Senior Full Stack Developer

Data analytics and reporting

• Analyze and understand business process and data models, business logics, modelling logics, and ways to identify missing data.
• Liaise with business contacts or business analysts to understand their needs, and translate these into specifications of requirements.
• Identify data requirements and data elements and ingest them in the data platform if missing.
• Design and implement complex dashboards and reports in Power BI to provide actionable information.
• Follow through on UAT identified issues and their resolution.
• Publish data and reports to production.
• Maintain dashboards and reports over time.

Data Engineering

• Develop database schemas, define relationships, and optimize performance based on the specific requirements of the data solution.
• Develop data products using SQL and PySpark.
• Implement data quality checks and processes to ensure data accuracy, consistency, and completeness.
• Implement security measures to protect sensitive data and ensure compliance with relevant regulations and standards.
• Optimize solutions for performance and scalability.
• Identify and resolve performance bottlenecks, optimize SQL queries, and fine-tune data processing workflows.
• Document data engineering processes, system architecture, and data flow diagrams for knowledge sharing and future reference.

Team Management

• Oversee the operation of the full stack developers, managing priorities, interactions, and workload.
• Track and document the progress of the team through tools like devops boards.
• Propose improvements to processes and technologies, bringing efficiency to the team.
• Mentor the development of the team, including the development and refinement of skills.

General

• Work collaboratively with cross-functional teams, including architects, data scientists, data analysts, and business stakeholders.
• Act as authority across the organization in area of data engineering and report development, and as a mentor and guidance for colleagues to encourage the adoption of self-service analytics across the organization.
• Provide technical guidance and training to colleagues on data management best practices and Microsoft data technologies.
• Support the Manager of the Data unit 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 Geneva and in the regions.

Education Required

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

Experience Required

• 7+ years of progressively responsible experience in data engineering with a focus on data modelling and 4+ years in data engineering (Microsoft Fabric or Azure Synapse) and report development (Power BI).
• Proven track record as a Data Engineer or similar role, and in Power BI development, including Paginated or SSRS reports.
• Core Expertise in the Microsoft Data Stack, in particular proficiency with Fabric, Azure Data Factory, Azure Synapse Analytics.
• Proven experience in Data Lake and Data Lakehouse implementation (e.g., Microsoft Fabric, Azure Synapse, Databricks, Snowflake, Microsoft SQL Server, Apache Spark/Hadoop, or other similar big data or SQL databases).
• Experience in Data Vault and dimensional data modeling techniques.
• Proficiency in programming languages such as Python, SQL, or Java.
• Knowledge of Finance/Accounting logic in ERP, ideally with D365 F&O. Understanding humanitarian accounting logic is a benefit (appeals, pledges, projects, etc.).
• Experience in data governance, architecture, and handling large datasets and data pipelines.
• Strong knowledge of Azure Cloud architecture and networking principles.
• Familiarity with CI/CD pipelines for data workflows (e.g., using Azure DevOps).
• Proven experience in leadership of a data science (or similar) team, with management of direct reports.
• Experience in management and delivery of technical projects.