Senior Data Platform Engineer

An exciting opportunity to join our client's team at
a global organization with Headquarters in Switzerland
, as a
Senior Data Platform Engineer
.

Objectives

The Data Platform Engineer is responsible for designing, implementing, and maintaining the global data platform solutions. This role involves engineering scalable and reliable data solutions to enable data ingestion, storage, processing, and analysis, ultimately leading to reliable data-enabled decision making. The Data Platform Engineer will collaborate with multiple cross-functional teams at a global level, on a variety of projects that support the internal and external-facing activities.

Responsibilities

Data Platform Engineering:

• 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).

Data Ingestion and Integration:

• 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.

Data Storage and Management:

• 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.

Data Processing and Analytics:

• 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.

Data Security and Governance:

• 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.

Collaboration and Stakeholder Management:

• 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

Contribute to an effective, high quality team:

• Support the unit manager with regular progress reports on results against objectives and responsibilities.
• Work in close consultation and develop partnerships with colleagues with data roles across the secretariat in Switzerland and in the regions.

Qualifications

• 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).
• Experience within the RC/RC Movement and/ or international humanitarian or development organizations will be preferred.

What our client is offering

A competitive remuneration and attractive benefits.

Access to highly skilled experts to bring you the latest in learning and development with training in leadership, technical and personal development.

A flexible working environment.

Continuous learning and improvement activities.

Dynamic, international working environment.

Equal Opportunity Employer

RSight is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals, including those from diverse backgrounds and people with disabilities, to apply.

Application Instructions

Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.