Data Platform Engineer

Picture URL

Organisation / Department

The world’s largest humanitarian organization, with a network of 192-member National Societies. The overall aim of the organization is “to inspire, encourage, facilitate, and promote at all times all forms of humanitarian activities by National Societies with a view to preventing and alleviating human suffering and thereby contributing to the maintenance and promotion of human dignity and peace in the world.” The organization works to meet the needs and improve the lives of vulnerable people before, during and after disasters, health emergencies and other crises.

We are looking for their growing DATA and AI team Data Platform Engineer and Data Platform Architect colleagues.

Job description

• Design, implement, and manage end-to-end data solutions using Microsoft Azure services (Microsoft SQL Server, Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric).
• Develop and optimize data pipelines, ETL processes, and database performance using tools like SSIS, Azure Data Factory, and Databricks.
• Establish data quality checks and validation mechanisms during the ingestion process.
• Determine appropriate data storage technologies and structures (e.g., databases, data lakes, object storage) based on the organization's needs, and support teams in implementation of the proper solution.
• Develop data management strategies, including data partitioning, indexing, and archiving, to optimize performance and storage efficiency.
• Design and implement data pipelines to transform and analyze data at scale, primarily utilizing the Microsoft technology stack.
• Select and configure appropriate processing technologies, such as distributed computing platforms, data processing frameworks, and streaming systems.
• Collaborate with data analysts and data scientists to ensure the platform supports advanced analytics and machine learning workloads, ensuring data accessibility and accuracy.
• Contribute to data governance policies on relevant topics, such as security and storage of data.
• Monitor and optimize data platform performance and availability to ensure high availability and performance.
• Ensure data security, backup, and disaster recovery strategies are in place and effective.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and align the data platform accordingly.
• Explore and implement emerging features in Microsoft technologies (e.g. Fabrc) and integrate them into our data architecture to support business goals.
• Provide technical guidance and training to team members on data management best practices and Microsoft data technologies

Requirements

Education :

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Experience

Required

• A minimum of 5 years of progressively responsible postgraduate experience in data platforms engineering.
• Core Expertise in the Microsoft Data Stack, in particular proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
• Strong knowledge of Azure Cloud architecture and networking principles.
• Familiarity with CI / CD pipelines for data workflows (e.g., using Azure DevOps).
• Proficiency in Python, PowerShell, or similar scripting languages.
• Strong knowledge of data platform technologies, including data ingestion, storage, processing, and analytics.
• Strong experience with ETL tools like SQL Server Integration Services (SSIS) and Azure Data Factory.
• Familiarity with Microsoft Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Databricks.
• Proficiency in database design, data warehousing, and data integration concepts.
• Proficiency in cloud platforms and technologies, such as AWS, Azure, or Google Cloud.
• Experience with big data technologies, such as Hadoop, Spark, and distributed storage systems.
• Familiarity with data governance, data security, and data privacy regulations (e.g., GDPR, CCPA).

Preferred

• Experience within the RC / RC Movement and / or international humanitarian or development

organisations.

Knowledge and Skills

Required

• Strong strategic and conceptual thinking; setting meaningful, long-term vision and strategy, consider long-term potential, propose challenging strategic goals.
• Propensity for embracing change and ambiguity : anticipate emerging conditions and demands, embrace widespread organisational change, navigate complex dynamics, view uncertainty and disruption as an

opportunity.

• Ability to drive results, and create culture that fosters proactive action, actively prioritize, set high standards.
• Developing others : Push autonomy and empowerment, view people development as imperative, create culture of accountability.
• Data products development, business value development, data product deployment, and resource mobilisation.
• Strong presentation, written and oral communication skills.
• Able to network effectively and influence and inspire others including peers, the membership and other stakeholders.
• Focused on quality and standards, results, and accountability.
• Excellent interpersonal skills; proven people’s management skills (staff and consultants), including conflict resolution.
• Proven training, knowledge transfer and supervisory skills as part of the people’s management.
• Proven teamwork and trust-building skills, including development of effective and efficient networks and partnerships within and outside of the organisation.
• Proactive approach to finding creative and constructive solutions to difficult issues.

Preferred

• Data modelling, statistics.
• Knowledge on applying artificial intelligence techniques, such as NLP and machine learning.
• Certifications :

Microsoft Certified : Azure Data Engineer Associate.

Microsoft Certified : Azure Solutions Architect Expert.

• Fluent in spoken and written English is a must

Information

Ildikó Mező-Mészáros - ildiko.mezo-meszaros@randstad.hu

Boglárka Tóth - boglarka.toth@randstad.hu