S&P Global

2 months ago

Sr Analyst, Data Integration & Workflows

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours 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

Website LinkedIn

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S&P Global

2 months ago

Sr Analyst, Data Integration & Workflows

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn