5 часов назад
Senior SAP Data Analytics Engineer (SAP)
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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 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 ’s interview process.
- Successful candidates may undergo a third-party pre-employment screening check.
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