26 jobs found in Berlin

Working student (m/f/d) in Controlling with a focus on Data Science Do you enjoy daily challenges and prefer working independently? Then we should get to know each other at one of our locations in   Kirchheim near Munich   or   Berlin   ! You'll start in controlling shortly after the introduction of our new ERP system (Microsoft Business Central) and gain valuable practical experience in an exciting digitalization project. What needs to be done? You actively support the specialist departments in defining and creating reports in Power BI. Furthermore, you will help us with the design and implementation of RPA bots (Power Automate) to automate repetitive tasks. Your involvement in the implementation of AI-supported tools brings exciting variety to your daily work routine. You will assist with ad-hoc requests and general administrative tasks. This is what you bring with you You are studying business informatics, statistics or...

Location Berlin Employment Type Full time Location Type On-site Department IT Your role We are looking for an experienced   (Senior) AI/ML Engineer   to join our   Central Data Platform   team and take ownership of the machine learning and GenAI infrastructure that powers advanced analytics and AI use cases across the organization. In this role, you will design, build, and maintain end to end ML pipelines in Vertex AI, ensuring that models move seamlessly from prototype to production ready, monitored, cost efficient, and compliant pipelines. You will also pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI driven applications, while embedding governance, reproducibility, and scalability from day one. This is a pivotal position with high impact on how AI and machine learning capabilities are delivered, scaled, and governed at Sunday Natural. You will act as the bridge between Data...

Purpose of the Role Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such as forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges...

Ultra Tendency is a global Data & AI consultancy with teams across Europe, Asia, and the Americas. As we continue to expand our presence across Europe, we are looking for a   Senior Data Engineer – Databricks   to join our growing team and contribute to the development of scalable data platforms for international clients. In this role, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data technologies. We offer a competitive compensation package aligned with German market standards, based on experience, location, and qualifications. Your Responsibilities Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases....

Join our fully remote, mission-driven team dedicated to pioneering   sustainable inflight service management   . Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities. Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion. About the role We are hiring a   Senior Data & Analytics Engineer   to take   end-to-end ownership of our data platform and BI layer   . We are on a mission to contribute to a   zero-waste future   by drastically reducing food waste, fuel consumption, costs, and most importantly,   CO₂ emissions   in the airline industry. Every role in our company is a direct contributor to this vision - and as a   Senior Data & Analytics Engineer   you will be at the forefront of...

Location Berlin Employment Type Full time Location Type Hybrid Department Technology and InnovationInfotainment and Connectivity About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary The Berlin team is looking for a Software Engineer - Connected Vehicle Platform, to design, build, and operate software connecting vehicle systems with infotainment,...

Clariness is looking for an AI Engineer (f/m/d/) based in Germany. - Full time; unlimited - About the role: This role is about turning AI and machine learning ideas into reliable, scalable solutions for Clariness' platforms. You will join a collaborative technical environment and work across the AI/ML lifecycle, from understanding a business problem and developing a solution to deployment, monitoring and continuous improvement within the regulated clinical-trial space. As an AI Engineer, you would be responsible for: Designing, building and operating production AI and machine learning solutions, including data pipelines, models and inference services. Developing LLM-powered features using approaches such as retrieval-augmented generation (RAG), agent workflows, tool calling and structured outputs, with a focus on reliability, measurable quality and cost efficiency. Delivering end-to-end machine learning workflows on Databricks, from data preparation and...

Company: Oliver Wyman Description: Who we are Oliver Wyman is a global management consulting firm. We work with clients through their most defining moments, combining deep industry knowledge, specialized expertise, and the power of perspective to help them adapt, grow, and thrive. We believe diverse perspectives make the work stronger. Our consultants bring different backgrounds, experiences, and ways of thinking to help solve complex problems and create lasting impact for clients, colleagues, and communities. At Oliver Wyman, we are proud of the values ​​that we aspire to live by. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential. Within Oliver Wyman, the Data & Analytics (DNA) division was established in 2017 and operates globally, with a particular focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the...

Oldenburg; Berlin, July 30, 2026 Reference # 5732 DevOps Engineer (m/f/d) Working together for the best charging experience: With a comprehensive and reliable network of fast-charging stations at convenient locations, backed by a fair and transparent charging service, EWE Go GmbH is becoming a leading e-mobility brand in Germany. Be a part of it. - There are currently two openings for this position - Keep the future of e-mobility running. Take end-to-end ownership of cloud-native platforms and help deliver reliable e-mobility services at scale. You can look forward to a role that will challenge and inspire you: You ensure reliable operation and continuous improvement of our digital e-mobility products , as part of a cross-functional team, by shaping and advancing operational excellence across IT systems and applications You develop, provision, and operate AWS cloud application environments using Infrastructure-as-Code with Terraform, for...

Smarketer Group, Business Intelligence Berlin Full-time Professional, Senior September 9, 2026 Do you want to develop modern data solutions and actively shape the future of data engineering with autonomous AI agents? Then you've come to the right place. Your mission As a Full Stack Data Scientist Expert, you develop and optimize scalable data pipelines, data platforms and agentic workflows along the entire data engineering lifecycle. Your goal: To create reliable, secure and reusable data solutions that drive our automation and enable data-driven decisions. Your daily business: Identification of suitable data engineering tasks for autonomous agents, as well as definition of clear requirements, guardrails, and quality criteria. Development of agent-based workflows for pipeline creation, testing, monitoring, documentation, and data quality checks. Design, implementation and optimization of scalable ETL and ELT pipelines as well as...

Welcome! Super excited you dropped by Let's redefine cyber security expertise standards and connect business - community through highly engaging hacking experiences. (Find out more insights about Hack The Box culture in our career site). ✨The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP — building new ones, hardening existing ones, improving data quality, and making clean, trustworthy data available across the organization. You'll work end-to-end on streaming and batch pipelines, from CDC and event ingestion through transformation, serving, and the feature layer that powers our ML and AI products. Your day-to-day will include designing ELT/ETL processes on BigQuery and ClickHouse, building real-time pipelines on Pub/Sub and Kafka with Dataflow (and where it fits, Flink/Spark), orchestrating workflows with Airflow, and ensuring data is properly cleaned, modeled, and served for analytics, ML training, and online inference....

At Seven Senders, we connect people and markets, making international shipping simple. We are Europe's leading platform for cross-border parcel delivery, supporting e-commerce companies in scaling internationally and reaching millions of consumers across borders. By combining cutting-edge technology with strong local carrier networks, we ensure parcels move efficiently from warehouse to doorstep — whether speed or cost efficiency is the priority. Founded in Berlin in 2015, Seven Senders has grown into a team of 200+ logistics and tech experts. Today, we proudly work with clients such as Flaconi, Shop Apotheke, and Tamaris, shaping the future of European delivery together. Job Description Seven Senders is growing, and so is the regulatory and contractual complexity that comes with running a cross-border logistics platform. We're looking for a senior generalist to own legal, compliance, data protection, and AI governance topics for the business; and to build a...

BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas   to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases   throughout the entire AI lifecycle. Identifying patterns and trends   while simultaneously translating technical results into   actionable recommendations   and   presenting   the results to the relevant department and management. Close collaboration   with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation   in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand   your   professional   skills through   interdisciplinary   collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks As a Junior Agentic Engineer (m/f/d), you will develop and implement agent-based functions in our Delivery Squads. Working alongside experienced developers, you will contribute to modern AI solutions in real-world customer projects and support the implementation of intelligent, LLM-based systems. Implementation of components for agent-based systems   , e.g., tools, prompts, retrieval pipelines, and API integrations. Development of tests, evaluations and observability components for   LLM-based functions Contributing to code reviews   , architecture discussions, and customer demos Support for   proof-of-concepts   and   prototypes   for agent-based AI use cases Collaboration with experienced engineering teams   in the implementation of modern AI and cloud solutions. Continuous   development   in the field of Generative AI, Agentic Systems and modern software development...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

BERLIN Tasks As a Data Scientist (m/f/d), you will develop   data-driven solutions for a wide range of business challenges   and support our clients in deriving informed decisions from complex data. You will combine statistical modeling, machine learning, and modern AI approaches to develop innovative solutions from data analysis to production implementation. Development and implementation of data science solutions   for various business issues, e.g., sales prediction, media mix optimization, impact analyses, geo-analyses, or NLP-based applications for sentiment analysis. Analysis and processing of complex data sets   from structured, unstructured and geographic data sources to identify relevant customer and business insights. Development, optimization and implementation of statistical models   , machine learning methods and AI-based solutions for various use cases Creation of reports, dashboards   and data-based decision-making tools, as...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

BERLIN, MUNICH, HYBRID Tasks Our international team develops customized end-to-end solutions using machine learning for our clients. Our projects cover the entire lifecycle, from initial strategy consulting to implementation. If you're as passionate about programming as we are and want to bring your ideas to life, then join us! As a Machine Learning Engineer, you will support our customers in the   setup, maintenance, and operation   of data-intensive   cloud-based solutions   with one of the major cloud providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. With your knowledge of   programming languages,   you deliver the right solutions for our customers in the field of machine learning. This also involves using   big data technologies   (e.g., Apache Spark or Hadoop),   databases   , and   batch or real-time data integration   (e.g., Kafka or RabbitMQ). You use   CI/CD and DevOps paradigms   to develop,...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks AI systems are only as intelligent as the data and relationships they can understand.   As a Junior Graph AI Engineer (m/f/d), you'll work on the next generation of intelligent applications: You'll combine   knowledge graphs, machine learning, and large language models   to not only search company data but also make relationships visible and usable. Support in the   development   of   graph-based AI solutions   and modern applications around GraphRAG and LLMs Contributing to the   development   and   enhancement   of   knowledge graphs   and   data models. Development and optimization   of technical components   and   data pipelines with Python Conducting   initial analyses   and   experiments   in the field of machine learning and graph technologies Support in preparing   workshops   ,   demos   and   presentations   for internal teams and customers. Collaboration...

BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases throughout the entire AI lifecycle. Identifying patterns and trends while simultaneously translating technical results into actionable recommendations and presenting the results to the relevant department and management. Close collaboration with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand your professional skills through interdisciplinary collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually customizable)...