Senior Analyst, Data Integration – Workflows

🕒 il y a 5 mois

🇳🇱 Pays-Bas – Télétravail

⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

👻 Score fantôme 45%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

S&P Global

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1860

💼 Conseil

📦 Logistique

📣 Marketing

Consulting • Logistics • Marketing

S&P Global est un leader dans la fourniture d'intelligence de marché, de notations, d'analyses et d'indices de référence. L'entreprise offre des insights complets dans divers domaines tels que la finance, les matières premières, la mobilité et la durabilité. Réputée pour ses solutions basées sur les données, S&P Global aide les organisations à naviguer dans des tendances de marché complexes, à évaluer le risque de crédit et à comprendre les implications de l'intelligence artificielle et des transitions énergétiques. Ses offres variées, telles que S&P Global Market Intelligence, S&P Global Ratings et S&P Dow Jones Indices, fournissent des données et des analyses critiques aux entreprises, aux entités gouvernementales et aux investisseurs dans le monde entier.

Description

• Lead complex data integration initiatives from design through production deployment, ensuring solutions are scalable, observable, and aligned with enterprise architecture standards • Design and implement production-grade data pipelines (batch and streaming) that transform raw inputs into trusted curated outputs, incorporating robust error handling, validation, and reconciliation controls • Establish and evangelize engineering best practices for ETL/ELT patterns, workflow orchestration, data quality controls, and operational observability • Drive technical decision-making for pipeline architecture, technology selection, and design patterns, balancing business requirements with technical feasibility and long-term maintainability • Partner with PPD on technical planning and feasibility, providing realistic estimates, identifying technical dependencies, and shaping scope • Lead hands-on enablement with value stream SMEs through pair programming, structured guidance, and co-development sessions • Conduct comprehensive code reviews for SME-built and team-developed pipelines, ensuring adherence to standards • Implement data reliability controls including validation rules, reconciliation checks, anomaly detection, and completeness/timeliness monitoring • Provide L3 support for production business-logic issues, collaborating with value stream SMEs to drive root-cause analysis and implement permanent fixes

🎯 Exigences

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; Master's degree preferred • 8+ years of experience in data engineering, data integration, or related technical roles with progressive responsibility • 3+ years of experience in technical leadership roles, including mentoring engineers and leading complex technical initiatives • Proven track record of designing and implementing production data pipelines in complex enterprise environments • Experience in financial services, index management, or similar data-intensive industries preferred • Proficiency in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration frameworks • Advanced programming skills in languages commonly used in data engineering (Python, SQL, Scala, or similar) • Solid understanding of data quality frameworks, data validation techniques, reconciliation patterns, and anomaly detection • Experience implementing observability, monitoring, and alerting systems for production data pipelines • Familiarity with data governance principles, metadata management, and compliance frameworks.

🏖️ Avantages

• 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.