senior data engineer

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)

LimeFlight

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

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

Adsquare

<div>
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 <p>
  <strong>
   About the Company
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  At Adsquare, our mission is driven by our core focus:
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    Passion
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   &ndash; Solving complex challenges with great people, tech, and data.
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    Niche
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   &ndash; Location Intelligence for Programmatic Advertisers.
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  Our core values are integral to everything we do:
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   <strong>
    Drive
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   : We turn ambition into action to deliver valuable outcomes.
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    Resilience
   </strong>
   : We adapt, persevere, and grow stronger.
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   <strong>
    No BS
   </strong>
   : We value honesty, transparency, and clear communication.
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    Humble
   </strong>
   : We choose modesty over vanity and let results speak for themselves.
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    Moral Compass
   </strong>
   : We do the right thing with fairness, integrity, and respect.
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  We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
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 </p>
 <p>
  <strong>
   About the Role
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 <p>
  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.
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   Responsibilities
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    Data Pipeline Ownership
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   : 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.
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    Architect Scalable Solutions
   </strong>
   : Design and build robust data architectures required to process and transfer terabytes of data.
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    Pipeline Optimization
   </strong>
   : 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.
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    Engineering Rigor
   </strong>
   : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
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    Data Monitoring
   </strong>
   : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
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    Collaboration &amp; Mentorship
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   : 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.
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   Qualifications
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  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.
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   Required Skills
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    Programming Mastery
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   : 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.
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    Big Data &amp; PySpark
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   : 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.
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    Advanced Optimization Skills
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   : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
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    Database &amp; Storage Architecture
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   : 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).
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    Cloud Native (AWS)
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   : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
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    Infrastructure &amp; Orchestration
   </strong>
   : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
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    Engineering Fundamentals
   </strong>
   : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
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    AI tools
   </strong>
   : 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>
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  <strong>
   Preferred Skills
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    Compiled Languages
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   : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
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   <strong>
    Geospatial Data
   </strong>
   : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
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   <strong>
    Data Formats
   </strong>
   : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
  </li>
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   <strong>
    Streaming Technologies
   </strong>
   : Familiarity with Kafka and Flink.
  </li>
  <li>
   <strong>
    Backend Context
   </strong>
   : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
  </li>
 </ul>
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  <strong>
   Pay range and compensation package
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  55,000 - 65,000 euros per year
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  On top of a competitive package, we offer:
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   Hybrid work model + remote work from anywhere worldwide up to 3 months/year
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   Individual yearly learning budget of 1,200&euro;
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   30 vacation days per year
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   Urban Sports Club membership
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  <li>
   Company pension scheme
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   Regular team and company events
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   Latest hardware and all tools you need to thrive
  </li>
 </ul>
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 </p>
 <p>
  <strong>
   Equal Opportunity Statement
  </strong>
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  We are committed to diversity and inclusivity.
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  Apply now!
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  <br/>
 </p>
</div>


Data Engineer (m/f/d)

REPLY

<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)

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)

Schwarz Digits KG

<p></p><div><div><div><div><ul><li><div><div><h2 class="jobSectionHeader"><b>Standort</b></h2><div><div>
Karl-Liebknecht-Stra&szlig;e 32<br>
10178 Berlin</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Abteilung / Bereich</b></h2><div><div>
IT - Software Engineering</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Einstiegslevel</b></h2><div><div>
Berufserfahrene</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Arbeitsmodell</b></h2><div><div>
Vollzeit/Teilzeit</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
2794</div></div></div></div></li></ul></div></div></div>
<div><div><div><p>
Schwarz Digits schafft das technologische Fundament f&uuml;r digitale Entscheidungsfreiheit in Europa. Als IT- und Digitalsparte der Schwarz Gruppe entwickeln und verantworten wir einerseits die IT-Infrastrukturen f&uuml;r die Handelssparten Lidl und Kaufland sowie die Schwarz Produktion und PreZero. Gleichzeitig agieren wir als unabh&auml;ngiger Anbieter am externen Markt, um Unternehmen in ganz Europa bei ihrer digitalen Transformation zu unterst&uuml;tzen. Unsere Kernleistungen b&uuml;ndeln wir in den Bereichen Cloud, Cyber Security, Data &amp; AI, Communication und Workspace. Trage auch du zur digitalen Entscheidungsfreiheit in Europa bei.<br>
<br>
Bei uns arbeitest du an der Schnittstelle zwischen Agilit&auml;t und Sicherheit: Du profitierst von den schnellen Entscheidungswegen, genie&szlig;t echte Gestaltungsspielr&auml;ume in deinen Projekten und baust dabei auf das stabile Fundament der Schwarz Gruppe.</p></div></div></div>
<div><div><h3 class="jobSectionHeader"><b>
Deine Aufgaben</b></h3><div><div><ul><li>
Du entwickelst robuste Daten-Pipelines (Python + SQL) f&uuml;r den Betrieb eines Data Warehouse und tr&auml;gst ma&szlig;geblich zur Definition und dem Aufbau eines passenden Datenmodells bei.</li><li>
Du verantwortest den Betrieb unserer Datenplattform, die vielf&auml;ltigen Nutzerkreisen das Treffen von Entscheidungen erm&ouml;glicht.</li><li>
Du &uuml;bernimmst die technische Leitung eines agilen Engineering Teams, das den gesamten Software-Entwicklungs-Lifecycle abdeckt: von Anforderungen, Architektur und Design &uuml;ber Implementierung und Testing bis hin zu Deployment, Operations und Support.</li><li>
Du verantwortest die Architektur, achtest auf Produktqualit&auml;t und identifizierst und reduzierst aktiv technische Schulden.</li><li>
Du hast Kosten, Zeit und Budget der Entwicklung im Blick und triffst datengetriebene und ganzheitliche Entscheidungen.</li><li>
Du leitest ein Core Engineering Team durch den Entwicklungsprozess, etablierst Standards und sorgst f&uuml;r kontinuierliche Prozessverbesserungen.</li><li>
Du bist der erste Ansprechpartner und Sparringspartner f&uuml;r den Product Owner, begleitest die Anforderungsanalyse und tauschst dich mit Key-Usern aus.</li><li>
Du &uuml;bernimmst Verantwortung f&uuml;r die pers&ouml;nliche und fachliche Weiterentwicklung der Software Engineers in deinem Team.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li><b>
Erfahrung</b>: Du hast <b>mindestens 4 Jahre professionelle Erfahrung im Data Engineering oder der Softwareentwicklung</b> (au&szlig;erhalb deines Studiums) und bist bereit f&uuml;r eine technische F&uuml;hrungsrolle (oder bringst bereits erste Erfahrungen mit).</li><li><b>
Tech Stack</b>: Du besitzt tiefgreifende, praxiserprobte Kenntnisse im Aufbau und der Verwaltung eines Data Warehouse und der Softwareentwicklung im Backend (Python, o.&auml;.) wie auch im Frontend (Vue, React o. &auml;.).</li><li><b>
Cloud &amp; Architektur</b>: Cloud-native Technologien (Docker, Kubernetes), analytische Datenbanken (BigQuery, Snowflake) und Data Warehousing sind dein t&auml;gliches Handwerkszeug. Du hast ein starkes architektonisches Verst&auml;ndnis (inkl. Design Patterns wie Strategy Pattern, Clean Code, modulare Architekturen).</li><li><b>
Qualit&auml;t &amp; Operations</b>: Automatisiertes Testing, CI/CD, IT-Sicherheit und Best Practices im Deployment sind f&uuml;r dich nicht verhandelbar. Erfahrung mit hoch skalierbaren, Daten-intensiven Systemen ist ein gro&szlig;es Plus.</li><li><b>
Agiles Mindset &amp; Leadership</b>: Du hast eine hohe Eigeninitiative, arbeitest stark datengetrieben und hast Freude daran, Wissen zu teilen und dein Team auf das n&auml;chste Level zu heben.</li><li><b>
Sprachen</b>: Sehr gute Englischkenntnisse; Deutschkenntnisse sind ein Plus (oder die Bereitschaft, diese auszubauen).</li><li><b>
Ausbildung</b>: Abgeschlossenes IT-Studium oder eine vergleichbare Ausbildung mit fundierter Praxiserfahrung.</li></ul></div></div></div></div>
<div><h2 class="jobSectionHeader"><b>Unsere Benefits</b></h2><p></p><div><div><div><p>
</p></div></div></div></div><p></p><div><h2 class="jobSectionHeader"><b>Dein Ansprechpartner</b></h2><div><div><h3 class="jobSectionHeader"><b>
Lara Schlimgen</b></h3><p>
Recruiterin</p><ul><li>
E-Mail:recruiting@mail.schwarz</li></ul></div></div></div>
<div><h2 class="jobSectionHeader"><b>Dein Bewerbungsprozess im &Uuml;berblick</b></h2><div><div><div><div>
1</div><h3 class="jobSectionHeader"><b>
Bewerbung</b></h3></div><div>
Wir lieben die Einfachheit. Bewirb dich schnell und unkompliziert digital, gerne auch ohne Registrierung.</div></div><div><div><div>
2</div><h3 class="jobSectionHeader"><b>
Checkup</b></h3></div><div>
Gemeinsam mit dem zust&auml;ndigen Fachbereich werfen wir einen Blick in deine Unterlagen.</div></div><div><div><div>
3</div><h3 class="jobSectionHeader"><b>
Kennenlernen</b></h3></div><div>
Bei einem ersten Kennenlernen liegt der Fokus sowohl auf deiner Pers&ouml;nlichkeit als auch auf deiner fachlichen Eignung.</div></div><div><div><div>
4</div><h3 class="jobSectionHeader"><b>
Vertragsangebot</b></h3></div><div>
Haben wir uns gegenseitig &uuml;berzeugt? Dann ist dein Arbeitsvertrag digital per Mail auf dem Weg zu dir.</div></div><div><div><div>
5</div><h3 class="jobSectionHeader"><b>
Willkommen</b></h3></div><div>
Dein erster Arbeitstag bei uns steht an und dein individuelles Onboarding im Team startet. Wir freuen uns auf dich!</div></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>Diese Stellen k&ouml;nnten auch interessant sein</b></h2></div><p></p><div><p>
</p><div><div><div><p>BerufserfahreneBad Friedrichshall
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</p><h3 class="jobSectionHeader"><b>(Senior) AI-Assisted Software Engineer (m/w/d) - Fokus Backend (Go / Kotlin)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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Engineering Lead - Supply Chain Data Platform (m/w/d)

<div><h2 class="jobSectionHeader"><b>About the Opportunity</b></h2>
<p>
We are seeking a Junior Backend Engineer to join the Data Ingestion Team within the Platform Engineering Domain. This is an exciting opportunity for an early-career engineer to grow their skills building high-throughput data processing systems.</p>
<p>
Platform Engineering's mission is to provide trusted, performant, and self-service platforms. As part of this, the Data Ingestion team is responsible for building and maintaining the pipelines that power our bank's data ecosystem, focusing on reliability, scalability, and clean engineering practices.</p>
<p>
The ideal candidate is an eager learner who is excited to dive into new technologies and solve technical challenges with the support of a senior team. We value engineers who are self-driven, seek constructive feedback, and thrive in a collaborative environment that prizes technical growth.</p>
<h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2>
<ul><li>Software Development: Work under the guidance of senior engineers to develop and maintain backend services for our data ingestion platform.</li>
<li>Engineering Support: Support the team in applying strong engineering practices including writing automated tests, participating in code reviews, and maintaining observability.</li>
<li>Proactive Learning: Proactively ask questions, propose small improvements, and collaborate with the team to deliver clean, testable code for our platform services.</li>
<li>Knowledge Sharing: Participate in technical discussions, contribute to internal documentation, and help us maintain a transparent knowledge base.</li>
<li>Development Contribution: Contribute to infrastructure development tasks and participate in technical demos to showcase your work.</li>
<li>Shadow and Respond: Shadow on-call rotations and assist in troubleshooting efforts to learn incident response protocols.</li>
<li>Observability Support: Learn to maintain and use observability solutions (metrics, logging, tracing) to help the team track platform SLOs and availability.</li>
</ul><h2 class="jobSectionHeader"><b>What you need to be successful</b></h2>
<h3 class="jobSectionHeader"><b>Background and Skills:</b></h3>
<ul><li>Strong foundational backend skills, with a preference for Kotlin or Java, and a willingness to adapt to the language best suited for the task.</li>
<li>Exposure to data storage solutions such as PostgreSQL, RDS, or S3.</li>
<li>Basic knowledge of containers (Docker) and an eagerness to learn Kubernetes.</li>
<li>Exposure to infrastructure as code concepts (Terraform or similar).</li>
<li>Interest in learning CI/CD pipelines and modern automation tools.</li>
<li>Understanding of testing pyramids and experience writing unit and integration tests.</li>
<li>Familiarity with at least one observability/monitoring tool (e.g., DataDog, Prometheus, or Grafana).</li>
</ul><h3 class="jobSectionHeader"><b>Nice to have:</b></h3>
<ul>
<li><p>Working experience in scale-ups within platform teams.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Traits:</b></h3>
<ul><li>Excellent collaboration and communication skills, with the ability to work across teams.</li>
<li>You enjoy taking tasks from start to finish and keeping the team updated on your progress.</li>
<li>A keen interest in understanding how to build high-quality, scalable, and secure infrastructure.</li>
<li>Eagerness to learn and contribute to building platforms as products.</li>
<li>A proactive approach to problem-solving, a desire to learn, and an appreciation for clean code.</li>
</ul><h2 class="jobSectionHeader"><b>What's in it for you:</b></h2>
<ul><li>Accelerate your career growth by joining one of Europe's most talked about disruptors.</li>
<li>Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness &amp; wellness memberships, language apps and public transportation.</li>
<li>Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. <i>Some roles may require additional in-office presence</i>.</li>
<li>As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
</li><li>Additional day of annual leave for each year of service.
</li><li>A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.</li>
</ul><h2 class="jobSectionHeader"><b>Who we are</b></h2>
<p>
N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.</p>
<p>
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.</p>
<p>
We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.</p>
<p><b>
Sounds good? Apply now for this position.</b></p>
<p><b>
Equal Opportunities:</b></p>
<p>
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.</p>
<p>
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.</p>
<p>
Visit our website to learn more about Diversity, Equity, &amp; Inclusion at N26.</p></div>

Junior Backend Engineer - Data Ingestion

Explore 135+ Senior data engineer in Berlin this July. Find roles across top companies and apply now to boost your career.