Role Description Are you a motivated student who wants to combine sustainability, data, and technology while gaining hands-on experience in ESG management within an international software company? Your new job: - ESG data & carbon footprint - Collect, structure, and validate ESG and carbon data across teams, entities, and value-chain partners. - Help build and continuously improve OX’s ESG data backbone using digital tools and ESG software — driving better data quality, consistency, and transparency. - Support carbon footprint calculations by researching data sources, preparing assumptions, and documenting methodologies and estimates. - Customer requirements & ESG communication - Support the analysis of ESG-, sustainability-, and climate-related customer requirements and help translate them into clear, actionable insights. - Contribute to ESG-related RFP/RFI responses and support the creation of scalable ESG documentation, templates, and knowledge resources. - Climate policy & internal enablement - Research emerging best practices and market expectations around climate strategy, carbon accounting, and sustainability reporting. - Support climate-related policies and internal ESG initiatives while helping embed sustainability knowledge across the organization. Qualifications - Currently enrolled as a student and having successfully completed the first semesters in a relevant degree such as Sustainability Management, Environmental Sciences, Business Administration, Business Analytics, Business Informatics, Corporate Responsibility, or a comparable field. - Interest in ESG, sustainability, and carbon footprint management within an international business environment. - Enjoy working with data, structuring information, and improving data quality and transparency. - Reliable, detail-oriented, and well-organized working style with the ability to work independently. - Motivation to contribute ideas, take ownership of tasks, and learn new topics in a dynamic environment. - Strong communication skills and confidence in collaborating with different stakeholders and teams. - Strong verbal and written communication skills in English; German language skills are a plus. Benefits - A meaningful working student role in an international environment where you can contribute directly to ESG and climate initiatives. - The flexibility to work up to 100% remotely or in one of our German offices, creating a setup that fits your personal needs and study situation best. - Flexible working hours that allow you to successfully balance your studies, home life, and work responsibilities. - Getting together in-person for workshops and fun team events. - Sign up to Urban Sports Club and Corporate Benefits. - An open, inclusive and supportive company culture that values openness, diversity, responsibility, continuous learning, and actively encourages questions, ideas, and initiative. Company Description At Open-Xchange (OX), we develop open-source communication and collaboration software used by public sector organizations, telcos, and hosting providers to keep data secure and under their control. Our products cover email, collaboration, DNS security, and related services, and are used by millions of people worldwide. We believe that responsible business means understanding our environmental impact, improving transparency, and enabling meaningful climate action through reliable ESG data and accessible sustainability information across the company.

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary The Senior Big Data Platform Engineer is responsible for designing, operating, and optimizing the bank’s big data platforms and data processing pipelines to ensure high availability, performance, scalability, and security. This role provides technical leadership for data platform operations, supports analytics and regulatory workloads, and ensures data platforms operate reliably in a regulated Virtual Bank environment. What You’ll Do - Design, operate, and maintain big data platforms supporting banking, analytics, and reporting workloads. - Ensure availability, performance tuning, and capacity planning of data platforms and data pipelines. - Implement and maintain data ingestion, processing, and streaming platforms. - Support backup, recovery, and disaster recovery for big data platforms. - Implement monitoring, logging, and alerting for data platform components. - Ensure data platform security controls, access management, and encryption are properly enforced. - Lead incident response and root cause analysis for data platform–related issues. - Collaborate with Application, Cloud, DBA, and Security teams to support platform integration and stability. - Review and improve operational procedures, standards, and runbooks. - Mentor junior engineers and contribute to data platform best practices. - Support audits, regulatory reporting requirements, and operational reviews. - Drive continuous improvement initiatives to enhance platform reliability, scalability, and efficiency. What We’re Looking For - Bachelor’s degree in computer science, Information Technology, Data Engineering, or related field. - Minimum5–7 years of experience in big data platform engineering or data operations. - Strong hands-on experience with big data technologies (e.g. Hadoop, Spark, Kafka, data lakes). - Experience operating data platforms in production environments. - Familiarity with cloud-based data platforms (Azure preferred; AWS/GCP is a plus). - Good understanding of data security, access control, and operational controls. - Experience supporting 24x7 production systemsor regulated environments is preferred. - Strong problem-solving, communication, and technical leadership skills. - Good command of English (reading, writing, and speaking); ability to communicate technical concepts clearly in English with cross-functional teams and stakeholders. Why Join CAPCO - Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry - Work in a collaborative, flat, and entrepreneurial consulting culture - Access continuous learning, training, and industry certifications - Be part of a team shaping the future of digital financial services - Help shape the future of digital transformation across FS & Energy We offer - A work culture focused on innovation and creating lasting value for our clients and employees - Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings - A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients - An agile, diverse, entrepreneurial, inclusive, meritocratic culture Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-PW1 #LI-Hybrid

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It with Pride In This Role As a Data COE Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: - Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. - Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. - Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. - Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. - Collaborate and Innovate: Work closely with data architects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices. - Team Lead: Create & lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards. Technical Requirements: - Programming: Python - Database: SQL, PL/SQL, Postgres SQL, Big query, Stored Procedure / Routines. - ETL & Integration: AecorSoft/Datasphere, DBT, Databricks (Optional) - Data Warehousing: SCD Types, Fact & Dimensions, Star Schema - Data Modeling: Erwin (Optional) - Medallion Architecture: Bronze, Silver, Gold, Platinum - GCP Cloud Services: Big Query, GCS, Cloud Function/Run, GKE - Supporting Technologies: Airflow (Composer), Automic. - Visualization (Optional): PowerBI (Optional), Tableau (Optional) Soft Skills: - Problem-Solving: The ability to identify and solve complex data-related challenges. - Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. - Analytical Thinking: The capacity to analyze data and draw meaningful insights. - Attention to Detail: Meticulousness in data preparation and pipeline development. - Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. No Relocation support available Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. 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. Job Type Regular Analytics & Modelling Analytics & Data Science

Title: AI/Data Engineer Location: United States of America : Remote Job Description: time type Full time job requisition id 31150268 Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: - Career development with an international company where you can grow the career you dream of. - Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. - An excellent retirement savings plan with a high employer contribution. - Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. - A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. - A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Kansas City, Lake Forest, Willis Tower, or remote locations near an Abbott office in the eScreen Business Group in Abbott Rapid Diagnostics. We’re empowering smarter medical and economic decision-making to help transform the way people manage their health at all stages of life. Every day, more than 10 million tests are run on Abbott’s diagnostics instruments, providing lab results for millions of people. The AI / BI Engineer contributes to the design, development, and operation of analytics and AI‑ready data solutions on Azure. This role focuses on building reliable data pipelines, Lakehouse and Lakebase Postgres assets, and AI‑enabled applications under the guidance of senior and lead engineers, while developing deep expertise in Azure Databricks, BI, and AI foundations. This is an individual contributor role for someone that is ready to grow their skills in Abbott, we do not expect you to be an expert at this level. What You’ll Work On Data & Lakehouse Engineering - Develop and maintain batch and streaming pipelines using Azure Databricks, PySpark, and SQL. - Contribute to Lakehouse and Medallion Architecture components supporting BI, AI, and operational workloads. - Assist in designing and maintaining Lakebase Postgres data models to support AI applications and agents. - Build curated datasets and semantic layers for Databricks AI/BI Dashboards, Genie Spaces, Power BI, and downstream consumers. AI Platform & Application Support - Support Lakebase Postgres‑powered AI applications, ensuring data accuracy and reliability. - Contribute to Databricks Apps that surface analytics and AI insights to business users. - Assist with development and enhancement of AI agents, including data preparation and embedding pipelines. - Support ML workflows using MLflow and Azure ML integrations. - Contribute to generative AI pipelines such as embeddings, vectorized data, and RAG workflows. Platform Operations & Collaboration - Monitor and troubleshoot pipelines and application workloads. - Follow established Unity Catalog, governance, and security standards. - Collaborate with BI developers, data scientists, and senior engineers to deliver business outcomes. Required Qualifications - Bachelor's degree in STEM related field or associate's degree in similar field and 7 years of experience in similar area. - 3 or more years of experience in similar area of expertise with bachelor's degree. Preferred Qualifications - Preferred: Databricks Certified Generative AI Engineer Associate - Azure: Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals. - AI & ML: Understanding of ML and generative AI concepts. - Programming: Proficiency in Python and SQL; exposure to PySpark preferred. - Databricks Platform: Working knowledge of Spark, Delta Lake, and Databricks Apps. - Lakebase Postgres & AI Foundations: Introductory experience with relational modeling and AI data access patterns. - Preferred: Databricks Certified Generative AI Engineer Associate - Azure: Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals. - AI & ML: Understanding of ML and generative AI concepts. - Master's Degree in similar field The base pay for this position is $78,000.00 – $156,000.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Product Development DIVISION: TOX ARDx Toxicology LOCATION: United States of America : Remote ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Yes, 5 % of the Time MEDICAL SURVEILLANCE: No SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans