1085 data analyst English-speaking jobs in Munich

You have built and automated complex data pipelines. ... Automate pipelines for data ingestion and model training. ... Collaborate with data scientists in training and fine-tuning machine learning models. ... Adopt new tools and best practices in the area of machine learning and data processing. ... You’ll work closely with data scientists to transform models into scalable systems, and with software

processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal ... omics analysis (scRNA-seq, ATAC-seq, CUT&RUN, MERFISH, Visium), proteomics (LC-MS/MS), (epi)genomic data ... high-performance computing infrastructure of the Leibniz Supercomputing Centre (LRZ) and dedicated data

Experience building and monitoring data pipelines. ... Explain data constraints to engineering, product, and stakeholder teams. ... Develop and maintain robust data pipelines and orchestration processes. ... Familiarity with data science frameworks (NumPy, pandas, scikit-learn). ... Contribute to text analysis and NLP models to extract and structure core business data.

contributing to protocol development, supporting investigator training, reviewing and interpreting safety data

💼 They are looking for backend-focused Software Engineers to help evolve core systems that support data-driven ... platform services and internal tooling Build, deployment and operational processes Systems supporting data-heavy

Key Requirements Master’s degree in business, Data Science, Computer Science, or related field. 5+ ... will have a strong background in product management, an extensive experience in product ownership, data ... Strong understanding of data analytics including the visualization and security standards & compliance

Proven track record in large-scale data pipeline orchestration. ... Explain data constraints to engineering, product, and stakeholder teams. ... Develop and maintain robust data pipelines and orchestration processes. ... Contribute to text analysis and NLP models to extract and structure core business data. ... Experience with infrasturc Familiarity with data science frameworks (NumPy, pandas, scikit-learn).

Train, deploy and monitor 2D/3D object detection models (Camera, LiDAR, Radar) Build and maintain data

Analyze quality monitoring data using statistical techniques to detect existing and potential causes

Studies in computer science, engineering, data science or a related field. ... Proficiency in Python for data processing, model integration, prototyping and API deployment. ... You will support building and optimizing data pipelines to process diverse formats using AWS Glue, SQL ... Familiarity with SQL, GraphQL and working with heterogeneous data formats like tables and graphs. ... Moreover, you will assist in designing and implementing MCP and agentic systems using various data sources

Analyze market, customer, and sales data to make fast, business-driven prioritization decisions.

Data & Cloud Knowledge: Strong foundational understanding and experience with data architecture, data ... of Data Science concepts. ... journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data ... The Opportunity: Accelerate the AI Data Cloud Journey The Account Engineer is a high-impact, cross-functional ... Experience with modern data technologies CI/CD tooling, orchestration tools) or a basic understanding

cloud platforms, cybersecurity, IT service management, systems administration, enterprise applications, data ... or more areas: cloud, cybersecurity, networking, systems, ITSM, DevOps, enterprise applications, or data

and deploy agentic systems using Microsoft CoPilot, LangGraph, and related frameworks — connecting data ... CoPilot, LangGraph, Make.com, or similar platforms Design and integrate agentic workflows combining data

Our system doesn't just display data, it reasons, recommends, and learns. ... Senior AI Engineer The Opportunity Greenhouses generate terabytes of data from climate computers, sensors ... primitives across crops and use cases Reasoning capabilities, improve reasoning across structured data ... synthetic scenarios, and real customer datasets Tool integrations, integrate with external tools, data ... Testing and validation, design automated testing pipelines and validate outputs against historical data

Responsibilities Define system, data, and deployment architectures (APIs, microservices, event-driven ... Security and privacy awareness (SSO/IAM, secrets, audit logging, data governance; EU AI Act awareness ... Lead architecture reviews, threat modeling, and readiness checks; ensure compliance and data governance ... Expertise in distributed systems, APIs/microservices, messaging (Kafka/Pub/Sub), and data storage (Postgres

University degree or equivalent in Computer Science, Information Systems, Engineering, Machine Learning, Data ... full-stack GenAI and ML applications supporting Operations use cases in Asset Management Build and integrate data ... controls, and model evaluation standards Ensure alignment with compliance, operational integrity, and data‑protection

Our success is measured by data correctness, consistency, and trustworthiness, even in complex and evolving ... Spring Boot, Spring Data) Experience with event-driven design (e.g. asynchronous processing, messaging ... Kotlin Build and evolve scalable, event-driven systems that process, validate, and expose financial data ... and Finance stakeholders to translate business requirements into robust technical solutions Ensure data ... DynamoDB) and/or relational systems Comfortable working in complex, data-heavy domains (ideally Finance

, including attribution, data models and data quality Translate insights into clear actions and recommendations ... To do that, we need someone who can turn fragmented data into insight, complexity into structure, and ... After a phase of rapid expansion, we are now transitioning into a more professionalised, data-driven ... , processes, metrics and ownership Own CRM data logic and analytical foundations (HubSpot or similar) ... footprint is expanding, and our ambition is clear: we want to steer growth with confidence, clarity, and data

pipelines to process large-scale unstructured data efficiently Improve reliability of AI workflows ... products, suppliers, and documents Build evaluations to measure quality and iterate quickly Build data