12 data management jobs found in Berlin

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...

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....

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,...

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!...

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...

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...

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...

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, 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)...

Big tasks Development, implementation and optimization of machine learning models at the proof-of-concept level Scaling of machine learning models for use in production systems, taking into account performance, scalability and security. Design, testing and management of data pipelines for training and production systems Data acquisition, quality assurance, and feature engineering Close and independent collaboration with data scientists, software developers and other teams to integrate models into existing workflows Research, evaluation and selection of suitable machine learning algorithms and technologies, based on current research findings Target-group-oriented documentation and presentation of the developed models and their results Ideal conditions Studies in Computer Science, Computer Engineering, Mathematics, Statistics, Engineering or a comparable field of study Relevant experience in the development and implementation of machine learning...