Data Platform Engineer, Randstad

Randstad

Location:

Hungary, Budapest

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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. Fabric) 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:

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

Nice to have:

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

What we offer:

cafeteria benefits
medical insurance
personalized home office options
frequent opportunities to travel globally

Additional Information:

Job Posted:

March 30, 2025

Expiration:

April 18, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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