(junior) fullstack engineer (m/f/d) for a new product

ai engineer (m/f/d)

data scientist

devops engineer

full stack engineer

senior data engineer

data pipeline engineer

adsquare GmbH

<div><div>Berlin</div><div>
Full-time</div><div>
Permanent employee</div><div>
60,000 - 75,000 &euro; per year</div></div>
<br><div><div><h2 class="jobSectionHeader"><b>Intro</b></h2><div><div>
At Adsquare, our mission is driven by our core focus: <b>Passion</b> &ndash; Solving complex challenges with great people, tech, and data. <b>Niche</b> &ndash; Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do:</div><ul><li><div><b><br>
Drive:</b> We turn ambition into action.</div></li><li><div><b>
Resilience:</b> We adapt, persevere, and grow stronger.</div></li><li><div><b>
No BS:</b> We value honesty, transparency, and clear communication.</div></li><li><div><b>
Humble:</b> We choose modesty over vanity and let results speak for themselves.</div></li><li><p><b>
Moral Compass:</b> We do the right thing with fairness, integrity, and respect.</p></li></ul><div>
We seek candidates who not only bring excellent technical expertise but also embody these values in every aspect of their work.</div></div></div><div><h2 class="jobSectionHeader"><b>
Your Mission</b></h2><div><div><b>
Key Responsibilities</b></div><ul><li><div><b><br>
Pipeline Engineering:</b> Build, deploy, and maintain robust transformation pipelines for high-volume data. You will participate in the full lifecycle: ingestion, transformation, <b>testing (unit/integration)</b>, deployment, and monitoring.</div></li><li><div><b>
Optimization &amp; Maintenance:</b> Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs).</div></li><li><div><b>
Software Engineering Best Practices:</b> Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing.</div></li><li><div><b>
Data Quality &amp; Observability:</b> Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders.</div></li><li><p><b>
Collaboration &amp; Growth:</b> Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><div><div>
We are looking for a <b>Data Analytics Engineer</b> who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms.</div><div><b>
This is not a Data Analyst role.</b> While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations. You will ensure our pipelines remain reliable, cost-effective, and maintainable.</div><div>
We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data.</div><div><b><br>
Must-Have Skills</b></div><ul><li><div><b><br>
2+ years of experience specifically in Analytics Engineering or Data Engineering</b>.</div></li><li><div><b>
Solid Python proficiency:</b> You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging.</div></li><li><div><b>
Strong skills in SQL &amp; dbt:</b> You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans.</div></li><li><div><b>
Software Engineering Fundamentals:</b> Hands-on experience with <b>Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI)</b>, and <b>Containerization (Docker)</b>.</div></li><li><div><b>
AWS Cloud Native Experience:</b> Experience building and maintaining data workflows using serverless architectures such <b>AWS Lambda, StepFunctions, Glue, and Athena</b>.</div></li><li><div><b>
Testing Mindset:</b> Experience implementing <b>Unit Tests and Integration Tests</b> for data pipelines rather than relying solely on manual checks.</div></li><li><p><b>
Data Warehouse Ops:</b> Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b><br>
Nice to Have
</b></h2><div><ul><li><div>Experience with <b>Infrastructure as Code (Terraform)</b> to manage cloud resources.</div></li><li><div>
Experience with orchestration tools like <b>Airflow, Dagster, or Prefect</b>.</div></li><li><div>
Knowledge of big data processing frameworks (Spark/PySpark).</div></li><li><div>
Experience with agentic coding CLI or IDE tools for more efficient planning, architecting and implementation of features.</div></li><li><div>
Familiarity with dashboarding tools (Streamlit, Preset, Tableau, etc.) &ndash; <i>Note: This is helpful for debugging and monitoring, but not the core function of the role</i>.</div></li><li><p>
B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Why us?
</b></h2><div><div>On top of a competitive package&hellip;</div><ul><li><div><br>
We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year.</div></li><li><div>
To encourage education and professional growth, we offer an individual yearly budget of 1.200&euro;.</div></li><li><div>
You are entitled to 30 vacation days per year.</div></li><li><div>
We offer Urban Sports Club membership, company pension scheme.</div></li><li><div>
Regular team events and company events organised by our People team (Trust us, they know how to throw a party!).</div></li><li><p>
We equip you with the latest hardware and provide you with all the tools you need to thrive.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Salary Range (Annual On-Target Earnings)</b></h2><div>
60,000 - 75,000 euros</div></div><div><h2 class="jobSectionHeader"><b>
Recruiting Process</b></h2><div><div>
For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the &quot;Other Documents&quot; section of the application form.<br>
Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage.</div><ul><li><div><b><br>
Step 1:</b> Value-based interview (30 mins).</div></li><li><div><b>
Step 2:</b> Deep-dive technical interview (1.5 hours) with the Data team.</div></li><li><div><b>
Step 3:</b> Practical data-crunching challenge.</div></li><li><p><b>
Step 4:</b> Team Meet &amp; Greet &mdash; the final step to ensure we're a great fit for each other.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Work model</b></h2><div>
Hybrid</div></div><div><h2 class="jobSectionHeader"><b>
Desired start date</b></h2><div>
As soon as possible</div></div></div>
<br><div><h2 class="jobSectionHeader"><b>About us</b></h2><div><p>
Adsquare is the global audience &amp; location intelligence company making marketing a whole lot smarter.<br>
<br>
With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.</p>
We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.<br>
<br>
We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we&rsquo;re doing because the work is never done.<br>
<br>
We believe in what we do and rise to meet our own high standards. If there&rsquo;s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.<br>
<br>
We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.<br>
<br>
We are consistent and true to our word. We don&rsquo;t take shortcuts but focus on being our clients&rsquo; most reliable partner. We make promises - and we keep them. As a result, clients enjoy spending time with us, because we are good people.</div></div>

Data Analytics Engineer (m/f/d)

Almedia

<div>
 This isn&rsquo;t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We&rsquo;re aiming to become Germany&rsquo;s second bootstrapped unicorn. Almedia is already Europe&rsquo;s #3 fastest-growing company in 2025 (FT1000).
 <br/>
 <br/>
 We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers&rsquo; products. We are offering a new way to acquire users for the biggest companies in the world.
 <br/>
 <br/>
 <strong>
  Data Engineer
  <br/>
  <br/>
 </strong>
 You&rsquo;ll design, implement, scale, and maintain the code that powers our production environment. With real freedom to innovate, you&rsquo;ll shape the next generation of our data and backend platform&mdash;connecting APIs, pipelines, self-managed and cloud infrastructure to deliver fast, reliable, high-impact systems.
 <br/>
 <br/>
 <strong>
  A highly technical mindset and a drive to improve daily are essential.
  <br/>
  <br/>
 </strong>
 <strong>
  What You&rsquo;ll Do 🎯
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build Python APIs and backend services that power internal and third-party integrations
  </li>
  <li>
   Develop and operate end-to-end data pipelines, from ingestion to persistence across GCP services
  </li>
  <li>
   Build high-frequency, event-driven systems for real-time and asynchronous data processing
  </li>
  <li>
   Apply strong data modeling and database design principles for structured and semi-structured data
  </li>
  <li>
   Write clean, testable, production-grade code with strong coverage and CI/CD discipline
  </li>
  <li>
   Drive observability, performance, and reliability across backend and data systems
  </li>
  <li>
   Own services end-to-end &mdash; from schema and API design to deployment and monitoring
  </li>
  <li>
   Use modern cloud and automation practices (IaC tools like Terraform, containers, orchestration)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring 💡
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience in backend or data engineering
  </li>
  <li>
   Strong skills in Python and SQL
  </li>
  <li>
   Hands-on experience with cloud platforms (AWS or GCP) and data warehouse design (using BigQuery or Snowflake)
  </li>
  <li>
   Solid engineering discipline &mdash; CI/CD, testing, microservices, and end-to-end ownership
  </li>
  <li>
   Understanding of data modeling, schema design, and performance optimization
  </li>
  <li>
   Familiarity with orchestration tools (Airflow, Dagster) and observability practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with API integrations (CRM, attribution, or marketing systems)
  </li>
  <li>
   Exposure to containerization (Docker, Kubernetes)
  </li>
  <li>
   Knowledge of data testing frameworks or event-driven architectures
   <br/>
   <br/>
  </li>
 </ul>
 Why Almedia? 🎁
 <br/>
 <br/>
 <ul>
  <li>
   Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
  </li>
  <li>
   Scale With Almedia: Grow alongside a startup that has been profitable from day one.
  </li>
  <li>
   Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
  </li>
  <li>
   Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
   <br/>
   <br/>
  </li>
 </ul>
 We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
</div>


Data Engineer

Upvest

<div><p>At Upvest, we are on a <b>mission to make investing as easy as spending money</b>. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest&rsquo;s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business.</p><p>
We are proud to partner with Europe&rsquo;s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by &euro;280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest &euro;105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience.</p><p></p><h1 class="jobSectionHeader"><b>
About the role:</b></h1><p>
Upvest's data platform powers near real-time financial analytics about operations across trading, payments, risk, and compliance. We're building the next generation of our data infrastructure - an Iceberg-backed Lakehouse and CDC-powered pipelines that give engineers, analysts, and business users a single, reliable place to work with data at scale. You'll own our Kafka consumer and CDC pipelines, help architect and deliver the Lakehouse foundation, and act as a trusted consultant for data integration, modelling, and schema design across the organization. If you care about reliability, scalability, and lowering the barrier to working with data - this is your role.</p><p>
We are open to hire remotely in Europe for this role.</p><div><br>
</div><h1 class="jobSectionHeader"><b>
What you&rsquo;ll do:</b></h1><ul><li><p>
Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data</p></li><li><p>
Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform</p></li><li><p>
Design, build and maintain foundational data serving layers that scale and serve the use cases of engineering and analytics alike</p></li><li><p>
Act as a data consultant across the organization - advising on data integration, modelling, and schema design for teams building on or contributing to the platform</p></li><li><p>
Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently</p></li><li><p>
Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog</p></li><li><p>
Work closely with product engineering teams to ensure reliable, timely data availability</p></li><li><p>
Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
What you bring:</b></h1><ul><li><p>
Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure</p></li><li><p>
Experience with Python, Go or another systems-level language for building data infrastructure</p></li><li><p>
Solid SQL skills for data transformation, modelling, and staging layer development</p></li><li><p>
Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources</p></li><li><p>
Experience working with cloud providers such as GCP, AWS, or Azure (we run primarily on GCP)</p></li><li><p>
Experience with schema design and data modelling principles - able to advise teams across the organization</p></li><li><p>
Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.)</p></li><li><p>
A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions</p></li><li><p>
Strong communication skills and ability to promote data literacy across the organization</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
It&rsquo;s great if you have:</b></h1><ul><li><p>
Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar)</p></li><li><p>
Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space</p></li><li><p>
Experience with building Agentic AI</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How we Upvest in you:</b></h1><ul><li><p><b>
Best-in-class AI tools: </b>Every Upvenger has &euro;20,000 per year to spend on the best AI tools available &mdash; so you're always working with the most powerful models and tooling on the market.</p></li><li><p><b>
Impact-driven work:</b> We&rsquo;re building the infrastructure that will power the future of investing in Europe. It&rsquo;s complex, ambitious, and meaningful. You&rsquo;ll work with modern technologies and create something entirely new. No legacy systems, no limits.</p></li><li><p><b>
Wellbeing:</b> Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest.</p></li><li><p><b>
Development:</b> Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it.</p></li><li><p><b>
Flexible work environment:</b> Work from any of our hubs in Berlin, London or Tallinn hybrid or remotely across Europe, depending on the role. We give you the choice and budget to work where you&rsquo;re most comfortable and productive, either at home or in the office. You choose.</p></li><li><p><b>
Compensation and equity:</b> We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program.</p></li><li><p><b>
Team celebrations:</b> Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements.</p></li><li><p><b>
Inclusion</b>: We&rsquo;re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Our Values:</b></h1><ul><li><p><b>
Make it easy for others.</b> We simplify the complex and act with the best intentions.</p></li><li><p><b>
Own the outcome.</b> We are proactive, fast and confident to get the job done, valuing progress over perfection.</p></li><li><p><b>
Rise to the challenge.</b> We aim high and push the boundaries. We stay curious, learn and celebrate our wins together.</p></li><li><p><b>
Tell the story.</b> We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others.</p></li></ul><p>
Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p></div>

Senior Data Product Engineer (f/m/d)

Future Energy Services GmbH

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer</b></h1><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About trawa</b></h2><div></div><p><br>
European energy costs are twice as high as in the United States and China. Electricity demand is expected to double by 2050. Market price volatility and complexity are here to stay - and the backbone of Europe's industrial economy is at risk.</p><div></div><p><br>
At trawa, we're building the solution: an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product. That integration unlocks up to 30% in recurring electricity cost savings while helping companies make the switch to renewables.</p><div></div><p><br>
We're a Berlin-based scale-up of around 100 people. We've raised over &euro;35M to date - including a &euro;24M Series A in May 2025 - backed by Balderton, Headline, Speedinvest, AENU, Magnetic, and Tiny VC. All three founders are fully committed to building the utility of the future.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
The Team</b></h2><div></div><p><b><br>
Data Intelligence (DINTEL)</b> is an engineering team that owns trawa's data pipelines, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, to invoicing and self-service analytics.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><div></div><p><br>
We're looking for a <b>Senior Data Engineer</b> to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role. You'll work across production systems at scale - defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.</p><p>
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills.<br>
<br>
This role follows a hybrid working model. We expect team members to spend around 2-3 days per week in our Berlin office. There are no fixed office days and we don't monitor attendance strictly, but regular in-person collaboration is an important part of how we work.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><div></div><ul><li><p><br>
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS</p></li><li><p>
Define and evolve data quality standards, observability practices, and operational controls across the platform</p></li><li><p>
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions</p></li><li><p>
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business</p></li><li><p>
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation</p></li><li><p>
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making</p></li><li><p>
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt</p></li><li><p>
Identify and address technical debt, improving platform reliability, scalability, and developer experience</p></li><li><p>
Communicate the value and impact of platform improvements to engineering and business stakeholders</p></li><li><p>
Diagnose and resolve complex data and performance challenges across multiple systems and services</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Your First 90 Days</b></h2><div>
</div><h3 class="jobSectionHeader"><b>
First 6 Weeks - Getting Oriented</b></h3><ul><li><p>
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services</p></li><li><p>
Begin contributing to production systems and taking ownership of key platform components</p></li><li><p>
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement</p></li></ul><h3 class="jobSectionHeader"><b>
By Month 3 - Building Momentum</b></h3><ul><li><p>
Take ownership of significant platform components and drive improvements with growing independence</p></li><li><p>
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan</p></li><li><p>
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Gain</b></h2><div></div><ul><li><p><br>
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics</p></li><li><p>
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility</p></li><li><p>
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team</p></li><li><p>
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase</p></li><li><p>
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><p><br>
We know that great candidates don't always match every requirement. If you're excited about the role and believe you can contribute to our mission, we'd love to hear from you, even if your experience doesn't perfectly align with every qualification listed.</p><h2 class="jobSectionHeader"><b><br>
Core Requirements</b></h2><ul><li><p>
5+ years of experience in data engineering or a related field</p></li><li><p>
Strong SQL and Python skills</p></li><li><p>
Experience building and operating production data systems</p></li><li><p>
Experience collaborating across teams to deliver technical projects</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div></div><ul><li><p><br>
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS</p></li><li><p>
Experience with workflow orchestration tools such as Airflow</p></li><li><p>
Familiarity with energy markets, time-series data, or operational data platforms</p></li><li><p>
Experience in a technical leadership role</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What Helps You Succeed Here</b></h2><ul><li><p>
Experience designing scalable and reliable data systems</p></li><li><p>
Enjoy mentoring and supporting the growth of teammates</p></li><li><p>
Comfort navigating ambiguity and helping bring clarity to complex problems</p></li><li><p>
Strong communication and stakeholder-management skills</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Why Join Us</b></h2><div></div><p><br>
<b>Real impact</b> - Join one of Europe's fastest-growing B2B energy platforms at a pivotal moment. Your work will directly support systems that help industrial companies cut costs and go green.</p><div></div><p><br>
<b>Early ownership</b> - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.</p><div></div><p><br>
<b>Mentorship that matters</b> - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.</p><div></div><p><br>
<b>Learning culture</b> - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.</p><div></div><p><br>
<b>Inclusive by design</b> - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.</p><div></div><p><br>
<b>Solid benefits</b> - A competitive package covering wellbeing, learning, and team experiences.</p></div>

Senior Data Engineer

ALMETRA

<div><p>We&rsquo;re looking for a backend engineer who thrives in fast-moving environments and enjoys building robust systems end-to-end. You&rsquo;ll work across data pipelines, APIs and infrastructure, ensuring our platform runs efficiently and scales cleanly as we grow.</p><p><b>
Your role</b></p><ul><li><p>
Develop and maintain backend features and APIs for our core platform</p></li><li><p>
Improve database performance, reliability and real-time data processing</p></li><li><p>
Debug, profile and optimise code to keep latency low and systems stable</p></li><li><p>
Collaborate with AI, frontend and product teams to integrate new capabilities</p></li><li><p>
Contribute to architectural decisions and shape the evolution of our backend stack</p></li></ul><p><b>
You are</b></p><ul><li><p>
5-7 years&rsquo; experience building production-grade backends (Python is a must; additional experience in Go, C++, or Java is valuable)</p></li><li><p>
Solid in SQL and data modelling (PostgreSQL or similar)</p></li><li><p>
Experienced with REST APIs and cloud environments (AWS preferred)</p></li><li><p>
Comfortable working independently and taking ownership of a problem</p></li><li><p>
Startup mindset &mdash; quick to ship, focused on quality, allergic to bureaucracy</p></li></ul><p><b>
Nice to have</b></p><ul><li><p>
Linux debugging and performance tuning</p></li><li><p>
Familiarity with orchestration (Kubernetes, Terraform, Ansible)</p></li><li><p>
Experience with data pipelines or analytical databases</p></li><li><p>
Interest in edge/cloud hybrid architectures</p></li></ul><p><b>
Why this role matters</b><br>
You&rsquo;ll help shape how data moves through our system &mdash; building fast, reliable infrastructure that powers every customer interaction.</p><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.</i></p><ul><li><br>
<i>Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</i></li></ul><p>
Compensation Range: &euro;70K - &euro;90K</p></div>

Senior Backend Engineer (m/f/d)

CompuGroup Medical

<div><p>Als f&uuml;hrendes Unternehmen im Bereich Softwarel&ouml;sungen f&uuml;r das Gesundheitswesen sind wir in 19 L&auml;ndern t&auml;tig und besch&auml;ftigen &uuml;ber 9.000 engagierte Mitarbeitende. Du wirst in einem dynamischen und innovativen Umfeld arbeiten, das voller M&ouml;glichkeiten steckt. Mit Deinem Einsatz und Deiner Leidenschaft hast Du die Gelegenheit, einen nachhaltigen Unterschied zu machen.
</p><p></p><p><b>CGM Leverages AI:</b> Wir suchen Menschen, die die Kraft von KI im E-Health-Umfeld sp&uuml;ren, den Wandel mitgestalten wollen und mit neugieriger Leidenschaft erkennen, wie Technologie Gesundheit smarter, einfacher und besser machen kann.</p><p></p><p>
Gemeinsam gestalten wir das Gesundheitssystem der Zukunft. Werde Teil unserer Mission und mache den Unterschied &ndash; <b>f&uuml;r eine Welt, in der Wissen Leben rettet!</b></p><p></p><p><b>
Dein Beitrag:
</b></p><ul><li><p>Du designst und betreibst die Data-Pipelines, die ifap DataServices antreiben &ndash; Du verwandelst kuratierte Arzneimittel-, Verordnungs- und klinische Referenzdaten in verl&auml;ssliche, aktuelle und performant abfragbare Datens&auml;tze f&uuml;r unsere SaaS-Produkte und Partner.</p></li><li><p>
Du baust und wartest robuste ETL/ELT-Pipelines in Python mit FastAPI-Services sowie Apache-Spark-/Scala-Workloads, immer mit Fokus auf Datenqualit&auml;t, Lineage, Observability und Kostenoptimierung.</p></li><li><p>
Du arbeitest eng mit Product Management, AI Engineers und Architekt:innen zusammen und entwirfst Data Products, die neue AI-native Features und Partnerintegrationen erm&ouml;glichen.</p></li><li><p>
Du nutzt Claude Code und AI-Agents, um die Entwicklung von Pipelines, Schema-Migrationen und Analysen deutlich zu beschleunigen, und baust gemeinsam mit dem Team wiederverwendbare Data-Engineering-Skills und Workflows auf.</p></li><li><p>
Du bringst echten Engineering-Anspruch in die Datenwelt: automatisierte Tests, CI/CD, Observability, stringentes Schemanagement und klare Ownership &uuml;ber Deine Pipelines und Services.</p></li></ul><p></p><p><b>
Das bringst Du mit:
</b></p><ul><li><p>Mehrj&auml;hrige Senior-Erfahrung im Data Engineering mit Python und einem klar nachweisbaren Track Record im Betrieb produktiver Datenpipelines in regulierten oder gesch&auml;ftskritischen Umgebungen.</p></li><li><p>
Abgeschlossenes Studium in Informatik, Data Engineering, Mathematik, Physik oder einem vergleichbaren technischen Studiengang mit sehr guten Leistungen.</p></li><li><p>
Sehr gute SQL-Skills sowie Erfahrung mit mindestens einem modernen Data Stack (z. B. Airflow, dbt, Spark/PySpark, Kafka) und Cloud-Datenplattformen &ndash; idealerweise AWS &ndash; inklusive Infrastructure-as-Code mit Terraform und GitOps/ArgoCD; sicherer Umgang mit Versionsverwaltung, Testing und Monitoring.</p></li><li><p>
Nachweislich effektiver Einsatz von AI im Software- und Data-Engineering, idealerweise mit Claude Code oder &auml;hnlichen agentischen Tools (Agents, Skills, Workflows) sowie Erfahrung im Design von AI-Pipelines, Harnesses und Context Engineering.</p></li><li><p>
Flie&szlig;endes Deutsch und flie&szlig;endes Englisch in Wort und Schrift, ausgepr&auml;gte Probleml&ouml;sungsst&auml;rke, Innovationsfreude, hohe Proaktivit&auml;t und ein unternehmerisches Mindset, das sich klar mit unserem Healthcare-Purpose und der Verantwortung f&uuml;r Patientensicherheit deckt.</p></li></ul><p></p><p><b>
Das kannst Du von uns erwarten:
</b></p><ul><li><p><b>Mobile Work: </b>Arbeite flexibel an zwei Tagen pro Woche mobil und an 3 Tagen vor Ort.</p></li><li><p><b>
Attraktive Standorte: </b>An unseren Standorten erwarten Dich neben voll ausgestatteten Arbeitspl&auml;tzen auch regelm&auml;&szlig;ige Events wie Sommerfeste und Weihnachtsfeiern.</p></li><li><p><b>
Entwicklung: </b>Unsere Inhouse-Academy und unser Portfolio aus externen Kooperationspartnern unterst&uuml;tzen Dich in Deiner Weiterentwicklung.</p></li><li><p><b>
Gesundheit: </b>Gesundheit ist f&uuml;r uns ein hohes Gut. In der hauseigenen Kantine gibt es jeden Tag eine Auswahl an leckeren und gesunden Gerichten und in unserem voll ausgestatteten Fitnessstudio hei&szlig;en wir Dich in w&ouml;chentlichen Kursen gerne willkommen.</p></li><li><p><b>
Mehr geht immer: </b>Der Kindergarten auf unserem CGM-Campus in Koblenz unterst&uuml;tzt unsere Mitarbeitenden dabei, ihren Arbeitsalltag noch flexibler zu gestalten. Wir halten au&szlig;erdem Corporate Benefits, die M&ouml;glichkeit eines Jobrads, BAV u. v. m. f&uuml;r Dich bereit.</p></li></ul><p></p><p><b>
Vielfalt ist Teil von CGM! </b>Wir freuen uns unabh&auml;ngig von Behinderung, Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion, Alter sowie sexueller Orientierung und Identit&auml;t auf Deine Bewerbung.</p><p></p><p><b>
&Uuml;berzeugt? </b>Bewirb Dich jetzt online mit Deinen aussagekr&auml;ftigen Bewerbungsunterlagen (inkl. Deiner Zeugnisse, Gehaltsvorstellung und n&auml;chstm&ouml;glichem Eintrittstermin).</p></div>

Senior Data Engineer (m/w/d)

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

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