11 data governance jobs found in Berlin

Materna Information & Communications SE Berlin Bremen Dortmund Dresden Düsseldorf Erlangen Frankfurt am Main Hamburg Hanover working from home Koblenz Cologne Munich Stuttgart Do you want to design stable, secure, and high-performance IT infrastructures using modern DevOps approaches? As an AI DevOps Engineer at Materna, you'll work on pioneering IT projects for the public sector and actively contribute to the digitalization and modernization of government processes. In an innovative environment with modern on-premises infrastructures, you'll design and operate mission-critical systems – with a high degree of autonomy, close teamwork, and development opportunities, including in the cloud. Shape the digital future with us and join #TeamMaterna as an AI DevOps Engineer (m/f/d)! As an AI DevOps Engineer (m/f/d) You will take on the role of sub-project manager in the DevOps environment and coordinate tasks for...

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...

Our mission Do you want to reach the next level? Every generation has its own technologies that drive it forward. Our generation focuses on data, information, and information management. These topics will undoubtedly continue to be relevant for generations to come. Do you want to make a lasting impact and leave your mark together with areto? Then we're a perfect match! What we offer... Flexible working hours – made possible by our trust-based working time system Working from home or in a hybrid setting? No problem for us! Workation including travel budget - so you can decide where you prefer to work. Sensational onboarding and unforgettable areto moments at our team events, including regular big-bang buddy breakfasts. Growth together – we offer you an environment that you can actively shape. With us, you can combine flexibility, personal responsibility, and entrepreneurial thinking. Onward, ever onward – the development of our aretolers is important to us!...

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...

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...

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, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the reliable operation of AI workloads, training pipelines, and inference-related systems . Dive into the development and optimization of CI/CD and MLOps pipelines to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of AI systems and distributed data platforms , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through prototyping AI applications, experimenting with...