What makes you stand out You have a degree in Business Informatics, Computer Science, or a related field, along with at least three years of experience in business consulting, product management, or a similar business‑oriented environment.You bring proven experience in implementing AI or automation initiatives that deliver measurable business impact.You possess practical knowledge of Agentic AI, LLMs, prompt engineering, and other GenAI concepts.You have hands‑on experience with low‑code / no‑code tools such as Cognigy, Copilot Studio, Power Automate, and Power Apps.You have foundational data literacy (data sources, permissions, PII, telemetry) and can build simple impact dashboards in Power BI; experience with Azure AI Foundry or conversational AI platforms is a plus.You work collaboratively and independently, can translate complex technical AI topics into clear business language, and have strong English skills as well as German proficiency at least at B2 level.
Make an impact: Development of our Customer Relationship Management (CRM) and Supplier Relationship Management (SRM) based on Dynamics 365 OnlineDevelopment of further business applications based on different modular elements of the MS Cloud Stack (Power Apps, Power Automate, Azure etc.)Working with state-of-the-art tools and development methodsCo-determination and design of our development methodology, release processes and agile approachSupport of our development team and management of external developersEffective collaboration with our CRM / SRM team and surrounding projects and product teamsActive design in solution design from the technical requirement to the finished solution What makes you stand out Education: successfully completed education in (business) computer science or a comparable education levelAt least 5 years' experience in the development of .NET, Dynamics, and Azure cloud components (C #, Javascript, DevOps, Visual Studio etc.)
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
You will work in an internationally oriented market segment with a broad customer base of OEMs. YOUR QUALIFICATIONS Completed technical degree in computer science/electrical engineering/mechatronics Professional experience in a comparable environment and practical experience in the analysis and specification of system requirements, preferably in the automotive industry using DOORS and RhapsodyProficient use of the SysML modeling language and experience in the development of ASIL C/D systems Systematic, process-oriented approach (SPICE, V-model) and very good technical understanding Experience in the field of digital control engineering and power electronics is desirable Experience with System-FMEA and System-FTA is desirable Excellent communication skills in English Enthusiasm and a desire to further develop oneself and the HV DC/DC and OBC products WHAT WE OFFERMobile Working and flexible working time modelsExtensive career and further training opportunities Sports and health program HELLA in Motion as well as partner of the company fitness network WELLPASSDiscounted Germany ticket for bus and trainFree coffee and water, company restaurants and cafésBicycle leasing and numerous employee benefitsCompany pension plan with HELLA allowanceFamily support: family service and advice on caring for relativesEmployee events Even if you do not meet all our requirements, do not hesitate to apply to us, because the further development of our employees is very important to us and opens up a wide range of opportunities for you in our company.
Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required. What makes you stand out Bachelor's degree or equivalent in Computer Science3+ years' experience in cloud developmentStrong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.
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.
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.
Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.