Contribute to knowledge management efforts, sharing best practices and lessons learned with the team. Dein Profil Requirements: Education: Bachelor’s degree in Computer Science, Information Technology, or related field. Experience: At least 3 years of experience with Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
Delight customers by providing outstanding technical support, service, and product selection assistance. Responsible for maintaining company property (company car, computer, office equipment, customer demo/loaner products, consignment stock, etc.) that is in his/her control, and or at his/her customer site.
As part of our team, you will take on the following responsibilities: You are responsible for the stable operation and continuous development of our Microsoft 365 environment, including Intune, Teams, SharePoint, OneDrive, Copilot, and related services.You actively contribute to the introduction of new features, technologies, and use cases within the Modern Workplace environment and support them from planning through to operational handover.You automate and standardize processes using PowerShell and Microsoft Graph to ensure efficiency, quality, and scalability.You ensure that our systems consistently comply with applicable security, compliance, and governance requirements.You work closely with internal stakeholders, support rollouts, and contribute to high user adoption through training, documentation, and enablement activities. What makes you stand out You hold a degree in computer science or have a comparable technical qualification.You have experience in operating and further developing Microsoft 365 services and feel confident in modern workplace environments.You bring solid knowledge of Entra ID (Azure AD), Intune, Conditional Access, Microsoft Teams, and SharePoint Online.You have hands‑on experience in PowerShell scripting and ideally in working with Microsoft Graph.You are interested in topics such as automation, security, governance and are motivated to further develop your skills in these areas.You work in a structured, self‑reliant manner and enjoy collaborating in a team.You have very good German and English skills, both written and spoken.
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. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
We will need you to possess the following essential qualities and skills: Recognized Degree in IT; Computer Science; Software Engineering, Finance, Business Information Technology or relevant fieldsAbove 3.0 CGPA / Second Class upper (Hons)Less than 1-year ofworking experienceHighly self-motivated team player with good analytical and conceptual thinking, results-driven with initiative and good negotiation skillsAll rounded individual with a deep interest in IT industry who enjoys challenges and strive to work with professionals in IT industry globallyAble to quickly absorb professional knowledge, good in problem-solving, contribution and leadershipEagerness to take responsibility over complex processes and ability to multitaskExcellent verbal and written English WHAT IS THE PLUS POINT (S) Experience in self-initiated projects WHAT YOU WILL GET FROM US Great team of IT professionals with global working exposure Meal Card and Flexible Benefits – customized according to individual needs On-going professional and technical training and certifications A multicultural environment in modern offices Choose any day for your vacation from earned public holiday (Saturday and ad hoc) Smart casual everyday Global internal job opportunities available within DPDHL Unlimited Outpatient Medical Home office possibilities If you are up to the challenge, contact us today and we will ensure that you will have an experience of a lifetime.
As part of our team, you will take on the following responsibilities: You develop and maintain cloud‑based data pipelines and data products specifically for the Finance domain, built on our Snowflake database.You integrate financial and transactional data from various sources into our central Data Platform, optimize ETL processes, and ensure high data quality.You design and build new DataFlows and DataSets for Finance use cases and create as well as manage the corresponding Power BI reports.You collaborate closely with Finance Product Owners, Data Scientists, and Business Units to deliver meaningful analytical data products.You take ownership of data governance for all Finance data products and actively drive their further development.You support the modernization of our Finance data architecture and contribute to the migration towards cloud‑ and big‑data‑based technologies. What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
. • Leverage knowledge of Engineer to Order (ETO) and other Product Lifecycle Management (PLM) solutions to ensure seamless E2E process integration. • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. • Long years of experience as an SAP Consultant, with a focus on S/4 HANA, SAP PP, QM, Serialization, and Batch Management. • Proven experience in SAP project roll-out implementations. • Strong analytical and problem-solving skills, with the ability to think critically and strategically. • Excellent communication and interpersonal skills, with the ability to work collaboratively across teams. • Experience with Serialization and Batch Management in an S/4 HANA environment is highly desirable. • Knowledge of Engineer to Order (ETO) processes and other PLM solutions is a significant advantage. ##5,472000004