neue Ma&szlig;st&auml;be und sorgt somit daf&uuml;r, wesentlicher Bestandteil des aktiven Alltags ihrer Kundinnen und Kunden zu sein.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WAS DU GEWINNST
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Sei du selbst:
   </strong>
   Komm so, wie du bist &ndash; bei uns wird Individualit&auml;t gesch&auml;tzt.
  </li>
  <li>
   <strong>
    Sichere Zukunft:
   </strong>
   Ein unbefristetes Besch&auml;ftigungsverh&auml;ltnis bietet dir Stabilit&auml;t und Sicherheit.
  </li>
  <li>
   <strong>
    Work-Life-Balance:
   </strong>
   Nutze die Home-Office-Option und flexible Arbeitszeiten, um Arbeit und Privatleben optimal zu gestalten.
  </li>
  <li>
   <strong>
    Fit und gesund:
   </strong>
   Nutze die kostenlose Mitgliedschaft bei McFIT, John Reed und Gold&rsquo;s Gym europaweit.
  </li>
  <li>
   <strong>
    Verschenke Fitness:
   </strong>
   Schenke einer Person aus deinem Bekanntenkreis eine Mitgliedschaft bei McFIT, John Reed und Gold&rsquo;s Gym europaweit.
  </li>
  <li>
   <strong>
    Extra Verg&uuml;tung:
   </strong>
   Freu dich auf 13 Geh&auml;lter inklusive Urlaubs- und Weihnachtsgeld.
  </li>
  <li>
   <strong>
    Mobilit&auml;t vs. Shoppen:
   </strong>
   Sichere dir anteilig dein Jobticket oder einen sachbezogenen Voucher. Zudem erwarten dich Shoppingrabatte bei unseren Partnern.
  </li>
  <li>
   <strong>
    Teamgef&uuml;hl:
   </strong>
   Erlebe flache Hierarchien und eine offene Kommunikation auf Augenh&ouml;he. Nimm an regelm&auml;&szlig;igen Team- und Firmenevents teil und st&auml;rke den Zusammenhalt. Verbringe entspannte Pausen in unserer voll ausgestatteten K&uuml;che, ideal f&uuml;r gemeinsame Feierlichkeiten.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WAS DU BEI UNS BEWEGST
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Du wirst Teil eines kleinen, hoch spezialisierten Data-Teams (4 Engineers + Head of Data), das die zentrale Cloud-Datenplattform der RSG Group betreibt und weiterentwickelt &ndash; die Datenbasis hinter Marken wie McFIT, JOHN REED und Gold's Gym.
 </p>
 <p>
  Im Team arbeiten heute Kolleg:innen mit klaren Schwerpunkten in Governance &amp; Architektur, Data Science, AI/NLP und MarTech. Du erg&auml;nzt dieses Setup als technischer Allrounder mit Engineering-Tiefe &ndash; jemand, der die Plattform end-to-end versteht, L&uuml;cken zwischen den Spezialgebieten schlie&szlig;t und das technische Gesamtniveau hebt.
 </p>
 <p>
  Diese Rolle umfasst folgende Aufgabenbereiche:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    ELT-Plattform weiterentwickeln:
   </strong>
   Du gestaltest unsere ELT-Strecke von der weitgehend automatisierten Quellanbindung (Fivetran) &uuml;ber die Transformation (Coalesce) bis zum Datenmodell im Snowflake-DWH mit &ndash; inklusive Performance, Skalierbarkeit und Cost Management.
  </li>
  <li>
   <strong>
    Datenmodellierung mit Substanz:
   </strong>
   Du arbeitest aktiv an unserer Modellierung (Data Vault 2.0, Star/Snowflake Schema) und stellst sicher, dass sie wartbar und konzerntauglich bleibt &ndash; im engen Austausch mit unserem Architecture-Lead.
  </li>
  <li>
   <strong>
    Predictive Use-Cases mit Impact:
   </strong>
   Gemeinsam mit den DS-/AI-Kolleg:innen entwickelst und produktivierst du ML-Modelle entlang des Member Lifecycles (Churn, Retention, Propensity, Forecasting) &ndash; mit Schwerpunkt passend zu deinem Profil.
  </li>
  <li>
   <strong>
    Datenqualit&auml;t &amp; Governance in der Praxis:
   </strong>
   Du setzt etablierte Standards in den Pipelines konsequent um (Data Cataloging, Column-Level Lineage, DSGVO-Compliance) und entwickelst sie mit dem Team weiter.
  </li>
  <li>
   <strong>
    Single Source of Truth:
   </strong>
   Du &uuml;bersetzt fachliche KPI-Definitionen aus Controlling und Fachbereichen in nachhaltige, konzernweit nutzbare Datenmodelle.
  </li>
  <li>
   <strong>
    DataOps:
   </strong>
   CI/CD, Testing, Monitoring, Alerting &ndash; du bringst Engineering-Best-Practices in den Alltag.
  </li>
  <li>
   <strong>
    Stakeholder &amp; &Uuml;bersetzung:
   </strong>
   Du arbeitest direkt mit Fachbereich, Controlling und Dienstleistern und machst aus fachlichen Anforderungen tragf&auml;hige technische L&ouml;sungen.
  </li>
  <li>
   <strong>
    Tech-Scouting:
   </strong>
   Du evaluierst neue Tools und Patterns und treibst die technische Zielarchitektur &ndash; im Rahmen der Datenstrategie des Bereichs &ndash; als gleichberechtigte Stimme im Team mit voran.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WAS UNS &Uuml;BERZEUGT
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    6+ Jahre Berufserfahrung
   </strong>
   im Data Engineering, davon mehrere mit echter Verantwortung in einer modernen Cloud-Datenarchitektur.
  </li>
  <li>
   <strong>
    Abgeschlossenes Studium
   </strong>
   (Informatik, Wirtschaftsinformatik, Statistik o. &auml;.) oder vergleichbare Praxiserfahrung.
  </li>
  <li>
   <strong>
    Tech-Stack &ndash; Must-have:
   </strong>
  </li>
  <li>
   SQL &amp; Python &ndash; Entwicklung und Betrieb produktiver Datenpipelines
  </li>
  <li>
   Snowflake (oder vergleichbares Cloud DWH) &ndash; Architektur, Performance-Optimierung und Cost Management
  </li>
  <li>
   ELT-Stack &ndash; Fivetran, Coalesce, dbt oder vergleichbare Technologien
  </li>
  <li>
   Datenmodellierung &ndash; Data Vault 2.0, Star-/Snowflake-Schema oder &auml;hnliche Methoden
  </li>
  <li>
   <strong>
    Predictive Modelling:
   </strong>
   Erfahrung im Bau und Produktivieren von ML-Modellen (Klassifikation, Forecasting) inkl. Feature Engineering &ndash; du musst kein Research-DS sein, solltest dich aber im gesamten Modell-Lifecycle wohlf&uuml;hlen.
  </li>
  <li>
   <strong>
    Governance &amp; DataOps:
   </strong>
   Solides Verst&auml;ndnis von DSGVO, Lineage, Cataloging sowie CI/CD, Testing und Git im Datenkontext.
  </li>
  <li>
   <strong>
    MarTech (Grundverst&auml;ndnis):
   </strong>
   Grundkenntnisse von Customer Data Platforms und Data-Activation-Stacks (z. B. Segment, Braze, Talon.One) sowie von RESTful APIs und Webhooks.
  </li>
  <li>
   <strong>
    Strukturierte Arbeitsweise:
   </strong>
   Eigenverantwortlich, agil (2-Wochen-Sprints), pragmatisch.
  </li>
  <li>
   <strong>
    Kommunikation:
   </strong>
   Du kannst mit Fachbereich und Controlling auf Augenh&ouml;he sprechen und technische Themen adressatengerecht erkl&auml;ren.
  </li>
  <li>
   <strong>
    Sprachkenntnisse:
   </strong>
   Du kommunizierst sicher auf Deutsch (mind. B2-Niveau) und kannst technische Themen sowie Dokumentationen problemlos auf Englisch verstehen, erstellen und diskutieren.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   PASSEN WIR ZUSAMMEN?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Die RSG Group bietet dir seit mehr als 25 Jahren eine einzigartige Unternehmenskultur mit Platz f&uuml;r Pers&ouml;nlichkeit: Wir betrachten Menschen als Menschen und somit als wertvoll f&uuml;r uns alle. Wir f&ouml;rdern und fordern. Wenn du somit talentiert bist und zu uns passt, erh&auml;ltst du bei uns die Chancen und Herausforderungen, nach denen du schon immer gesucht hast.
 </p>
 <p>
  Wir freuen uns auf dich!
 </p>
 <p>
 </p>
 <p>
  RSG Group GmbH | Dein Karriere-Team | Saarbr&uuml;cker Stra&szlig;e 38 | 10405 Berlin
 </p>
</div>


Senior Data Engineer (w/m/d) – Platform & Analytics

Beam AI

<div><p>Beam AI is building the operating layer for AI-native enterprises. Our platform helps organisations automate complex workflows using self-learning AI agents that continuously improve through real-world usage. From fast-growing startups to Fortune 500 companies, we help teams move beyond experimentation and deploy AI that delivers measurable business outcomes.</p><p>
We're building a future where AI doesn't just assist work&mdash;it becomes an active part of how organisations operate, learn, and scale. To learn more, visit https://beam.ai/ .</p>
About the Team<p>
Beam's GTM team is responsible for bringing AI agents into real enterprise environments. We work closely across sales, marketing, product, and deployment to identify high-value use cases, shape solutions, and help customers realise measurable outcomes.</p><p>
This is not a traditional SaaS sales organisation. We're still defining what great looks like, building new motions, and creating repeatable ways to bring AI into enterprise operations. You'll work alongside experienced GTM leaders, Account Executives, and Solutions Engineers in a highly collaborative environment focused on learning, experimentation, and execution.</p>
About the Role<p>
Beam AI is building an AI agent platform for enterprise automation, and we're scaling our outbound motion as demand for AI agents continues to grow.</p><p>
We're hiring an SDR to help build the top of our pipeline. You'll identify and research high-priority target accounts, engage senior stakeholders through thoughtful outbound outreach, qualify inbound interest, and partner closely with Account Executives and GTM Leads to create and progress strategic opportunities.</p><p>
This is a high-impact role within Beam's GTM team. You'll run outbound messaging, discovery, and qualification across Beam's most strategic accounts while operating inside live enterprise sales cycles alongside AEs and GTM leadership. You'll help create the first conversations that become meaningful opportunities and gain direct exposure to how complex AI deals are won.</p><p>
You will work closely with AEs, Vertical Leads, Marketing, and Solutions Engineering to identify the right accounts, craft compelling outreach, and convert curiosity into qualified meetings. Along the way, you'll receive coaching and feedback from experienced GTM leaders, gain hands-on exposure to enterprise sales processes, and develop skills that can grow into broader GTM, Account Executive, or commercial leadership opportunities over time.</p>
Responsibilities<ul><li>
Research target accounts, identify decision-makers, and personalise outreach with insight that reflects each prospect's business context.</li><li>
Qualify inbound leads against ICP criteria and route them to the relevant AE at speed.</li><li>
Generate qualified meetings for Account Executives through targeted, multi-channel outbound (email, phone, LinkedIn, video).</li><li>
Partner with AEs and GTM Leads on account planning, territory strategy, and outbound sequencing.</li><li>
Maintain disciplined CRM hygiene, accurate pipeline data, and clean handoff notes.</li><li>
Proactively collaborate with the marketing team to run experiments on messaging, sequences, and channels feed learnings back into the GTM team.</li><li>
Consistently achieve or exceed monthly targets across qualified meetings booked, accepted opportunities, pipeline generated or influenced, CRM quality, and outbound performance metrics.</li><li>
Stay current on the AI agent space, Beam's product, and the industries we sell into to hold an informed conversation with senior buyers.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Track record of high performance through SDR/BDR roles, internships, entrepreneurial projects, competitive environments, student sales organisations, or other goal-oriented experiences.</li></ul><ul><li>
Strong written and verbal communication skills with a sharp grasp of the AI agent space, able to hold credible, influential conversations with enterprise stakeholders from day one.</li><li>
Hands-on experience with a CRM (Salesforce, HubSpot) and outbound tools (Outreach, SalesLoft, Apollo, or equivalent).</li><li>
Strong interest in AI, automation, or enterprise software.</li><li>
Track record of meeting or exceeding pipeline / meeting targets.</li></ul>
Nice to Have<ul><li>
Prior experience selling into operations, customer experience, finance, IT, or regulated industries.</li><li>
Exposure to AI, automation, RPA, or workflow software categories.</li><li>
Multi-language fluency (German strongly preferred for EU-focused territory).</li><li>
Familiarity with verticalized GTM motions or named-account selling.</li><li>
Experience contributing to outbound playbook or sequence design.</li><li>
Background in a high-growth startup environment.</li></ul><br>
<b>
Benefits</b><p><br>
At Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply &mdash; about craft, about speed, and about doing work that actually matters. You won't find rigid hierarchies or endless process here. You'll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.</p><p>
Our culture is shaped by our values in action:</p><ul><li><b>
AI-native thinking &mdash;</b> Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn't just what we build, it's how we operate.</li><li><b>
Customer obsession &mdash;</b> We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.</li><li><b>
Speed as a habit &mdash;</b> We ship fast, learn faster, and prioritise unblocking over perfection. We favour small experiments with tight feedback loops.</li><li><b>
Leverage-focused execution &mdash;</b> We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.</li><li><b>
Highly aligned, loosely coupled &mdash;</b> We align on outcomes, not tasks. You'll work independently, but never in isolation.</li><li><b>
Data-driven, human-guided &mdash;</b> We seek clarity over comfort, speak up early, and use feedback to grow together.</li></ul><p>
If this sounds like the kind of work you want to do and the kind of team you want to grow with, we'd love to hear from you.</p></div>

Associate Enterprise SDR (m/w/d)

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