(junior) cloud site reliability engineer (network) (m/f/x)

(junior) full-stack software engineer - supply chain management applications (m/f/d)

(senior) cloud engineer / linux-spezialist (m/w/d)

senior data engineer

(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

data & ai engineer (m/w/d) Jobs in Berlin

data & ai engineer (m/w/d)

data analytics engineer (m/f/d) Jobs in Berlin

data analytics engineer (m/f/d)

data platform architect (f/m/x) Jobs in Berlin

data platform architect (f/m/x)

data analyst

Talon.One LinkedIn Jobs

<div><div><p><b>ABOUT TALON.ONE:</b></p><br>
<p></p>
<p>
Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.</p>
<p>
Today, over 250 of the world's most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.</p></div><br>
<p></p>
<p><b>
ABOUT THE TEAM:</b></p>
<p>
We're a passionate team, consisting of a Head of Data, a Data Engineer, an Analytics Engineer and a Senior Data Analyst dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development.</p>
<p><b>
ABOUT THE ROLE:</b></p>
<p>
As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery. Besides, you will manage our overall data platform infrastructure, recommend improvement and make sure to always follow best practices. Finally, you will also of course be involved in the Data Engineering pipelines, assisting in the modelling of various data sources helping literally all departments within the company making better decisions.</p><br>
<p></p>
<p><b>
ONCE YOU ARE HERE YOU WILL:</b></p><br>
<p></p>
<ul>
<li>Own the data ingestion streams for all of our client's DBs, from Postgres to BigQuery</li>
<li>Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration</li>
<li>Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.</li>
<li>Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&amp;D department, especially the DevOps team.</li>
</ul>
<p><b>WHAT WE NEED YOU TO BRING TO THE TABLE:</b></p>
<ul>
<li>3 -5 years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects.</li>
<li>You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation.</li>
<li>You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions etc..</li>
<li>You have experience with general infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP etc..</li>
<li>You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code.</li></ul><br>
<p></p>
<p><b>
ABOUT TECHNOLOGY:</b></p>
<ul>
<li>Kubernetes running on Google Cloud, ArgoCD, Terraform</li>
<li>PostgreSQL</li>
<li>Aiven Kafka Connect, Strimzi, Debezium</li>
<li>DBT cloud, GCP, BigQuery, Fivetran</li>
<li>We use Go for our API, core logic, and internal tooling</li>
<li>Cypress for automated end-to-end testing</li>
<li>Other odds &amp; ends in JavaScript and shell script</li></ul><br>
<p></p>
<div><b>
WHAT'S IN IT FOR YOU:</b></div>
<ul><li>A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin</li>
<li>Leaders with 8+ years of experience building our promotions engine</li>
<li>&euro;1,000 annual learning budget and free German language courses to boost your skills</li>
<li>30 days of annual leave, plus extra paid days for your birthday and moving day</li>
<li>Home office setup budget, a monthly home office allowance</li>
<li>Freedom to work from abroad for up to 90 days worldwide!</li>
<li>Mental health support with nilo.health and a discounted Urban Sports Club membership</li>
<li>20% company subsidy on your pension contributions</li>
<li>Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome</li>
<li>Lease your ideal bike through BusinessBike</li></ul></div><p></p>

Senior Data Engineer

Kassenärztliche Bundesvereinigung KdöR

<p></p><div><div><div><p>Wir suchen f&uuml;r unser Dezernat Digitalisierung und IT zum 01.10.2026 befristet bis zum 30.09.2027 eine/n Werkstudent/-in (w/m/d) f&uuml;r die Abteilung Daten und Automatisierung.</p>
<p></p><h1 class="jobSectionHeader"><b>Werkstudent/-in (w/m/d) Daten und Automatisierung
</b></h1>Mit Ihrer Expertise tragen Sie zu ausfallsicherer Software bei, die im Ernstfall Leben rettet im reibungslosen Praxis-betrieb f&uuml;r mehr als 75 Millionen gesetzlich Krankenversicherte.
<p></p><div><div><div>Ihre Aufgaben
</div><ul><li>Unterst&uuml;tzung der Data Engineers und Analysts
<ul><li>Mitarbeit bei Datenanalysen und der Aufbereitung von Auswertungen</li>
<li>Unterst&uuml;tzung im Datenmanagement und bei der Integration verschiedener Datenquellen</li>
</ul></li><li>Mitwirkung bei der Automatisierung von Datenverarbeitungsprozessen
<ul><li>Monitoring und Verwaltung von Datenlieferungen</li>
<li>Unterst&uuml;tzung beim Datenaustausch mit Stakeholdern im Gesundheitswesen</li>
</ul></li><li>Dokumentation und Pflege von Daten- und Prozessstrukturen</li>
</ul>
</div><p></p><div><div>Ihr Profil
</div><ul><li>Sie sind Student/-in (m/w/d) der Medizin-, Wirtschafts-, oder technischen Informatik oder vergleichbarer Studieng&auml;nge</li>
<li>Sie verf&uuml;gen &uuml;ber Kenntnisse im Bereich Datenbanken und in der Programmierung (SQL, Python)</li>
<li>Ausgepr&auml;gte F&auml;higkeit zu analytischem, logischem und abstraktem Denken</li>
<li>W&uuml;nschenswert sind erste Kenntnisse in den Bereichen Datenmodellierung, DWH, BI-Tools und QS</li>
<li>Sie verf&uuml;gen &uuml;ber nachweisbare Deutschkenntnisse auf Niveau C1 (GER)</li>
<li>Neben Ihren fachlichen Qualifikationen verf&uuml;gen Sie &uuml;ber eine teamorientierte Arbeitsweise in einem interdisziplin&auml;ren Arbeitsumfeld und die dazu notwendige Kommunikationsf&auml;higkeit in Wort und Schrift</li>
</ul>
<p></p><div>Wir bieten Ihnen
</div><ul><li><b>Abwechslung:</b> Sie genie&szlig;en die Vorteile eines &ouml;ffentlichen Arbeitgebers und agieren zugleich in einem innovativen Umfeld.</li>
<li><b>Fr&uuml;haufsteher oder Langschl&auml;fer?</b> Ihre Arbeitszeit k&ouml;nnen Sie flexibel durch mobiles Arbeiten und unser Gleitzeitmodell gestalten.</li>
<li><b>Verg&uuml;tung:</b> Die Verg&uuml;tung erfolgt nach der hauseigenen Entgeltsystematik der KBV unter Ber&uuml;cksichtigung der Anforderungen der Stelle sowie der einschl&auml;gigen Qualifikation. Der Bruttostundenlohn betr&auml;gt 13,90 Euro bis 15,00 Euro.</li>
<li><b>Berufliche Entwicklung:</b> Wir f&ouml;rdern Sie mit passenden Weiterbildungen in unserer hauseigenen Akademie oder bei externen Anbietern.</li>
<li><b>Weitere Benefits:</b> Kantine, Sportangebote sowie Zuschuss zum Firmenticket sind nur einige Beispiele.</li>
</ul>
<p></p><p>Die KBV gew&auml;hrleistet die berufliche Gleichstellung von Frauen und M&auml;nnern. Schwerbehinderte Menschen werden bei gleicher Eignung besonders ber&uuml;cksichtigt. Die Stelle ist f&uuml;r die Besetzung mit Teilzeitkr&auml;ften grunds&auml;tzlich geeignet.</p>
<p></p><b>Haben wir Ihr Interesse geweckt?</b>
<p></p>Dann bewerben Sie sich bis zum <b>03.07.2026</b> &uuml;ber unser Online-Bewerbungsformular. F&uuml;r R&uuml;ckfragen steht Ihnen Frau Diana Kurch-Bek gern unter zur Verf&uuml;gung. Wir freuen uns auf Ihre Bewerbung! Weitere Infos auf https://it-karriere.kbv.de/.
</div></div><div><p>Jetzt bewerben</p></div></div></div></div>

Werkstudent/-in (w/m/d) Daten und Automatisierung

Norwegian Refugee Council

<div><p><b>What we are looking for:
</b></p><p>We're looking for an experienced <b>Data Scientist </b>to help shape the future of humanitarian action through CLEAR (Crisis Learning, Early Warning and Anticipatory Action) - NRC's open infrastructure designed to transform fragmented crisis data into timely, actionable intelligence.<br>
</p><p></p><p>CLEAR brings together diverse data sources - including earth observation, conflict data, field reports, and market intelligence - into a shared, open, and federated platform that enables humanitarian teams to anticipate crises and act before they escalate. By closing the gap between insight and action, CLEAR empowers faster, smarter, and more effective humanitarian responses.<br>
</p><p></p><p>As the Data Scientist, you will play a pivotal role in designing and deploying cutting-edge machine learning and deep learning solutions that support early warning systems and humanitarian decision-making. You will develop predictive models capable of identifying emerging crisis patterns, forecasting humanitarian needs, and transforming complex, multimodal datasets into practical insights for field operations.
</p><p>This is a highly technical, hands-on role suited to someone who enjoys building, training, and fine-tuning AI models from the ground up. You are comfortable working in data-scarce, rapidly evolving environments, proactively sourcing and preparing data, and solving complex challenges where real-world impact matters.
</p><p>Working closely with the AI Lead, software developers, and data engineers, you will contribute across the full machine learning lifecycle - from model development and optimisation to performance monitoring and deployment. You will also help shape the technical environment in which models are trained and refined, ensuring AI solutions are scalable, robust, and aligned with the operational realities of humanitarian response.<br>
</p><p></p><p><b>What you will do:
</b></p><p><b><i>Here are some of your specific responsibilities
</i></b></p><ul><li><p>Support the design and implementation of CLEAR&rsquo;s data architecture.
</p></li><li><p>Partner with developers and data engineers to design and stand up the environment needed to train and fine-tune models (including data ingestion pipelines, compute and GPU resources, experiment tracking and MLOps tooling) actively shaping that environment rather than waiting for it to be provided.
</p></li><li><p>Develop machine learning and deep learning models that integrate multiple data streams to detect early indicators of humanitarian crises, combining earth observation and satellite imagery, conflict event data, climate monitoring, economic indicators, and population movement patterns into unified risk assessment frameworks.
</p></li><li><p>Build computer-vision and remote-sensing models on satellite and aerial imagery (for example flood-extent mapping, building and settlement detection, displacement-site monitoring, infrastructure damage assessment and land-cover change detection) and fuse these earth observation outputs with non-imagery signals.
</p></li><li><p>Contribute to building automated alert systems that identify emerging crises, calibrating prediction algorithms for different crisis types.
</p></li><li><p>Create ensemble modelling approaches that combine traditional statistical methods with advanced AI techniques.
</p></li><li><p>Fine-tune and adapt foundation models and large language models to humanitarian use cases such as document triage, multilingual report analysis and situation summarisation.
</p></li><li><p>Explore venues for adapting models to evolving crisis conditions through reinforcement learning systems.
</p></li><li><p>Implement impact-based forecasting systems that translate meteorological, conflict, and economic predictions into specific humanitarian consequences such as displacement volumes, food insecurity levels, and infrastructure damage estimates.
</p></li><li><p>Build decision trees and recommendation engines that guide field staff through systematic needs assessment processes informed by predictive analytics and historical response data.
</p></li><li><p>Create automated reporting systems and interactive dashboards that enable field teams and leadership to access real-time data for rapid response activities.
</p></li><li><p>Any other tasks assigned by the CLEAR Technical Lead and AI Lead related to CLEAR data.
</p></li></ul><p>Please download the <b>detailed job description </b>to learn more about this position.
</p><p><b>What you will bring:
</b></p><ul><li><p>Advanced degree in Data Science, Statistics, Computer Science, Physics, Engineering, Economics or a related quantitative field, with a minimum of 5 years of professional experience in applied data science.
</p></li><li><p>Demonstrated experience designing, training and fine-tuning deep learning models (e.g. CNNs, recurrent/sequence models and transformers), including how to structure training runs, manage compute, and diagnose and improve model performance.
</p></li><li><p>Advanced proficiency in Python for statistical analysis, machine learning and data manipulation, with experience in key libraries including pandas, NumPy, scikit-learn, TensorFlow, PyTorch and Keras.
</p></li><li><p>Strong SQL skills for database management and complex query optimization.
</p></li><li><p>Hands-on experience implementing supervised and unsupervised learning algorithms including regression models, classification techniques, clustering methods, and time series analysis.
</p></li><li><p>A proven track record of proactively sourcing and engineering data (finding, negotiating access to, cleaning and, where necessary, generating data).
</p></li><li><p>Experience designing and implementing ETL pipelines for processing datasets from multiple sources, with skills in data cleaning, transformation and quality assurance at scale.
</p></li><li><p>Ability to create automated reporting systems and dashboards using tools like Tableau, Power BI or similar platforms.
</p></li><li><p>Experience working with large, messy, real-world datasets.
</p></li><li><p>Understanding of model deployment and MLOps practices, and comfort working with engineers to provision the infrastructure models need.
</p></li><li><p>Fundamental skills with version control software and collaborative development.
</p></li><li><p>Fluency in written and spoken English. Other languages are an asset.
</p></li><li><p>Practical experience working in low-data or data-scarce settings, including transfer learning, few-shot learning, data augmentation and synthetic data generation to overcome limited training data.
</p></li><li><p>Experience implementing and fine-tuning large language models (LLMs) for applied tasks.
</p></li><li><p>Experience with natural language processing techniques for analyzing reports, social media or news data relevant to crisis monitoring.
</p></li><li><p>Experience using GenAI for automated analysis of large volumes of documents &mdash; extracting key themes, sentiment analysis and identifying emerging trends across multiple contexts and languages.
</p></li><li><p>Understanding of ensemble methods and explainable AI techniques for transparent decision-making.
</p></li><li><p>Experience working with earth observation and satellite imagery; optical (e.g. Sentinel-2, Landsat) and radar / SAR (e.g. Sentinel-1), alongside commercial high-resolution sources, and with geospatial tooling such as Google Earth Engine, rasterio / GDAL, xarray and geopandas.
</p></li><li><p>Applying computer vision and deep learning to imagery (semantic segmentation, object detection, change detection) for humanitarian tasks such as flood-extent mapping, damage assessment, settlement and displacement-site detection, infrastructure monitoring and population estimation (a strong asset).
</p></li><li><p>Experience with multimodal data fusion.
</p></li></ul><p><b>What we offer:
</b></p><ul><li><p>Duty station: Remote (Germany, France, UK or Belgium)
</p></li><li><p>Contract: Fixed term (2 years)
</p></li><li><p>Travel: Up to 10%
</p></li><li><p>Salary/benefits: Grade 9 on NRC&rsquo;s <b>Resident </b>salary scale, with accompanying terms and conditions.
</p></li><li><p>NRC is an equal opportunities employer. We are committed to diversity without distinction to age, gender, religion, ethnicity, nationality, and physical ability.
</p></li><li><p>We think outside the box, encourage ideas, and give responsibility to all employees at all levels. You will have many opportunities to be heard and take the initiative.
</p></li></ul><p>Find out more about the benefits of working for NRC
</p><p>Important information about the application process
</p><ul><li><p>For Internal candidates: To apply as an internal candidate, log in with your official email or click on Opportunity Market Place.
</p></li><li><p>When creating your profile, include your full name as given on your passport. Complete all the system-required fields for experience, employment history and education.
</p></li><li><p>Submit your application and CV in English, taking care to attach your latest CV.
</p></li><li><p>Applications that do not meet the minimum standards in terms of experience or qualifications will generally not be considered. Unsolicited applications not related to this specific job advertisement will not be considered.
</p></li><li><p>We receive many applications for each vacant position and so only shortlisted candidates will be contacted.
</p></li></ul><p>If you have any questions about this role, please email <b>ho.recruitment@nrc.no </b>with the job title as the subject line.
</p><p><b>Why NRC?
</b></p><p>The Norwegian Refugee Council (NRC) is an independent humanitarian organisation helping people forced to flee. Our 15,000 staff work in crises across 40 countries, providing life-saving and long-term assistance to millions of people every year.
</p><p>Watch this short video to see NRC in action.
</p><p>We are looking for people who are passionate about helping refugees and people forced to flee. Are you one of those people? If you are, NRC offers you the opportunity to:
</p><ul><li><p>do demanding and professional work, often in challenging contexts.
</p></li><li><p>join a work culture that empowers every employee to share ideas and take responsibility.
</p></li><li><p>be part of a welcoming and supportive community committed to human dignity.</p></li></ul></div><p></p>
<br><div><div>The Norwegian Refugee Council (NRC) is a global humanitarian organisation helping people forced to flee.<br>
</div><div></div><br>
<div>Join us in assisting millions of people in areas where others cannot, tackling some of the world's most dangerous and difficult crises. Bring your skills and dedication to an organisation recognised for providing high quality aid and for defending the rights of refugees and internally displaced people.<br>
</div><div></div><br>
<div>At NRC, we give responsibility to employees at all levels and foster professional growth and innovative teams. You can expect a supportive culture and an open dialogue with management. We are committed to diversity, equity and inclusion.<br>
</div><div></div><br>
<div>Together, we save lives and rebuild futures.<br>
</div><div></div><br>
<div>Safeguarding is central to NRC&rsquo;s work. We expect all employees to:
</div><ul><li>treat everyone with respect and dignity
</li></ul><ul><li>contribute to building a safe environment for all
</li></ul><ul><li>never engage in any form of exploitation, harassment and specifically sexual exploitation, abuse and sexual harassment (SEAH)
</li></ul><ul><li>always report. NRC has a zero-tolerance approach to inaction against exploitation, abuse and SEAH</li></ul></div><p></p>

Data Scientist

GROPYUS

<div><div><p><b>About The Company</b></p>
<p>
GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.</p></div><p><b>
We're</b><b> seeking a Power BI specialist to audit, </b><b>optimize</b><b>, and clean up our existing semantic model, data ingestion pipelines, and dashboards</b><b> for a part time (50%) dedicated project from July to November 2026.</b></p>
<p><b>
About the Role</b></p>
<p>
Our Power BI environment has grown organically and needs professional optimization. We're looking for an experienced Power BI expert to drive a comprehensive cleanup and restructuring project. You'll audit our current semantic model for performance issues and design flaws, collaborate with our data engineers to optimize our data lake ingestion processes, and refactor our dashboards for consistency, usability, and efficiency while instilling best practices in our team for continued success after the project ends.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Audit and document the current semantic model structure &amp; relationships for consistency with our ontologies and other existing applications</li>
<li>Identify and eliminate redundant tables, views, columns, and measures within the MS Data Lake</li>
<li>Rewrite inefficient or problematic DAX formulas for clarity and speed</li>
<li>Identify problem areas on the Microsoft side of ingestion and collaborate with our data engineers for required modifications</li>
<li>Verify data accuracy and consistency across Power BI</li>
<li>Audit existing dashboards for consistency, usability, and performance and propose consolidation or redesign</li>
<li>Create &amp; update documentation for semantic models and dashboard usage</li>
<li>Create guidance and best practices for Power BI usage</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul>
<li>Minimum 3+ years of professional Power BI experience, including data model optimization and integration with various data stores within &amp; outside the MS ecosystem</li>
<li>Ability to diagnose and fix complex formula issues</li>
<li>Proven ability to audit and refactor existing BI solutions</li>
<li>Strong documentation and communication skills</li>
<li>Experience with version control or change management in BI environments</li>
<li>Familiarity with Dagster, DBT, and Postgres</li>
</ul><div><h4 class="jobSectionHeader"><b>Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet.</b><br>
<br>
<b>We can't wait to get to know you.</b><br>
<b>For more information, visit our </b><b>website</b><b>, and if you have any questions, please reach out to us via </b><b>email</b><b>.</b></h4></div></div>

Power BI Consultant (Freelance basis)

Deutsche Kreditbank AG

<div><div><div><div>Senior Data Scientist - Lending &amp; ML (m/w/d)</div>
</div></div><div><div><div><div>DKB AG</div>
<div>Standort: Berlin</div>
<div>unbefristet</div>
<div>Teilzeit/Vollzeit</div>
<div>ab sofort</div></div><br>
<p></p>
<div><div><div><div><h2 class="jobSectionHeader"><b>
Dein Profil</b></h2>
</div><div><ul><li>Ein abgeschlossenes Studium der Mathematik, Physik, (Wirtschafts-)Informatik oder eines anderen quantitativen Studiengangs</li>
</ul><ul><li>Fundierte Python-Kenntnisse mit mind. 3 Jahren praktischer Erfahrung</li>
</ul><ul><li>Erfahrung mit Cloud-Diensten, idealerweise AWS, sowie in der Bereitstellung von Machine Learning Services im Unternehmenskontext</li>
</ul><ul><li>Tiefes Verst&auml;ndnis statistischer Lernverfahren und moderner Machine-Learning-Algorithmen</li>
</ul><ul><li>Pr&auml;gnante und strukturierte Ausdrucksweise</li>
</ul><ul><li>Sehr gute Deutsch- und Englischkenntnisse</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Deine Aufgaben</b></h2>
</div><div><ul><li>Entwicklung leistungsf&auml;higer Services zur Optimierung von Kreditprozessen auf Basis von Machine Learning Methoden (z. B. RandomForest, xgboost, lightGBM)</li>
</ul><ul><li>Partnerschaftliche Zusammenarbeit mit Fachkolleg*innen, um Use Cases zu identifizieren und datengetriebene L&ouml;sungen mit direktem Mehrwert f&uuml;rs Kreditgesch&auml;ft umzusetzen</li>
</ul><ul><li>End-to-End-Verantwortung f&uuml;r die Entwicklung ML-basierter Services vom Proof of Concept bis zum produktiven Betrieb</li>
</ul><ul><li>Sicherstellung von Qualit&auml;t, Nachvollziehbarkeit und Robustheit der Modelle (z. B. Monitoring, Testing, Dokumentation)</li>
</ul><ul><li>Du erweiterst deine Kenntnisse regelm&auml;&szlig;ig und setzt die jeweils besten verf&uuml;gbaren Methoden f&uuml;r die Modellentwicklung ein</li>
</ul><ul><li>In einem schnell wachsenden Team kannst du deine Skills ausbauen, Verantwortung &uuml;bernehmen und deine Ideen aktiv einbringen</li></ul></div></div></div></div><br>
<p></p>
<div>
<p><i>Die DKB steht f&uuml;r Vielfalt und Chancengerechtigkeit. Egal, woher du kommst, wie alt du bist, welches Geschlecht, welche Genderidentit&auml;t, sexuelle Orientierung oder Religion du hast, ob mit oder ohne Behinderung - wir freuen uns auf deine Bewerbung!</i></p>
</div>
</div></div><div><div><div>Deine Benefits und mehr</div>
<div></div><div><ul><li><div>Attraktive Verg&uuml;tung<br>
(tariflich oder<br>
au&szlig;ertariflich)</div>
</li><div></div><li><div>Flexibles und mobiles<br>
Arbeiten &ndash; tempor&auml;r auch<br>
im EU-Ausland</div>
</li><div></div><li><div>Du hast die Wahl:
<br>
Benefits Pass, Jobticket<br>
oder Jobrad</div>
</li><div></div><li><div>Moderne Technik-<br>
ausstattung und Tool<br>
Stack</div>
</li><div></div><li><div>Individuelle Qualifi-<br>
zierungsm&ouml;glichkeiten</div>
</li><div></div><li><div>Duz-Kultur und kein<br>
Dresscode</div>
</li><div></div><li><div>Externe<br>
Mitarbeitenden-<br>
beratung</div>
</li><div></div><li><div>Angebote zum<br>
Gesundbleiben</div>
</li><div></div><li><div>Weitere Extras wie z.B.<br>
betriebliche Altersvorsorge<br>
und Versicherungsschutz</div>
</li></ul></div></div></div><div></div><div><div><div><div><div><div>Immer f&uuml;r dich ansprechbar</div>
<div>Oleg Chapaykin<br>
Expertise Lead<br>
oleg.chapaykin@dkb.de<br>
Deutsche Kreditbank AG</div></div></div></div></div></div></div><p></p>

Senior Data Scientist - Lending & ML (m/w/d)

Charité - Universitätsmedizin Berlin

<div>
 Jetzt bewerben
 <br/>
 <br/>
 Teilen
 <br/>
 <br/>
 Teilen
 <br/>
 <br/>
 Link kopieren
 <br/>
 <br/>
 Twitter
 <br/>
 <br/>
 Facebook
 <br/>
 <br/>
 WhatsApp
 <br/>
 <br/>
 https://karriere.charite.de/stellenangebote/detail/7354
 <br/>
 <br/>
 Arbeitszeit
 <br/>
 <br/>
 <strong>
  Teilzeit
  <br/>
  <br/>
 </strong>
 Eintrittsdatum
 <br/>
 <br/>
 <strong>
  15.06.2026
  <br/>
  <br/>
 </strong>
 Dauer der Anstellung
 <br/>
 <br/>
 <strong>
  Befristet
  <br/>
  <br/>
 </strong>
 Bewerbungsfrist
 <br/>
 <br/>
 <strong>
  06.07.2026
  <br/>
  <br/>
 </strong>
 Einsatzort Charit&eacute;
 <br/>
 <br/>
 <strong>
  Campus Charit&eacute; Mitte
  <br/>
  <br/>
 </strong>
 Kennziffer
 <br/>
 <br/>
 <strong>
  7354
  <br/>
  <br/>
 </strong>
 Entgeltgruppe
 <br/>
 <br/>
 <strong>
  E13
  <br/>
  <br/>
 </strong>
 <strong>
  Arbeiten an der Charit&eacute;
  <br/>
  <br/>
 </strong>
 Der Giftnotruf der Charit&eacute; ist das zust&auml;ndige Giftinformationszentrum f&uuml;r Berlin und Brandenburg und unterst&uuml;tzt als telemedizinisches Fachzentrum bei Vergiftungen. Wir beraten Bev&ouml;lkerung und medizinisches Fachpersonal nach Vergiftungen und sind damit ein wichtiger Akteur in der Toxikovigilanz und Risikosurveillance. Professionalle Datenauswertung unterst&uuml;tzt die fundierte Notfallberatung und identifiziert Pr&auml;ventionsgebiete und Risikogruppen - und legt die Basis f&uuml;r den Gesamtauftrag im Gesundheitsschutz
 <br/>
 <br/>
 <strong>
  Die Stelle im &Uuml;berblick
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Zu Ihren Aufgaben z&auml;hlen die retrospektive Auswertung der Beratungen im Giftnotruf der Charit&eacute; und die strukturierte Validierung der Daten
  </li>
  <li>
   Sie sind f&uuml;r die belastbare Datenbasis verantwortlich, die zum Aufbau eines Berichtswesens an Beh&ouml;rden, Organisationen und weitere &ouml;ffentliche Einrichtungen dient.
  </li>
  <li>
   Bei der Erstellung und Pr&uuml;fung von Berichten unterst&uuml;tzen sie unmittelbar
  </li>
  <li>
   Sie wirken mit bei der Datenanalyse zu wissenschaftlichen Publikationen
  </li>
  <li>
   Sie begleiten durch die kontinuierliche Datenauswertung die interne Qualit&auml;tskontrolle und tragen damit zu einer Verbesserung der Beratung und Dokumentation bei
  </li>
  <li>
   Die Stelle ist projektbegleitend und daher auf 2 Jahre befristet
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Danach suchen wir
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Sie verf&uuml;gen &uuml;ber ein abgeschlossenes Masterstudium im Bereich der Toxikologie.
  </li>
  <li>
   Berufserfahrung in einem Giftinformationszentrum konnten Sie bereits sammeln
  </li>
  <li>
   Fundierte Kenntnisse in Toxikologie und Dateninterpretation z&auml;hlen zu Ihren St&auml;rken
  </li>
  <li>
   Sie sind sicher im Umgang mit MS Excel, SAP Hana Datenbankabfragen, KNIME und statistischer Auswertung mit R, SPSS oder vergleichbarer Software
  </li>
  <li>
   Eine selbstst&auml;ndige, digital affine Arbeitsweise pr&auml;gt Ihr t&auml;gliches Handeln
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Das bringt die Charit&eacute; mit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Eine zukunftsorientierte, abwechslungsreiche und anspruchsvolle T&auml;tigkeit mit hoher Eigenverantwortung und pers&ouml;nlichem Handlungsspielraum
  </li>
  <li>
   Eine zus&auml;tzliche Absicherung im Alter durch unsere betriebliche Altersvorsorge
  </li>
  <li>
   Seit 2007 zertifiziert als familiengerechte Hochschule und familiengerechtes Unternehmen - Weitere Informationen finden Sie hier
  </li>
  <li>
   Ber&uuml;cksichtigung von Dienstplanw&uuml;nschen
  </li>
  <li>
   Nach Einarbeiten ist in Abstimmung Homeoffice m&ouml;glich
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Informationen zur Stelle
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Entgeltgruppe E13 TV&ouml;D VKA-K. Hier finden Sie alle Informationen zum Gehalt und Tarifvertrag
  </li>
  <li>
   Die Arbeitszeit ist in Teilzeit mit 28,86 Stunden (75%)
  </li>
  <li>
   Die Position ist bis zum 28.06.2028 befristet, da sie an die Projektlaufzeit gebunden ist
  </li>
  <li>
   Bei uns sind 30 Tage Urlaub Standard
  </li>
  <li>
   Die Bewerbungsfrist endet am: 06.07.2026
  </li>
  <li>
   Kennziffer: 7354
   <br/>
   <br/>
  </li>
 </ul>
 Bewerbung
 <br/>
 <br/>
 An der Charit&eacute; sind alle willkommen, unabh&auml;ngig von Alter, Religion, Geschlecht, geschlechtlicher Identit&auml;t, sexueller Orientierung, Nationalit&auml;t, Behinderung, ethnischer oder sozialer Herkunft. Hier z&auml;hlt jeder Mensch! Wir setzen uns f&uuml;r Chancengleichheit und Inklusion ein.
 <br/>
 <br/>
 Aus Datenschutzgr&uuml;nden nehmen wir Bewerbungen ausschlie&szlig;lich &uuml;ber unser Bewerbungsportal entgegen. Der unten angegebene Kontakt steht ausschlie&szlig;lich f&uuml;r R&uuml;ckfragen zur Verf&uuml;gung.
 <br/>
 <br/>
 Jetzt bewerben
 <br/>
 <br/>
 <strong>
  Bei Fragen Wenden Sie Sich Bitte An
  <br/>
  <br/>
 </strong>
 Frau Martina Hahn Nimmergut
 <br/>
 <br/>
 Teamleitung Firmenservice
 <br/>
 <br/>
 martina.hahn@charite.de
 <br/>
 <br/>
 030 450 569702
 <br/>
 <br/>
 Vorteile und Leistungen
 <br/>
 <br/>
 Faire L&ouml;hne und Arbeitskonditionen
 <br/>
 <br/>
 An der Charit&eacute; erwarten dich Tarifvertr&auml;ge mit fairem Gehalt, vielf&auml;ltigen Zusatzleistungen und 30 Tagen Urlaub. Die aktuellen Tarifvertr&auml;ge und Entgelttabellen findest du hier.
 <br/>
 <br/>
 Familie und Beruf sind an der Charit&eacute; vereinbar
 <br/>
 <br/>
 Unsere Anlaufstellen bieten eine pers&ouml;nliche Beratung, um die Vereinbarkeit von Beruf und Familie sicherzustellen. Auch im Fall von pflegebed&uuml;rftigen Angeh&ouml;rigen. Zudem organisieren wir Kinderbetreuung in Ferienzeiten und kooperieren mit Kitas.
 <br/>
 <br/>
 Leben und Arbeiten in Berlin
 <br/>
 <br/>
 Wir haben vier zentrale Einsatzorte in Berlin. Gute Verkehrsanbindungen sowie vielf&auml;ltigste Kultur- und Freizeitangebote machen das Leben hier besonders attraktiv.
 <br/>
 <br/>
 Weitere Vorteile
 <br/>
 <br/>
 H&auml;ufig gestellte Fragen
 <br/>
 <br/>
 Besteht die M&ouml;glichkeit, im Homeoffice zu arbeiten?
 <br/>
 <br/>
 Grunds&auml;tzlich besteht die M&ouml;glichkeit, im Homeoffice zu arbeiten. Diese ist jedoch vom jeweiligen Bereich und Aufgabenfeld abh&auml;ngig. Sprich hierzu gerne mit der Ansprechperson des Bereichs, f&uuml;r den du dich interessierst.
 <br/>
 <br/>
 Wie werde ich verg&uuml;tet?
 <br/>
 <br/>
 Bei uns wirst du fair und transparent nach Tarifvertrag verg&uuml;tet &ndash; 30 Tage Urlaub inklusive. Die Tarifvertr&auml;ge und Entgelttabellen findest du hier.
 <br/>
 <br/>
 Gibt es auch die M&ouml;glichkeit, in Teilzeit zu arbeiten?
 <br/>
 <br/>
 Generell bieten wir immer auch die M&ouml;glichkeit, in Teilzeit zu arbeiten. Ob und in welcher Form besprichst du am besten direkt mit deiner Ansprechpartnerin oder Ansprechpartner.
 <br/>
 <br/>
 Weitere Fragen und Antworten
 <br/>
 <br/>
 Weitere Informationen
 <br/>
 <br/>
 Datenschutzhinweise
 <br/>
 <br/>
 Die Charit&eacute; weist darauf hin, dass im Rahmen und zu Zwecken des Bewerbungsverfahrens an verschiedenen Stellen in der Charit&eacute; (z.B. Fachbereich, Personalvertretung, Personalabteilung) personenbezogene Daten gespeichert und verarbeitet werden. Weiterhin k&ouml;nnen die Daten innerhalb des Konzerns sowie an Stellen au&szlig;erhalb (z.B. Beh&ouml;rden) zur Wahrung berechtigter Interessen &uuml;bermittelt bzw. verarbeitet werden. Mit Ihrer Bewerbung stimmen Sie unseren Datenschutz- und Nutzungsbestimmungen f&uuml;r Bewerbungsverfahren, die Sie hier finden, zu.
 <br/>
 <br/>
 Zusatzinformationen
 <br/>
 <br/>
 Die Charit&eacute; &ndash; Universit&auml;tsmedizin Berlin trifft ihre Personalentscheidungen nach Eignung, Bef&auml;higung und fachlicher Leistung. Die Charit&eacute; strebt eine Erh&ouml;hung des Anteils von Frauen in F&uuml;hrungspositionen an und fordert Frauen daher nachdr&uuml;cklich auf, sich zu bewerben. Bei gleichwertiger Qualifikation werden Frauen im Rahmen der rechtlichen M&ouml;glichkeiten vorrangig ber&uuml;cksichtigt. Bewerbungen von Menschen mit Migrationshintergrund, die die Einstellungsvoraussetzungen erf&uuml;llen, sind ausdr&uuml;cklich erw&uuml;nscht. Schwerbehinderte Bewerber:innen werden bei gleicher Qualifikation bevorzugt. Bei der Einstellung wird ein polizeiliches F&uuml;hrungszeugnis, teilweise ein erweitertes F&uuml;hrungszeugnis verlangt. Die Bewerbungsunterlagen k&ouml;nnen leider nur dann zur&uuml;ckgeschickt werden, wenn ein ausreichend frankierter R&uuml;ckumschlag beigef&uuml;gt ist. Eventuell anfallende Reisekosten k&ouml;nnen nicht erstattet werden.
</div>


Data Scientist im Giftnotruf (d/w/m)

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)

Explore 73+ Data analyst in Berlin this July. Find roles across top companies and apply now to boost your career.