Sr Analyst, Data Integration & Workflows

S&P Global
Netherlands
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: bachelorsSkills: ["Mentoring","Leadership","Communication","Collaboration","Problem-solving"]

Lead design and production-grade data integration pipelines and workflows for index and analytical solutions, combining hands-on coding with technical leadership; mentor engineers, establish ETL/ELT, observability, and data quality practices, and collaborate with cross-functional teams to deliver scalable, reliable data platforms.

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FursaFursa
S&P Global
S&P Global
3 months ago

Sr Analyst, Data Integration & Workflows

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 28 days agoStatus: Live

Job Summary

Lead design and production-grade data integration pipelines and workflows for index and analytical solutions, combining hands-on coding with technical leadership; mentor engineers, establish ETL/ELT, observability, and data quality practices, and collaborate with cross-functional teams to deliver scalable, reliable data platforms.
Location: Netherlands
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •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 with robust error handling and validation
  • •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 needs with long-term maintainability
  • •Partner with PPD on technical planning and feasibility, providing realistic estimates and shaping scope for achievable delivery

Key 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
  • •Experience in financial services, index management, or similar data-intensive industries preferred
Experience:8+ yearsData engineeringData integrationFinancial servicesIndex management
Education:Bachelor's
Skills:MentoringLeadershipCommunicationCollaborationProblem-solving
Tech Stack:PythonSQLScalaETL/ELTData pipelineWorkflow orchestration

Company Brief

S&P Global
Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1917
WebsiteLinkedIn