database engineer

Adsquare

<div>
 
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At Adsquare, our mission is driven by our core focus:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Passion
 
 &ndash; Solving complex challenges with great people, tech, and data.
 </li>
 <li>
 
 Niche
 
 &ndash; Location Intelligence for Programmatic Advertisers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Our core values are integral to everything we do:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Drive
 
 : We turn ambition into action to deliver valuable outcomes.
 </li>
 <li>
 
 Resilience
 
 : We adapt, persevere, and grow stronger.
 </li>
 <li>
 
 No BS
 
 : We value honesty, transparency, and clear communication.
 </li>
 <li>
 
 Humble
 
 : We choose modesty over vanity and let results speak for themselves.
 </li>
 <li>
 
 Moral Compass
 
 : We do the right thing with fairness, integrity, and respect.
 </li>
 </ul>
 
 
 
 
 
 
 
 We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Data Pipeline Ownership
 
 : Take full accountability for the pipeline lifecycle&mdash;from raw data ingestion to transformation and external delivery&mdash;according to defined SLAs, time, and budget.
 </li>
 <li>
 
 Architect Scalable Solutions
 
 : Design and build robust data architectures required to process and transfer terabytes of data.
 </li>
 <li>
 
 Pipeline Optimization
 
 : Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
 </li>
 <li>
 
 Engineering Rigor
 
 : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
 </li>
 <li>
 
 Data Monitoring
 
 : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
 </li>
 <li>
 
 Collaboration &amp; Mentorship
 
 : Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 
 We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.
 
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Programming Mastery
 
 : Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
 </li>
 <li>
 
 Big Data &amp; PySpark
 
 : Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
 </li>
 <li>
 
 Advanced Optimization Skills
 
 : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
 </li>
 <li>
 
 Database &amp; Storage Architecture
 
 : Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).
 </li>
 <li>
 
 Cloud Native (AWS)
 
 : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
 </li>
 <li>
 
 Infrastructure &amp; Orchestration
 
 : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
 </li>
 <li>
 
 Engineering Fundamentals
 
 : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
 </li>
 <li>
 
 AI tools
 
 : Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Compiled Languages
 
 : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
 </li>
 <li>
 
 Geospatial Data
 
 : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
 </li>
 <li>
 
 Data Formats
 
 : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
 </li>
 <li>
 
 Streaming Technologies
 
 : Familiarity with Kafka and Flink.
 </li>
 <li>
 
 Backend Context
 
 : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 55,000 - 65,000 euros per year
 
 
 
 
 
 On top of a competitive package, we offer:
 
 
 
 
 
 
 
 <ul>
 <li>
 Hybrid work model + remote work from anywhere worldwide up to 3 months/year
 </li>
 <li>
 Individual yearly learning budget of 1,200&euro;
 </li>
 <li>
 30 vacation days per year
 </li>
 <li>
 Urban Sports Club membership
 </li>
 <li>
 Company pension scheme
 </li>
 <li>
 Regular team and company events
 </li>
 <li>
 Latest hardware and all tools you need to thrive
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 We are committed to diversity and inclusivity.
 
 
 
 
 
 
 
 
 Apply now!
 
 
 
 
</div>

Data Engineer (m/f/d)

Enpal

<div>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.
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. 
 
About the Role
Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. You'll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and you'll spend as much time unblocking and enabling others as you do writing code.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.</li><li>
Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.</li><li>
Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.</li><li>
Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.</li><li>
Support data privacy and compliance requirements, including metadata-driven PII handling.</li><li>
Build observability and testing into the platform so failures are caught before they reach domain teams.</li><li>
Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3><ul><li>
Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.</li><li>
Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).</li><li>
Solid Snowflake knowledge: RBAC, performance, and warehouse management.</li><li>
Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).</li><li>
Comfort with IaC (Terraform) and GitOps (ArgoCD).</li><li>
Familiarity with modern ingestion frameworks (dlt or similar).</li><li>
Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience building internal developer platforms or paved-road tooling.</li><li>
Knowledge of data contracts and federated data governance.</li><li>
GDPR/DSGVO-aware data handling experience.</li><li>
Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.
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.
</li></ul><h3 class="jobSectionHeader">What we offer</h3><ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - 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.</li><li>
Grown-up business &amp; startup spirit - 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.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 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.</li></ul>
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.</div>

Data Engineer (f/m/x)

Flix

<div>
 We&rsquo;re looking for a
 
 Data Platform Engineer (m/f/d)
 
 to join our team and help build and operate the data infrastructure that powers Flix&rsquo;s mobility platform.
 
 
 At FlixTech, our data platform enables teams across the company to process, analyze, and act on large volumes of mobility data. The platform supports critical use cases such as network planning, pricing, operations, and business analytics. You will work on scalable infrastructure that processes millions of daily events and ensures reliable data availability across the organization.
 
 
 You&rsquo;ll be part of a cross-functional engineering environment collaborating with data analysts, data scientists, and platform engineers. The role focuses on building reliable, scalable data systems and enabling other teams to work efficiently with data.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data infrastructure running on AWS and Kubernetes
 </li>
 <li>
 Develop and operate streaming and data platform components using technologies such as Kafka and Snowflake
 </li>
 <li>
 Implement monitoring, alerting, and operational tooling to ensure platform reliability and performance
 </li>
 <li>
 Own features end-to-end, including development, testing, deployment, monitoring, and maintenance
 </li>
 <li>
 Build and maintain Infrastructure as Code using Terraform and GitLab CI/CD
 </li>
 <li>
 Collaborate with data analysts, data scientists, and stakeholders to support data platform use cases
 </li>
 <li>
 Contribute to improving platform reliability, automation, and engineering practices
 </li>
 <li>
 Participate in on-call rotations to support the stability of the data platform
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 3+ years of experience building or operating data infrastructure or data platforms
 </li>
 <li>
 Hands-on experience with streaming technologies such as Kafka and data warehouses like Snowflake
 </li>
 <li>
 Experience with Infrastructure as Code tools (e.g., Terraform) and CI/CD pipelines (e.g., GitLab)
 </li>
 <li>
 Practical experience with cloud platforms (preferably AWS) and container platforms such as Kubernetes
 </li>
 <li>
 Experience with monitoring and observability tools (e.g., Datadog or similar)
 </li>
 <li>
 Solid programming skills in Python and interest in writing clean, maintainable code
 </li>
 <li>
 Strong collaboration and communication skills when working with technical and business stakeholders
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with advanced SQL or data transformation tools (e.g., dbt)
 </li>
 <li>
 Experience with data processing frameworks (e.g., PySpark)
 </li>
 <li>
 Knowledge of security and networking concepts relevant for data platforms
 
 
 </li>
 </ul>
 We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends &amp; family.
 </li>
 <li>
 Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
 </li>
 <li>
 Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
 </li>
 <li>
 Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
 </li>
 <li>
 Learning &amp; Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
 </li>
 <li>
 Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.
 
 
 </li>
 </ul>
 To view more local benefits specific to each office location, please check out this link:
 
 Locations - Flix Career
 
 
 
 
 Why Join Flix?
 
 
 
 At Flix, you&rsquo;ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
 
 
 As we continue to expand across the globe, you can make a real difference in how we work.
 
 
 If you&rsquo;re ready to grow and lead your journey, Flix is the place for you!
</div>

Data Platform Engineer (Mid-Level) (m/f/d)

REPLY

<div><div>Aufgaben<div>
Als Senior Consultant Data Engineer (m/w/d) unterst&uuml;tzt du unser Team dabei, moderne Datenl&ouml;sungen und Datenprodukte zu entwickeln sowie die Datennutzung unserer Kunden zu optimieren. Dabei entwirfst du skalierbare und effiziente Datenarchitekturen, integrierst neue Datenverwaltungstechnologien sowie Software-Engineering-Tools in bestehende Systeme und &uuml;bernimmst Verantwortung f&uuml;r komplexe Datenprojekte, um datengetriebene Entscheidungen nachhaltig zu st&auml;rken.<ul><li>
Unterst&uuml;tzung bei der Konzeption und Implementierung robuster und skalierbarer Datenprodukte, - architekturen und -pipelines</li><li>
Entwicklung und Wartung von Pipelines zur Datenumwandung und -integration inkl. ETL Prozessen aus unterschiedlichen Quellen mit z. B. SQL, Python, dbt, Snowflake, Databricks sowie Cloud-Plattformen wie AWS, Azure oder Google Cloud</li><li>
Erfassen von Gesch&auml;ftsanforderungen und technischen Anforderungen unserer Kunden sowie deren Umsetzung in effektive Data Engineering-L&ouml;sungen</li><li>
Begleitung und fachliches Mentoring 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 Unternehmenskultur aktiv mit &ndash; durch deine Beratungskompetenz, dein Engagement und deine Innovationsfreude</li></ul></div></div><div>
Benefits<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>
Buddy-Programm: Dein Buddy unterst&uuml;tzt dich beim Onboarding und hilft dir, dich schnell im Team und in unserer Unternehmenskultur zurechtzufinden</li><li>
Hybrides Arbeiten: Eine individuell abgestimmte Mischung aus Remote Work, B&uuml;ropr&auml;senz und Eins&auml;tzen beim Kunden</li><li>
Innovation &amp; Vielfalt: Bundesweite, branchen&uuml;bergreifende Projekte mit klarem Fokus auf Data &amp; AI</li><li>
Modernes Setup: Hochwertige Hardware nach Wahl sowie ein internationales, teamorientiertes Arbeitsumfeld mit flachen Hierarchien und starkem Teamzusammenhalt</li></ul></div></div><div>
Qualifikationen<div><ul><li>
Abgeschlossenes Studium z. B. in (Wirtschafts-)Informatik, Data Science oder einem vergleichbaren Studiengang</li><li>
Du hast ein Verst&auml;ndnis f&uuml;r Data Products, Datenmodellierung und unterschiedliche Data Warehousing Systeme aus vergangenen Projekten</li><li>
Du hast die F&auml;higkeit, komplexe Datenstrukturen zu analysieren und daraus Erkenntnisse abzuleiten, um strategische Leitlinien zu entwickeln</li><li>
Zum Vorteil ist, wenn du Erfahrungen mit Docker, Cloud-Technologien, Dimensional &amp; Data Vault Modelling sowie mit DevOps-Praktiken und CI/CD-Prozessen hast</li><li>
In vergangenen Projekten bist du bereits mit mindestens einer der Programmiersprachen (Bestenfalls Python) und SQL/NoSQL etc. in Kontakt gekommen</li><li>
Mit deiner offenen Art und klaren Kommunikation 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 effiziente sowie kreative L&ouml;sungsans&auml;tze</li><li>
In unseren Teams kommunizierst du gut auf Deutsch und flie&szlig;end auf Englisch</li></ul></div></div><div>
Develop yourself and the digital future &ndash; at Reply!<div>
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.</div></div></div>

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

CompuGroup Medical

<div>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.
CGM Leverages AI: 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.
Gemeinsam gestalten wir das Gesundheitssystem der Zukunft. Werde Teil unserer Mission und mache den Unterschied &ndash; f&uuml;r eine Welt, in der Wissen Leben rettet!
Dein Beitrag:
<ul><li>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.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
Du bringst echten Engineering-Anspruch in die Datenwelt: automatisierte Tests, CI/CD, Observability, stringentes Schemanagement und klare Ownership &uuml;ber Deine Pipelines und Services.</li></ul>
Das bringst Du mit:
<ul><li>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.</li><li>
Abgeschlossenes Studium in Informatik, Data Engineering, Mathematik, Physik oder einem vergleichbaren technischen Studiengang mit sehr guten Leistungen.</li><li>
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.</li><li>
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.</li><li>
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.</li></ul>
Das kannst Du von uns erwarten:
<ul><li>Mobile Work: Arbeite flexibel an zwei Tagen pro Woche mobil und an 3 Tagen vor Ort.</li><li>
Attraktive Standorte: An unseren Standorten erwarten Dich neben voll ausgestatteten Arbeitspl&auml;tzen auch regelm&auml;&szlig;ige Events wie Sommerfeste und Weihnachtsfeiern.</li><li>
Entwicklung: Unsere Inhouse-Academy und unser Portfolio aus externen Kooperationspartnern unterst&uuml;tzen Dich in Deiner Weiterentwicklung.</li><li>
Gesundheit: 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.</li><li>
Mehr geht immer: 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.</li></ul>
Vielfalt ist Teil von CGM! 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.
&Uuml;berzeugt? Bewirb Dich jetzt online mit Deinen aussagekr&auml;ftigen Bewerbungsunterlagen (inkl. Deiner Zeugnisse, Gehaltsvorstellung und n&auml;chstm&ouml;glichem Eintrittstermin).</div>

Senior Data Engineer (m/w/d)

ALMETRA

<div>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.
Your role<ul><li>
Develop and maintain backend features and APIs for our core platform</li><li>
Improve database performance, reliability and real-time data processing</li><li>
Debug, profile and optimise code to keep latency low and systems stable</li><li>
Collaborate with AI, frontend and product teams to integrate new capabilities</li><li>
Contribute to architectural decisions and shape the evolution of our backend stack</li></ul>
You are<ul><li>
5-7 years&rsquo; experience building production-grade backends (Python is a must; additional experience in Go, C++, or Java is valuable)</li><li>
Solid in SQL and data modelling (PostgreSQL or similar)</li><li>
Experienced with REST APIs and cloud environments (AWS preferred)</li><li>
Comfortable working independently and taking ownership of a problem</li><li>
Startup mindset &mdash; quick to ship, focused on quality, allergic to bureaucracy</li></ul>
Nice to have<ul><li>
Linux debugging and performance tuning</li><li>
Familiarity with orchestration (Kubernetes, Terraform, Ansible)</li><li>
Experience with data pipelines or analytical databases</li><li>
Interest in edge/cloud hybrid architectures</li></ul>
Why this role matters 
You&rsquo;ll help shape how data moves through our system &mdash; building fast, reliable infrastructure that powers every customer interaction.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
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.<ul><li> 
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.</li></ul>
Compensation Range: &euro;70K - &euro;90K</div>

Senior Backend Engineer (m/f/d)

VERDA

<div>Imagine a future where everyone has instant, low-cost access to intelligence. We&rsquo;re building a fully featured European AI cloud - with everything one needs to train, experiment with, and deploy AI models. In addition, our GPUs run on 100% renewable energy.
We&rsquo;re ambitious, curious, and gutsy doers. We practice a low hierarchy across the company and high morale in our teams. We&rsquo;ve already achieved a lot, yet we&rsquo;re only getting started. Now it&rsquo;s your chance to join the ride. We offer more than just the job - we offer a career-defining opportunity to be part of building something big!
Join Verda while it&rsquo;s still being built - not once it&rsquo;s finished.<h2 class="jobSectionHeader">
About the role</h2>
We are looking for a Principal DNS Infrastructure Engineer to completely own our DNS ecosystem. You will inherit a platform built on PowerDNS and take it to the next level of massive scale, resilience, and automation. In our &quot;move fast&quot; culture, your goal is to build an API-driven, bulletproof DNS architecture where zone provisioning, subdomain delegation, and record updates happen instantly and programmatically via code, removing all human bottlenecks.<h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Absolute Ownership of DNS Architecture: Shape, scale, and maintain our global PowerDNS authoritative and recursive infrastructure.</li><li>
Massive Scale Engineering: Leverage dnsdist for intelligent load balancing, query filtering, and denial-of-service mitigation to keep our DNS layer highly available under extreme loads.</li><li>
Automate Everything: Use SaltStack and Ansible to drive a strict GitOps model for DNS. Every zone, record type, and configuration change must be managed as code.</li><li>
Master Subdomain &amp; Multi-Tenancy Routing: Design clean, automated architectures for dynamic subdomain delegation and tenant isolation, ensuring cloud customers can programmatically spin up and tear down records safely.</li><li>
Architect Anycast DNS: Partner with our networking team to scale our DNS footprint globally using BGP Anycast, ensuring ultra-low latency and seamless failover across deployment regions.</li><li>
Collaborate &amp; Communicate: Act as the organization's resident DNS evangelist. Write crystal-clear internal documentation and runbooks, ensuring our core SRE and platform teams understand how to interface with your DNS pipelines without fear.</li></ul><h2 class="jobSectionHeader">
Your Key Requirements</h2><ul><li>
Deep PowerDNS Mastery: Proven experience architecting, tuning, and operating PowerDNS components (Authoritative, Recursor, and dnsdist) at massive scale.</li><li>
Expertise in DNS Mechanics: In-depth knowledge of DNS internals (TSIG, DNSSEC automation, EDNS, SOA timers, and query/response optimization).</li><li>
Scale &amp; Routing Fundamentals: Solid understanding of how DNS scales using database backends (MySQL/PostgreSQL) and how routing protocols like BGP/Anycast distribute query loads globally.</li><li>
Automation-First Mindset: 5+ years of experience managing infrastructure via configuration management (SaltStack or Ansible) and treating infrastructure strictly as code.</li><li>
Clear, Collaborative Communicator: The ability to explain complex DNS routing, delegation anomalies, or propagation delays to external teams and leadership with absolute clarity.</li></ul><h2 class="jobSectionHeader">
Nice-to-Haves</h2><ul><li>
Experience writing custom Lua scripts for advanced traffic management or security filtering inside dnsdist.</li><li>
Active contributor to the open-source PowerDNS community or related internet infrastructure working groups (IETF/DNSOP).</li><li>
Experience implementing modern privacy/security protocols at scale, such as DNS-over-TLS (DoT) or DNS-over-HTTPS (DoH).</li></ul><h2 class="jobSectionHeader">
Why Verda</h2><ul><li>
Cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.).</li><li>
Profitable operations with rapid, sustained growth.</li><li>
31 nationalities, with 6 different ones on the management team.</li><li>
An opportunity to make a clear impact and work alongside world-class engineers, researchers, and partners across the global AI ecosystem.</li></ul><h2 class="jobSectionHeader">
Practicalities</h2><ul><li>
Work mode: Remote (EU)</li><li>
Employment type: Full-time, permanent</li><li>
Start date: As soon as possible</li></ul></div>

Senior DNS Infrastructure Engineer

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