Állás részletei
2025.01.24
InternationalHome-office
Data Platform Engineer
What we offer
- Health insurance (Medicover, Spring White Package)
- 15 days of fully paid sick leave/year
- Hybrid work arrangement
- Flexible fringe benefit system (Cafeteria, OTP SZÉP Card, Voluntary Health/Pension fund, Home internet reimbursement, Public transport pass reimbursement, Kindergarten/nursery reimbursement)
- Travel expense reimbursement for commuting to work or home leave
- Eyeglasses expense reimbursement
- "AYCM" Sport pass membership
- Access to online learning platform and trainings
- Corporate and local team-building events
Occasion-specific benefits:
- Work-related travel insurance
- 3 additional days of paid leave in case of marriage
Our client is the largest humanitarian network. It takes action in response to emergencies and promotes respect for international humanitarian law and its implementation in national law. Acting before, during, and after disasters, they improve lives and promote dignity. With over 16 million volunteers, they support communities in 191 countries, reaching 160 million people annually. Guided by Strategy 2030, they strive to save lives, enhance resilience, and foster peace globally.
It is a fixed-term contract (24 months) with possible extensions.
Your Tasks
- Design and build data pipelines for ingesting, processing, and storing data efficiently from various internal and external sources
- Ensure the performance, reliability, and scalability of data platforms, focusing on optimizing infrastructure and workflows
- Collaborate with different teams to integrate data from multiple systems and ensure smooth data flow across platforms
- Select and implement appropriate storage solutions, such as data lakes or cloud-based databases, to support organizational needs
- Implement data security measures, including encryption, access controls, and compliance with data privacy regulations like GDPR or CCPA
- Work with data analysts, data scientists, and stakeholders to understand their requirements and deliver technical solutions accordingly
- Track and resolve issues in data systems, ensuring high availability, disaster recovery, and effective backups
- Support the organization’s digital transformation efforts by enabling advanced analytics, machine learning, and other data-driven initiatives
Your Qualifications
- At least 5 years of experience in data platform engineering, working with large-scale, complex data systems
- Strong expertise with the Microsoft Data Stack, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database
- Proficiency in building and optimizing data pipelines and workflows using ETL tools such as SQL Server Integration Services (SSIS) and Azure Data Factory
- Solid understanding of cloud platforms and architecture, specifically Azure, with experience in networking principles
- Proficiency in Python, PowerShell, or similar scripting languages for automation and data processing
- Familiarity with CI/CD pipelines for data workflows, especially using Azure DevOps
- Strong knowledge of data governance, data security, and compliance with regulations like GDPR or CCPA
- Excellent communication, collaboration, and problem-solving skills
Nice to Have:
- Experience in the humanitarian or international development sector
- Certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert
- Familiarity with advanced analytics, artificial intelligence, or machine learning applications
Reference number
a0tbI00000CDKVIQA5
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Részletek
Budapest
Full-time
IT / Software Development