S&P Global, formerly known as McGraw-Hill Financial, is a New York, New York-based company that provides credit ratings, analytical information, and benchmarks
Senior Analyst, Data Integration – Workflows
Location
Netherlands
Posted
33 days ago
Salary
0
Seniority
Senior
Job Description
Senior Analyst, Data Integration – Workflows
S&P Global
• 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 across the team and value streams • 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 to ensure achievable delivery commitments • Conduct comprehensive code reviews for SME-built and team-developed pipelines, ensuring adherence to standards for maintainability, testing, logging, data validation, and documentation • Prepare IT-ready handover artifacts including technical documentation, test evidence, operational procedures, and clear support boundaries • Optimize pipeline performance and cost through appropriate partitioning strategies, caching, incremental processing patterns, and compute resource tuning.
Job Requirements
- 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
- 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.
- Must be fluent in English.
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.
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