Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. Mondelēz Consumer Solutions Global MDS ( IT) Team is looking for energetic and experienced people with strong technology & marketing skills to play important roles as part of technology and business transformations within the area of Consumer Data Platform (CDP). Building best in class CDP for collecting, unifying, and connecting customer data leveraging capabilities that will allow proper segmentation, data privacy management and will enable personalization. All of that in a easy to integrate way for external partners working on top class consumer experiences. Person in this role will partner with Data & Analytics, CRM/ESP, Social and Paid Media teams. How you will contribute - Collect requirements from regional and local teams when it comes to Consumer Data - translating business requirements to technical scope - Collaborates with stakeholders and different teams (global, regional and local) from the organization to collect data, identify gaps, conduct ideation session and create functional requirements. - Create, manage and keep up to date product roadmaps, feature backlogs and product documentation such as user stories, use cases, user flows, logic flows, and functional specifications - Collaborates with Architecture team, Application/Platform, Technical Product teams to make right technology choices (including build vs buy approach) - Be very creative and curious and make regular contributions for new product ideas based on market need, usage conclusions and industry trends - Champion customer data platform workshops and user adoption - Understand the technology stack, dependencies between applications and how the data flows between them - Partners with Integration Lead and other Product Leads across Consumer data ecosystem (Consumer Data Lake, Marketing orchestration, SaaS/custom capabilities, Consumer Privacy) - Accountable for Product quality (defines Product goals and KPIs, ongoing support), Product budget and ensures all work implemented with quality, meeting performance, security & privacy needs - Create document user cases, products, and supporting data requirements - Collaborates with internal Infosec and Privacy teams to ensure key standards implemented according to Mondelēz policies to ensure data is securely collected leveraging privacy by design best practices. What you will bring - Previous experience in CDP area (ideally in CPG industry), data-driven marketing, analytics, and digital transformation. - Experience in establishing and operating IT Products, Martech experiences - Experience with Agile development methodologies - Experience in managing technical teams (internal or external) to achieve Win-Win partnerships - Ability to understand, explain and present technical ideas to both technical and non-technical audiences - Ability to set strategic direction and drive execution through collaboration with a cross-functional team. - Strong collaboration skills, proactively sharing observations & improvements areas, problem solving skills, attention to details, can-do attitude - Curiosity and energy to continually learn new marketing technologies and stay apprised of security and regulatory changes. - Fluent in English Nice to have: - Certifications in ITIL, SAFe Agile - Familiar with basics of cloud environments (e.g. Google Cloud Platform) Relocation Support Available? No Relocation support available Business Unit Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our succes Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER Job Type Regular Digital Strategy & Innovation Technology & Digital

be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 L5: $165,000 - $220,00 L6: $225,000 - $300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role.  Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Design and implement data streaming solutions to process real-time data efficiently. Develop and maintain robust data pipelines for both real time and batch processing including data extraction, transformation and ETL processes to ensure seamless data flow across systems. Create and manage large scale data warehouses to ensure efficient data access and retrieval in support of business intelligence and analytics needs. Develop certified datasets by integrating data from diverse data sources to ensure data accuracy, consistency and reliability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective data solutions. Optimize data workflows, monitor data pipelines and troubleshoot issues to ensure high performance, reliable and scalable data flows. Ensure data security and compliance with industry standards and regulations. Stay current with industry trends and advancements in data engineering, data science and machine learning Write efficient and well documented code ensuring unit tests documentation for all data solutions. Implement data engineering solutions into data platforms or production systems by leading the solution design, development, testing, and monitoring The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications - Minimum 6 years experience in software engineering, data engineering, database management or relevant experience - Proficiency in programming languages such as Python, SQL, Java - Strong understanding of data warehousing concepts including dimensional modeling and star schema. - Experience with ETL processes and tools including cloud based solutions - Familiarity with database management systems (e.g., SQL, NoSQL) and modern lakehouse technologies (eg. Apache Iceberg, Delta Lake, Apache Trino) - Experience with data streaming technologies (e.g., Apache Kafka, AWS Kinesis, Apache Flink and Apache Spark) - Experience in data engineering, with a focus on data streaming, data pipelines, data orchestration tools, datamart creation, and certified datasets - Experience in DevSecOps standards, source control systems and tools like Jenkins, GitHub - Excellent problem-solving skills and attention to detail - Strong communication and collaboration skills - Intellectual curiosity and ability to thrive in a team environment that is constantly changing - Demonstrated ability to learn new technical concepts and to adapt to new technologies quickly - Ability to communicate in a clear, concise, professional oral or written manner, to be understood by technical and non-technical colleagues Preferred Qualifications - Bachelor's degree or higher in Computer Science, Information Technology or a related field - Prior experience with Data Engineering tools and architectures - Experience in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or other Transportation industries or experience in a High-Tech industry - Experience working in an Agile environment (Scrum, Kanban, SAFe) - Experience with cloud platforms - Proficiency in using Jupyter for collaborative data analysis - Experience with open-source technologies and tools - Have knowledge of geospatial data transformation and spatial libraries At BNSF, you will have access to a comprehensive and competitive benefits package including: - An industry-leading 401(k) and renowned Railroad Retirement program. - A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. - Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. - Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). - Access to discounts on travel, gym memberships, counseling services and wellness support. - Annual bonus (Incentive Compensation Program) - Generous leave / time off policies. - For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Role Description Wir suchen einen Kaufmännischen Mitarbeiter (m/w/d) im Bereich Energiedatenmanagement (EDM) im 100 % Homeoffice in Erfurt. - Verarbeitung und Analyse energiewirtschaftlicher Daten - Pflege und Auswertung von Lastgängen und Verbrauchsdaten - Prüfung und Plausibilisierung von Messwerten - Unterstützung bei der Datenaufbereitung für Abrechnung und Bilanzierung - Bearbeitung von Abweichungen und Klärfällen - Erstellung von Auswertungen und Reports - Dokumentation und Pflege von Datenbeständen Qualifications - Erfahrung im Energiedatenmanagement (EDM) erforderlich - Sicherer Umgang mit energiewirtschaftlichen Daten und Prozessen - Sehr gute Excel-Kenntnisse und Affinität zu Zahlen - Kenntnisse in Systemen wie SAP IS-U, Schleupen, Wilken oder Powercloud von Vorteil - Strukturierte und analytische Arbeitsweise - Sehr gute Deutschkenntnisse Benefits - 100 % Homeoffice (bundesweit) - Projektbezogener Einsatz bei Kundenunternehmen aus der Energiewirtschaft - Unbefristete Festanstellung - Strukturierte Einarbeitung und klare Prozesse - Planbare Arbeitszeiten (Montag bis Freitag) - Langfristige Perspektive Company Description

• Design and evolve enterprise data architectures, including Lakehouse, Data Warehouse, pipelines, semantic models, and reporting layers. • Define and maintain architectural standards, patterns, and best practices across Microsoft Fabric and Azure services. • Translate enterprise data strategy into epics, features, and actionable technical stories. • Lead technical planning activities, identifying dependencies, risks, and trade-offs early in the lifecycle. • Establish and enforce standards for data quality, taxonomy, pipeline design, and semantic modeling. • Review solution designs and critical implementations to ensure scalability, performance, and maintainability. • Act as a technical leader and mentor, elevating engineering practices and system-level thinking. • Design, build, and enhance data pipelines, dataflows, notebooks, and semantic models. • Contribute hands-on to complex and high-impact initiatives where architecture and implementation intersect. • Support platform modernization, including migration from on-prem SQL Server to Microsoft Fabric. • Optimize data solutions for performance, reliability, and cost efficiency. • Collaborate with Data Scientists to productionize ML models and integrate them into enterprise pipelines. • Apply AI-assisted techniques to improve development workflows and solution quality. • Deliver scalable, maintainable, and high-quality data solutions aligned with best practices. • Participate in cross-project planning and release activities. • Collaborate with Product Owners and stakeholders to align solutions with business needs and priorities. • Monitor systems using logs and dashboards to ensure performance, reliability, and issue resolution. • Create and maintain clear, concise technical documentation (architecture, systems, processes).