Senior Full Stack Developer

General Information

• Location: Discussable
• Start date: 1st of June
• Duration: 12 months, extension possible
• Hours per week: 40
• ZZP: Yes

Job Mission

As a Senior Full Stack Developer, you will be responsible for delivering end-to-end data solutions that directly support business operations and decision-making. You will operate across the full data lifecycle, from requirements gathering and data modelling to engineering, reporting, and deployment, ensuring high-quality and scalable data products.

You will work within a modern data platform built on Microsoft Fabric and Azure Synapse, leading the development of data pipelines, models, and dashboards while coordinating a small team of developers. This role combines hands-on engineering with leadership, enabling you to drive both technical delivery and continuous improvement in a complex, international environment.

Roles and Responsibilities

• Design, develop, and deliver end-to-end data solutions from requirements to production
• Translate business requirements into technical specifications, data models, and scalable solutions
• Develop and maintain data pipelines and data products using SQL, PySpark, and related technologies
• Design and implement data models using Data Vault and dimensional modelling techniques
• Build and maintain dashboards and reports in Power BI to deliver actionable insights
• Perform data ingestion, transformation, and integration within Microsoft Fabric and Azure Synapse
• Implement data quality controls, validation processes, and monitoring mechanisms
• Optimize performance of data pipelines, queries, and data processing workflows
• Implement data security and compliance measures in line with governance standards
• Lead and coordinate a team of developers, managing priorities, workload, and delivery timelines
• Mentor team members and support their technical and professional development
• Collaborate with data architects, engineers, analysts, and business stakeholders globally
• Support user acceptance testing and ensure successful delivery of data products
• Maintain documentation of data models, pipelines, and system architecture

Education and Experience

Must Have

• 7+ years of experience in data engineering or full stack data development roles
• 4+ years of experience with Microsoft Fabric or Azure Synapse and Power BI
• Strong experience with data modelling, including Data Vault and dimensional modelling
• Proven experience delivering end-to-end data solutions and analytics products
• Proficiency in programming languages such as Python, SQL, or Java
• Strong experience with Apache Spark and distributed data processing
• Experience with data lake and lakehouse architectures
• Strong knowledge of Azure cloud architecture and data services
• Experience with CI/CD pipelines and DevOps practices for data workflows
• Experience leading or mentoring technical teams

Nice to Have

• Experience with ERP systems, preferably D365 F&O or similar
• Knowledge of finance or accounting data models
• Experience with big data technologies such as Hadoop or distributed storage systems
• Familiarity with data governance, data security, and privacy regulations
• Experience with AI-assisted development or analytics solutions
• Experience working in international or complex organizational environments
• Experience managing technical projects and delivery timelines
• Familiarity with cloud platforms such as AWS or GCP

Skills

• Strong leadership and team coordination capabilities
• Excellent communication skills, bridging business and technical stakeholders
• Strong analytical and problem-solving abilities in complex data environments
• Strategic thinking with the ability to design scalable and future-proof solutions
• High level of ownership and accountability for delivery and quality
• Ability to work in cross-functional, international teams
• Strong attention to detail in data modelling, development, and reporting
• Proactive mindset, driving improvements in processes and technologies
• Ability to manage priorities and deliver in a fast-paced environment
• Continuous learning mindset, staying current with data and AI developments
• Experience working in Agile and iterative development environments

Tech Stack

• Microsoft Fabric
• Azure Synapse Analytics
• Azure Data Factory
• Power BI
• SQL
• Python
• Apache Spark
• Data Vault, Dimensional Modelling
• Azure Cloud Services
• CI/CD pipelines, Azure DevOps
• Data Lake & Lakehouse architectures