data engineer (m/w/d) – schwerpunkt sas (shu)

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data engineer (m/w/d) – schwerpunkt sas (shu) Jobs in Munich

data scientist (all genders) Jobs in Munich

data scientist (all genders)

data engineer

die Bayerische

<div><p><b>Mut ist unser Antrieb, Zusammenhalt ist unsere St&auml;rke.</b><br>
Seit &uuml;ber 160 Jahren begleiten wir Menschen zuverl&auml;ssig durchs Leben &ndash; mit einem innovativen Portfolio an Versicherungs- und Vorsorgeprodukten.<br>
Als Versicherungsverein auf Gegenseitigkeit gestalten wir gemeinsam mit mehr als 600 Mitarbeitenden die Zukunft der Versicherung neu und legen dabei besonderen Wert auf soziale und &ouml;kologische Verantwortung.</p><p>
Unsere Mitarbeitenden sind das Herzst&uuml;ck unseres Erfolgs. Wir leben eine offene, vertrauensvolle Unternehmenskultur und hei&szlig;en Menschen jeden Alters, jeder Herkunft und Lebensweise willkommen, die gemeinsam mit uns die Zukunft gestalten wollen.</p><p></p><p>
Wir suchen ab sofort einen Data Engineer (m/w/d) &ndash; Schwerpunkt SAS <b>in Vollzeit in M&uuml;nchen</b> als Verst&auml;rkung f&uuml;r unser Team im Bereich Aktuariat Komposit</p><h4 class="jobSectionHeader"><b><br>
Unser Angebot</b></h4><p></p><ul><li><b>
Team</b>: In unserem Team hast Du zahlreiche Mitgestaltungsm&ouml;glichkeiten und kannst Dich und Deine Ideen voll einbringen. Unser Miteinander ist gepr&auml;gt durch flache Hierarchien, kurze Entscheidungswegen und ein famili&auml;res Umfeld.</li><li><b>
Work-Love-Balance</b>: Mehr Zeit f&uuml;r Hobbys, die Du liebst: Flexible Arbeitszeiteinteilung, Homeoffice-M&ouml;glichkeiten und 30+2 Tage Urlaub sind f&uuml;r uns selbstverst&auml;ndlich.</li><li><b>
Individuelle Entwicklung:</b> Wir f&ouml;rdern Deine fachliche und pers&ouml;nliche Weiterentwicklung beispielsweise im Rahmen von Schulungen, Workshops oder Konferenzen. Dar&uuml;ber hinaus stellen wir Dir 5 Innovationstage pro Jahr zur Verf&uuml;gung - gerne auch f&uuml;r ehrenamtliches Engagement.</li><li><b>
Extras</b>: Neben einem attraktiven Gehalt bieten wir Dir eine Reihe von Benefits: Verm&ouml;genswirksame Leistungen, betriebliche Altersversorgung, Unterst&uuml;tzung bei der Wohnungssuche durch Mitarbeiterwohnungen, attraktive Fitnessstudiokonditionen, Firmen- und Teamevents, 30 Tage mobiles Arbeiten im europ&auml;ischen Ausland, moderne Arbeitsplatzausstattung, betriebliches Gesundheitsmanagement, eine ausgezeichnete Kantine und Barista-Bar sowie vieles mehr: Benefits.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Deine Aufgaben</b><br>
</h4><ul><li>
Du erstellst und pflegst neue Datenbanken in DB2 und in SAS Viya (CAS), die als solide Basis f&uuml;r unsere Datenlieferungen dienen.</li><li>
Du bereitest die j&auml;hrliche Datenlieferungen an unterschiedliche externer Adressaten (Gesamtverband der deutschen Versicherungswirtschaft, Datenpools) f&uuml;r verschiedene Produkte (Kfz, Sach, Haftpflicht, Unfall, ggf. Gewerbe) auf und sorgst daf&uuml;r, dass alle Daten p&uuml;nktlich und in bester Qualit&auml;t bereitstehen.</li><li>
Du sorgst daf&uuml;r, dass die Pricing-Grunddaten monatlich aktuell und korrekt aufbereitet sind.</li><li>
Du bereitest den j&auml;hrlichen Produktcontrollingbericht vor und lieferst damit wichtige Entscheidungsgrundlagen f&uuml;r unser Unternehmen.</li><li>
Du entwickelst unsere technischen und fachlichen Datenprozesse im Umfeld SHU gemeinsam mit der IT kontinuierlich weiter und bringst dabei deine Ideen ein.</li><li>
Du arbeitest aktiv in agilen Projekten mit, um unsere Prozesse rund um Datenqualit&auml;t und Datenmanagement weiter zu verbessern.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Dein Profil</b><br>
</h4><ul><li><b>
Ausbildung:</b> Du hast ein erfolgreich abgeschlossenes Studium oder eine vergleichbare Ausbildung im Bereich Mathematik, (Wirtschafts-)Informatik, Data Science oder Versicherungstechnik.</li><li><b>
Erfahrung:</b> Du hast gute Kenntnisse in SAS (Aufbau und Verwaltung von Datenbanken mittels ETL Prozessen) und bereits Erfahrung mit Python und SQL. Idealerweise bringst du Erfahrung im Umgang mit Kennzahlen der SHU-Versicherung mit. Du hast sehr gute Deutschkenntnisse in Wort und Schrift (C1 Niveau).</li><li><b>
Arbeitsweise:</b> Du hast Freude an der Arbeit mit Daten und komplexen Datenstrukturen und bringst Offenheit f&uuml;r agiles Arbeiten und eine eigenverantwortliche Aufgabengestaltung mit.</li><li><b>
Pers&ouml;nlichkeit:</b> Du besitzt Teamgeist und eine l&ouml;sungsorientierte Denkweise und hast Spa&szlig; daran, aktiv Prozesse zu gestalten.</li><li><b>
Begeisterung:</b> Du hast Spa&szlig; eine wie oben beschriebene Aufgabe mit Leben zu f&uuml;llen und hast Lust dich mit Ideen und Engagement f&uuml;r unser Unternehmen einzubringen.</li></ul><p></p><p>
Wichtig: Welchem Geschlecht du dich zuordnest ist nicht entscheidend, wir m&ouml;chten dich als Mensch f&uuml;r uns gewinnen!</p><p></p><p>
Bei Fragen melde dich gerne direkt bei Isabelle unter der 0162 8145300. Wir freuen uns auf Dein Interesse !</p><p></p><h4 class="jobSectionHeader"><b><br>
Deine Ansprechpartnerin</b></h4><p></p><p><b>
Isabelle H&uuml;nsch (Recruiterin)</b></p><p>
#gerneperdu<br>
0162 8145300</p></div>

Data Engineer (m/w/d) – Schwerpunkt SAS (SHU)

BMW Group

<div><div><p><b>ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><p></p><div><p>We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.</p><p><b>
What awaits you?</b></p><ul><li>
You design data pipelines for ingestion, curation, pseudonymization, and versioning.</li><li>
Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.</li><li>
You set up experiment tracking and artifact registries for model variants.</li><li>
Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.</li><li>
You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.</li><li>
You build and operate the data pipelines and provide self-serve tools for the team.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Engineering, or a related field.</li><li>
Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.</li><li>
Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.</li><li>
Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.</li><li>
Motivation to embrace customer problems and find innovative solutions using available technologies.</li><li>
You enjoy working on complex problems in an international in-house team of experts.</li><li>
Professional English proficiency; German is a plus.</li></ul><p>
Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we are shaping the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>182180</div>
<div>Publication Date:</div>
<div>27.03.2026</div></div>

Senior Applied AI / ML Data Engineer (f/m/x)

<div><div><p><b>NEW SOLUTIONS EMERGE WHEN THINKING ISN&rsquo;T HARD-WIRED.</b></p><p>
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our IT specialists are free to go in unconventional directions.</p><br>
</div><p></p><div><p>We drive the Data &amp; AI transformation of the BMW Group with innovative platforms, state-of-the-art cloud architecture, and excellent engineering. Together, we create the technical foundation for scalable, secure, and efficient AI solutions across the entire company.</p><p><b>
What awaits you?</b></p><ul><li>
You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.</li><li>
Additionally, you support the entire AI lifecycle &ndash; from data preparation through development and training to the productive operation of machine learning and generative AI solutions.</li><li>
You automate infrastructure, deployments, and workflows using modern DevOps and MLOps approaches (e.g., Terraform, GitHub Actions, SonarQube).</li><li>
Furthermore, you work closely with data scientists, software engineers, and architects to design and implement APIs, services, and platform functionalities.</li><li>
You also ensure the quality, stability, and security of the platform &ndash; including monitoring, observability, logging, compliance, and documentation.</li><li>
Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.</li><li>
Last but not least, you evaluate new technological trends (e.g., Generative AI, LLMs, RAG, LangChain) and actively contribute your expertise to the further development of our AI landscape.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in (business) computer science, mathematics, or a comparable qualification with a strong IT focus.</li><li>
At least 5 years of experience in software or platform engineering, ideally in a cloud environment (AWS or Azure).</li><li>
Solid knowledge of CI/CD, automation, and infrastructure as code, ideally with Terraform, Docker, Kubernetes, or similar tools.</li><li>
Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience.</li><li>
Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies.</li><li>
Deep understanding of IT security, data protection, and compliance requirements.</li><li>
Very good English skills; German skills are an advantage.</li></ul><p>
Would you like to help drive the Data &amp; AI transformation at BMW Group? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications through other channels (especially e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we jointly shape the mobility of tomorrow.</li><li>
Diverse personal and professional development opportunities.</li><li>
Attractive, fair, and performance-based compensation.</li><li>
High job security.</li><li>
Annual special payments such as holiday pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks of annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p></p><p><b><br>
Earliest starting date: </b>from now on<br>
<b>Type of employment: </b>unlimited<br>
<b>Working hours: </b>full-time</p><p></p><p><br>
When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtually or in person).</p><p>
You can find helpful tips on your application and the application process.</p><p>
At BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. More information here.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>173222</div>
<div>Publication Date:</div>
<div>21.11.2025</div></div>

Senior AI & Data Platform Engineer (f/m/x)

Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
<p><b>What we offer</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
<p><b>The Germany Based </b>Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Data Infrastructure & Acquisition - Munich, Germany

MHP – A Porsche Company

<div>
 <strong>
  Aufgaben
  <br/>
  <br/>
 </strong>
 Du m&ouml;chtest die Datenstrategie unserer Kunden aktiv mitgestalten und deine
 <strong>
  Snowflake-Expertise
 </strong>
 in herausfordernde Projekte einbringen? Du &uuml;bernimmst gerne Verantwortung f&uuml;r Projekte und Teams mit Fokus auf Snowflake-Plattformen? Dann werde Teil unseres Teams und setze deine Erfahrung in spannenden Vorhaben ein &ndash; von der strategischen Architekturplanung &uuml;ber komplexe Integrationen bis hin zur Performance-Optimierung und Umsetzung moderner Governance-Konzepte.
 <br/>
 <br/>
 Dabei warten die folgenden Aufgaben auf dich:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Verantwortung f&uuml;r die Planung, Steuerung und erfolgreiche Umsetzung komplexer Snowflake-Implementierungs- und Migrationsprojekte
  </li>
  <li>
   Entwicklung und Einf&uuml;hrung skalierbarer Datenarchitekturen und Cloud-Integrationen unter Ber&uuml;cksichtigung von Performance, Sicherheit und Compliance
  </li>
  <li>
   Strategische Beratung von Kunden zur Optimierung ihrer Datenplattform und Definition langfristiger Plattform-Roadmaps
  </li>
  <li>
   Etablierung und Weiterentwicklung von Governance-Frameworks und Sicherheitsstandards im Snowflake-Umfeld
  </li>
  <li>
   Beratung zu Best Practices, Identifikation neuer Potenziale und Unterst&uuml;tzung beim strategischen Ausbau von Daten- und AI-L&ouml;sungen beim Kunden
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Anforderungen
  <br/>
  <br/>
 </strong>
 Um f&uuml;r deinen Weg als (Senior) Manager Snowflake (all genders) gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Abgeschlossenes Studium und mindestens 6 Jahre Berufserfahrung in der Beratung mit der Snowflake-Plattform in Rollen wie Data Engineer, Developer, Analyst, Data Scientist, ML Engineer oder Administrator
  </li>
  <li>
   Leidenschaft f&uuml;r Data &amp; AI-L&ouml;sungen sowie Cloud-Technologien
  </li>
  <li>
   Expertise in Snowflake (Architektur, Optimierung, Governance) best&auml;tigt durch eine SnowPro Advanced-Zertifizierung oder vergleichbare Nachweise
  </li>
  <li>
   Umfassende Erfahrung mit Datapipelines, Cloud-Plattformen sowie mit Programmiersprachen (z.B. SQL, Python)
  </li>
  <li>
   Deine Arbeitsweise ist gepr&auml;gt von analytischem Denken, pragmatischem Vorgehen, Teamf&auml;higkeit und Kundenorientierung
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Beginn:
   </strong>
   nach Vereinbarung &ndash; immer zu Beginn eines Monats
  </li>
  <li>
   <strong>
    Arbeitszeit:
   </strong>
   Vollzeit (40h) und Teilzeit; 30 Urlaubstage
  </li>
  <li>
   Arbeitsvertrag: Unbefristet
  </li>
  <li>
   Bereich: Consulting
  </li>
  <li>
   <strong>
    Sprache:
   </strong>
   verhandlungssicheres Deutsch &amp; Englisch
  </li>
  <li>
   <strong>
    Flexibilit&auml;t &amp; Reisebereitschaft
   </strong>
  </li>
 </ul>
</div>


(Senior) Manager Snowflake (all genders)

Usercentrics

<div>SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS<p>
Hybrid position - 2/3 days in the office
</p><p>1 year fixed-term contract</p><p></p><p>
Usercentrics is a global leader in the field of consent management platforms (CMP). We follow our company vision to build a world where user privacy enables a thriving digital ecosystem. Our mission is to provide privacy solutions that empower organizations to embrace data privacy while building trust with their users through freedom of choice. With our product, businesses can collect, manage and document user consents on websites and apps, and achieve full compliance in accordance with global privacy regulations while facilitating high consent rates and building trust with their customers.
</p><p>We&rsquo;re looking for an experienced Staff Analytics Engineer to own the design and delivery of scalable data models and data products across our data warehouse, semantic layer, and reporting layer. Reporting to the Director of Analytics, you will enable critical decision making across the business, from marketing and product to commercial operations.
</p><p>This is a senior individual contributor role with technical leadership responsibilities. You will not manage a team initially, but you will set standards and mentor others. This role may evolve into a people management position as the team scales.
</p>Your Tasks<ul><li>
Drive the development and expansion of our Data Warehouse and BI solutions, with a focus on simplicity, scalability, and reliability, ensuring they grow sustainably.</li><li>
Own and evolve the Analytics Engineering strategy, including architectural decisions, modeling standards, and the long term roadmap.
</li><li>Collaborate with Data Analysts, Data Scientists, and backend engineers to deliver trusted, well modeled, analysis-ready datasets.
</li><li>Apply software engineering best practices across the analytics codebase, including version control, code reviews, automated testing, lineage, and continuous integration.
</li><li>Evaluate, select, and deploy tools and frameworks to strengthen data quality, governance, and reliability.
</li><li>Partner closely with business stakeholders to design and scale the semantic layer to support diverse and evolving business needs, enabling and accelerating self service analytics.
</li><li>Act as a go to person for Data Analysts and Data Scientists, providing guidance to improve pipelines and remove inefficiencies, redundancies, and technical bottlenecks.
</li><li>Mentor and support other team members as the team scales, contributing to capability building, onboarding, and continuous knowledge sharing.
</li>Bring strategic thinking and innovative ideas to help shape a growing team and deliver meaningful business impact at scale.<br>
<li>
</li></ul><br>
<br>
<b>Requirements</b><br>
<ul><li>
5+ years of relevant experience in a comparable role, designing and scaling complex data models for analytics and data science.</li><li>
A unique combination of technical expertise, business acumen, and communication skills, enabling you to persuade and influence data product stakeholders.</li><li>
Proficiency with dimensional modeling (star schema) and medallion architecture, with the ability to design and develop curated data marts.</li><li>
Strong coding skills in SQL and proficiency in DBT, orchestration tools, and engineering best practices.</li><li>
Experience with cloud data warehouses (BigQuery preferred) and semantic layers such as MetricFlow, LookML, Omni, or Cube.</li><li>
Curiosity, strong problem solving skills, and a proactive, creative mindset.
</li><li>Excellent organizational and communication skills, both verbal and written.</li></ul><p>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Usercentrics we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</p><b><br>
Benefits</b><br>
<br>
Why join Usercentrics?<p></p><ul><li>
Joining Usercentrics means becoming part of a fast-growing, diverse and international team of tech enthusiasts and entrepreneurially-minded who build our success story together</li><li>
Company culture is important to us - we strive to continuously develop a positive, vibrant and inspiring environment that enables everyone to thrive both personally and professionally</li><li>
Get involved! We have plenty of initiatives and love to see people from all department enthusiastically participating and shaping our future together in different cross-department projects</li><li>
Your work-life balance is important to us too - we offer flexible working hours, hybrid working and the possibility of workcations (in accordance with our company policy)</li><li>
We always remember to have fun along the way, both in our day-to-day work and at our regular team events on site in our offices in Munich, Copenhagen, Odense, Lisbon and Prague or online</li></ul></div>

Staff Analytics Engineer (1 Year Fixed-Term Contract)

THE MARCOM ENGINE

<div><p>We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) in Munich at the earliest possible start date in full-time.
<br>
<br>
In this role, you&rsquo;ll be part of a multidisciplinary team bridging data science, strategy, and automation and contribute to exciting projects at the forefront of digital transformation, working on innovative consumer insights initiatives and personalization measures for globally recognized brands.
</p><b>What you can expect:</b>
<ul><li>Develop and implement machine learning models and algorithms
</li><li>Conduct data analysis to identify patterns, trends and insights
</li><li>Participate in projects related to data and processing for AI Agents
</li><li>Work closely with internal and client stakeholders to formulate data-driven solutions
</li><li>Validate models and interpret results by performing statistical analysis and hypotheses
</li><li>Stay updated with the latest developments and best practices in data analytics and data science
</li><li>Ensure maintenance of data science model and process documentation
</li><li>Apply machine learning and automation to scale analyses and accelerate insights
</li><li>Create advanced analytical models that demonstrate how marketing contributes to business growth&mdash;from media effectiveness to customer lifetime value
</li><li>Work in a multidisciplinary team across data science, strategy, and automation to advance data-driven marketing measurement and optimization
</li></ul><b>What we expect from you:</b>
<ul><li>A completed degree in a quantitative, analytical, or business-related field (e.g. Data Science, Statistics, Mathematics, Computer Science, Business Informatics) or a comparable qualification
</li><li>Several years of experience as a Data Scientist or Marketing Analyst, ideally with a strong focus on statistical modeling and marketing analytics, preferably in an agency or dynamic environment
</li><li>Excellent Python skills and experience with relevant libraries
</li><li>Excellent knowledge in handling data queries and confidence handling different data types (SQL, Redshift, PostgreSQL)
</li><li>Experience applying machine learning and automation to accelerate analytical workflows
</li><li>Familiarity with cloud environments such as GCP, AWS, or Azure, as well as visualization tools like Quicksight, Tableau, Power BI, or Looker
</li><li>Ability to translate complex statistical findings into clear, strategic insights
</li><li>Experience with Digital Analytics platforms or Marketing campaign data
</li><li>Excellent communication skills in English and German
</li><li>Curiosity, initiative, and a collaborative mindset
</li><li>Knowledge of information security and awareness of information security principles
</li></ul><b>What we offer:</b>
<ul><li><b>Onboarding: </b>Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.</li><li><b>
Education: </b>Your development is important to us. Whether through our internal campus training program, voluntary language courses or regular coaching - we keep you up to date!</li><li><b>
Flexibility</b>: Flexible working hours, mobile office and job sharing models allow you to adapt your job to your life - and not the other way around.</li><li><b>
Fun: </b>If you work, you also have to take a break. Whether it's partying or working out - with us, you'll have plenty of opportunities thanks to regular after-work events and agency-sponsored fitness programs.</li><li><b>
Location: </b>Our modern office in Munich&rsquo;s creative district is easy to reach thanks to its convenient location.</li><li><b>
Internationality:</b> As an internationally operating agency group, we offer you the opportunity to network and exchange ideas with colleagues from different disciplines all over the world.</li></ul></div>

Data Scientist (all genders)

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