Role Description The Index Business Intelligence group delivers research, reporting and insights that drive strategic and commercial decisions. We track industry trends, competitor activity, and client needs to inform market positioning and drive business growth. We’re seeking a Data Engineer to join the Business Intelligence group with a strong emphasis on data programming, analytics, automation, and repeatable reporting. This is a hands-on role for someone who enjoys working deeply in data—building scalable reporting pipelines, performing market and commercial analysis, and translating stakeholder questions into structured datasets and insights. You will partner cross-functionally with BI, Sales, Product, Research, Finance, Legal, and other stakeholders—serving as a key connector who can turn ambiguous questions into well-defined metrics, robust data logic, and clear outputs. Key Responsibilities - Own the end-to-end development and delivery of recurring reporting, ensuring accuracy, consistency, and timeliness. - Build and maintain automated, code-driven workflows to replace manual reporting processes using Python, R, and SQL. - Develop and maintain scalable analytical products, including compliance summaries, client profiling, KPI scorecards, leadership dashboards, and strategic performance updates. - Create reusable datasets (cleaned, labeled, documented) that enable self-service analytics and consistent definitions across teams. - Implement robust data validation and quality checks (completeness, reconciliations, anomaly detection, and trend monitoring). - Maintain clear documentation for reporting logic, metric definitions, transformations, and assumptions, so analyses are reproducible and scalable. - Communicate technical constraints, tradeoffs, and findings to non-technical stakeholders in clear, practical language. Qualifications - 5+ years of experience in a role centered on data programming, analytics engineering, BI analytics, or advanced data analysis. - Must have advanced proficiency in Python (especially pandas) or R and SQL. - Proven ability to manage large datasets, transform data at scale, and build repeatable data pipelines. - Experience designing automated reporting solutions. - Strong analytical judgment, attention to detail, and ability to independently investigate and resolve data discrepancies. - Proven ability to work cross-functionally and translate stakeholder needs into clear metrics, definitions, and technical implementations. Preferred Qualifications - Experience designing data tagging and labeling frameworks for regulatory or audit use, especially using LLMs. - Familiarity with regulatory reporting requirements specifically within financial services or asset management. - Exposure to international financial regulatory frameworks. Benefits - Health & Wellness: Health care coverage designed for the mind and body. - Flexible Downtime: Generous time off helps keep you energized for your time on. - Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. - Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. - Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families. - Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Role Description We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments. - Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform. - Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases. - Implement best practices for data security, governance, CI/CD, and automated deployment. - Collaborate with data engineers, architects, data scientists, and business stakeholders. - Produce high-quality, reusable code and mentor team members on best practices. - Support testing, deployment, monitoring, and production troubleshooting. Qualifications - 10+ years of IT experience with 5+ years in Data Engineering. - 2+ years of hands-on experience with Google Cloud Platform. - Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs. - Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures. - Experience with CI/CD, Git/GitHub, and Agile methodologies. - Strong communication skills and ability to mentor junior engineers. Requirements - Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI. - Google Cloud Professional Data Engineer Certification. - Bachelor’s degree in Computer Science or related field (Master’s preferred). Benefits - Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade. - Company paid holidays. - Personal Days. - Sick Leave. - Medical, dental, and vision coverage (or provincial healthcare coordination in Canada). - Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada). - Life and disability insurance. - Employee assistance programs. - Other benefits as provided by local policy and eligibility.

Role Description In dieser Rolle übernimmst du eine zentrale Funktion bei der technischen Umsetzung von Datenmigrationen im energiewirtschaftlichen Umfeld: - Entwicklung und Pflege von Import- und Migrationsprogrammen - Umsetzung komplexer technischer Transformationslogiken - Unterstützung bei der Erstellung und Anpassung von Schnittstellen - Analyse von Fehlern sowie Performanceoptimierung bestehender Prozesse - Automatisierung wiederkehrender Migrationsschritte - Erstellung und Pflege technischer Dokumentationen - Enge Zusammenarbeit mit Consultants und Kunden in interdisziplinären Teams - AI-first Arbeitsweise: - Nutzung von KI-gestützten Tools (z. B. Microsoft Copilot) zur: - Unterstützung bei Code-Erstellung und -Optimierung - Analyse von Fehlerbildern und Logdaten - Beschleunigung der technischen Dokumentation - Identifikation und Umsetzung von Automatisierungspotenzialen - Mitwirkung beim Aufbau standardisierter, KI-unterstützter Migrationsprozesse - Entwicklung wiederverwendbarer Komponenten und Templates Qualifications - Abgeschlossenes Studium der Informatik oder vergleichbare Ausbildung - Erfahrung in der Softwareentwicklung (z. B. PL/SQL, Python, Shell) - Erfahrung mit Datenmigration oder einschlägige Berufserfahrung in der Energiewirtschaft - Fundierte Kenntnisse in Datenbanken und Datenverarbeitung - Technisches Verständnis von Windows- und Linux-Systemen - Strukturierte, lösungsorientierte Arbeitsweise - Teamfähigkeit und gute Kommunikationsfähigkeiten - Sehr gute Deutsch- und Englischkenntnisse Benefits - Flexible Arbeitszeiten und die Möglichkeit zum mobilen Arbeiten - 30 Urlaubstage pro Jahr sowie zusätzlich frei am 24. und 31. Dezember - Unterstützung für die Gesundheit: Bikeleasing und Programm zur Förderung der mentalen Gesundheit - Monatliche vermögenswirksame Leistungen nach der Probezeit - Förderung der fachlichen und persönlichen Entwicklung mit passenden Weiterbildungsangeboten - Monatlicher steuerfreier Sachbezugs-Gutschein in Höhe von 50 € in Kooperation mit Probonio - Kostenfreie Parkplätze sowie eine Ladestation für dein E-Bike - Kostenlose Getränke, frisches Obst und Kantinenzuschuss für dein Mittagessen Company Description Die Harris-Gruppe ist einer der führenden Anbieter für deutsche und internationale Branchensoftware. Als Teil der kanadischen Constellation Software Inc. (TSX:CSU) weiten Harris Computer Germany GmbH und die zum Konzern gehörenden Unternehmen ihren Marktanteil in der Softwareindustrie konsequent durch organisches Wachstum und strategische Unternehmenszukäufe aus. Die SIV.AG ist Teil der Harris-Gruppe und als einer der führenden Lösungspartner für die deutsche und internationale Energie- und Wasserwirtschaft, gestalten wir die Energie- und Wasserwirtschaft von morgen mit.

Role Description The scope of this role is to provide subject matter expertise as part of the Master Data Management organization within Cardinal Health’s Pharmaceutical Segment. - Design, configure, and support SAP Master Data solutions across Customer, Supplier, Product, and Business Partner domains, including Contacts, BP Relationships, Workflow, and Consolidation applications within SAP Fiori. - Lead requirements gathering and design the solution in business processes for SAP Master Data Management. - Provide advanced production support and drive continuous improvements through enhancements. - Lead and guide level 1 teams during service interruptions in Master Data Applications. - Support ServiceNow for Incident Management and handle incidents at level 2. - Prepare and deliver customer workshops and demonstrations of solutions based on solution design requirements. - Define and outline configuration requirements and support transactional steps for SAP MDM. - Implement Master data principles & best practices. - Implement SAP standards and MDMD solutions across various business functions. - Configure and support SAP Master Data components, including CVI Mapping, Customer, Material, and Supplier. - Lead functional integrations with business users documenting requirements & functional specifications. Qualifications - 8-12 years of experience, preferred. - Bachelor’s degree in related field, or equivalent work experience, preferred. - Expertise in the implementation of SAP MDM solutions for master data domains such as Customer, Vendor, and Material in large-scale projects. - 3PL Business, Supply Chain, Pharmaceutical Experience is a plus. - Good understanding of 3PL business model; Integrations with WMS, GTS, or ASAPIO. - Experience in integrating SAP Master Data with SAP and Non-SAP Application, especially WMS and GTS. - Strong understanding of third-party interfaces like KAFKA/ASAPIO and data conversion processes. - Working Knowledge on all Inbound and outbound Idoc types for Customer, Supplier, Material, Business Partner etc. - Proven experience in aligning business process requirements with the technical implementation of SAP Master Data. - Expert-level SAP functional configuration experience in Material, Customer, and Supplier master data, including CVI configuration. - Experience with BRF+ (Business Rule Framework plus), including building rule-based workflow services. - SAP MDG certifications are a plus. - Good written & verbal communication skills. - Cross functional expertise; ability to navigate cross functional requirements. - Experience in FIORI, BRFs, and workflow enhancements for master data elements like business partners, material master, and supplier master. Requirements - Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects. - Participates in the development of policies and procedures to achieve specific goals. - Recommends new practices, processes, metrics, or models. - Works on or may lead complex projects of large scope. - Projects may have significant and long-term impact. - Provides solutions which may set precedent. - Independently determines method for completion of new projects. - Receives guidance on overall project objectives. - Acts as a mentor to less experienced colleagues. Benefits - Medical, dental and vision coverage. - Paid time off plan. - Health savings account (HSA). - 401k savings plan. - Access to wages before pay day with myFlexPay. - Flexible spending accounts (FSAs). - Short- and long-term disability coverage. - Work-Life resources. - Paid parental leave. - Healthy lifestyle programs.