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5 часов назад

Senior SAP Data Analytics Engineer (SAP)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior SAP Data Analytics Engineer (SAP): Building and scaling data pipelines, models, and integrations for regulated payments and e-money services with an accent on SAP S/4HANA, enterprise data warehousing, data governance, and financial data quality. Focus on designing production data architectures, implementing compliance and security controls, optimizing large-scale SQL workloads, and mentoring engineers.

Location: Amsterdam, Netherlands; hybrid working, with flexible arrangements and up to 20 days per year working from abroad from the home country.

Company

hirify.global operates a global travel technology platform and is expanding its regulated payments and e-money services through its Financial Systems team.

What you will do

  • Design, build, and scale reliable data pipelines, models, and integrations for critical financial systems.
  • Own complex data solutions end to end, from technical strategy and architecture through production deployment and monitoring.
  • Implement data governance, security controls, and compliance measures for regulated financial data.
  • Develop validation, monitoring, and automated failure-detection solutions to improve data quality.
  • Mentor less experienced engineers and promote clean code, design patterns, and test-driven development.
  • Collaborate with product stakeholders, finance, and engineering teams to deliver reusable data products.

Requirements

  • At least 5 years of experience as a Data Engineer or in a similar role.
  • Experience designing enterprise data warehouses and multi-layered data architectures.
  • Strong hands-on experience with schema design, data modeling, complex SQL, stored procedures, and performance tuning.
  • Experience extracting data from SAP S/4HANA and understanding its underlying data structures.
  • Hands-on experience with at least one of SAP HANA XSA, SAP Datasphere, or Snowflake, plus ETL/ELT methodologies.
  • Experience with reusable code, Git-based version control, CI/CD pipelines, data visualization, Agile frameworks, and stakeholder management. Fluent English is required.

Nice to have

  • Experience using AI-assisted tools for data modeling, query optimization, and data analysis.
  • Familiarity with Data Product concepts, data contracts, and user-centric reusable data models.

Culture & Benefits

  • Annual paid time off and paid parent, grandparent, bereavement, and care leave.
  • Product discounts of up to 1400 per year, including Genius Level 3 status and hirify.global wallet credit.
  • Opportunities for technical and behavioral development through projects, hackathons, conferences, and community participation.
  • Part-time and reduced working-week arrangements may be considered, with a minimum of 32 hours per week.
  • Inclusive workplace with adjustments and tools available for colleagues with disabilities.
  • No relocation assistance is provided.

Hiring process

  • Application followed by hirify.global’s interview process.
  • Successful candidates may undergo a third-party pre-employment screening check.

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