SENIOR FULL STACK DEVELOPER - SYNAPSE/FABRIC-POWERBI (JOI)

Hungary - Budapest

Tech People is a European provider of technical skills permanent recruitment and temporary contracting services for multiple industries.

Currently we are looking for a

SENIOR FULL STACK DEVELOPER - SYNAPSE/FABRIC-POWERBI (JOI)

Location: Budapest, remote

Salary: competitive

Type of work: contractor

Tasks:

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 on Microsoft Fabric/Azure Synapse platform:
- 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 organisation 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 organisation.
- 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
Duties applicable to all staff
- Work actively towards the achievement of IFRC’s goals.
- Abide by and work in accordance with the Red Cross and Red Crescent principles.
- Perform any other work-related duties and responsibilities that may be assigned by the line manager

Requirements:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Experience Required Preferred
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
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 modelling, statistics.
Focused on quality and standards, results, and accountability.
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.
Languages Required Preferred
Fluent spoken and written English.

Good to have:

Proficiency in the Apache Spark framework.
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).
Familiarity with AI-assisted development
Experience within the RC/RC Movement and/ or international humanitarian or development organisations.
Knowledge on applying artificial intelligence techniques, such as NLP and machine learning.
Strong presentation, written and oral communication skills.
Able to network effectively and influence and inspire others including peers, the membership and other stakeholders
Good command of another IFRC official language (French, Spanish or Arabic).

To apply for this opportunity, please register your CV, or for more information call +36 30 650 0484 Judit Orosz