Herzlich willkommen bei der Dekra Arbeit. Werden Sie Teil unseres Teams als Manufacturing Engineering Technical Shopfloor Support (d/f/m) bei unserem Kunden in Hamburg-Finkenwerder. Ihre Aufgaben: Wiederkehrende technische Probleme erkennen, analysieren und lösen Optimierung der Arbeitsergebnisse durch Planung, Produktionssteuerung und Prozessgestaltung Erreichen der Bereichsziele und kontinuierliche Prozessverbesserung Nichtkonformitäten in der Produktion bzgl.
Herzlich willkommen bei der Dekra Arbeit. Werden Sie Teil unseres Teams als Manufacturing Engineering Technical Shopfloor Support (d/f/m) bei unserem Kunden in Hamburg-Finkenwerder. Ihre Aufgaben: Wiederkehrende technische Probleme erkennen, analysieren und lösen Optimierung der Arbeitsergebnisse durch Planung, Produktionssteuerung und Prozessgestaltung Erreichen der Bereichsziele und kontinuierliche Prozessverbesserung Nichtkonformitäten in der Produktion bzgl.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
What you will do Gather, analyze, and interpret data to fulfill reporting requests from business stakeholders Translate complex data into clear, actionable insights that support business strategy Support ad hoc analysis and contribute to data-driven decision-making Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows Maintain, design, and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions Communicate findings effectively to technical and non-technical audiences Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes Who you are You have at least 1-2 years of experience as a Data Analyst Proficiency in SQL for complex data analysis, reporting, and querying large datasets Experience with Google BigQuery Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports Excellent communication skills in English Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
Work data-driven, based on reports and analyses, to derive actions oriented toward customer needs Manage and communicate with all relevant stakeholders Understand stakeholder demands, needs, and issues – translate them into actionable & feasible product requirements and build scalable tech solutions Triaging operative issues, identifying technical dependencies, and evaluating business impact Lead cross-team projects and collaborate closely with other tech teams to execute end-to-end solutions Who you are Master’s degree or equivalent in a relevant field 7–10 years of experience in product management for tech products within software development, focused on backend systems Proven expertise in agile methodologies and collaboration with developers, data scientists, and QA managers Strong understanding of technology, business processes, and functional dependencies Hands-on experience with e-commerce systems, ideally in retail Skilled in IT project management and leading cross-functional initiatives At least 2 years of team leadership experience Analytical, detail-oriented, and customer-focused with a proactive mindset Exceptional communication skills in English, adaptable to diverse perspectives Comfortable in international work environments, with a focus on efficiency and solutions Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Laracast account for free Company parties Help in the relocation process Mobility subsidy State-of-the-art technology Central Location Flexible Working Hours Company pension Professional training Dog-friendly office Remote AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.