Full Stack Developer

General Information

• Location: Discussable
• Start date: ASAP
• Duration: 12 months, extension possible
• Hours per week: 40
• ZZP: Yes

Job Mission

As a Full Stack Developer, you will be responsible for delivering end-to-end data solutions that support critical business processes and decision-making. You will work across the full data lifecycle, from gathering requirements and modelling data to engineering pipelines and developing reporting solutions.

Operating within a modern Microsoft-based data platform, you will contribute to building scalable, secure, and high-performing data solutions. You will collaborate closely with cross-functional teams in a global environment, ensuring that data products are reliable, accessible, and aligned with business needs.

Roles and Responsibilities

• Design and develop end-to-end data solutions from business requirements to production delivery
• Translate business needs into technical specifications, data models, and scalable architectures
• 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 workflows
• Implement data security and compliance measures in line with governance standards
• Collaborate with data architects, engineers, analysts, and business stakeholders
• Support user acceptance testing and ensure successful delivery of data products
• Document data engineering processes, architecture, and data flows
• Provide technical guidance and support to colleagues on data technologies and best practices 

Education and Experience

Must Have

• 5+ years of experience in data engineering or full stack data development roles
• 3+ 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 working with large datasets and complex data pipelines

Nice to Have

• Knowledge of ERP systems, preferably D365 F&O or similar
• Understanding 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 working in international or complex organizational environments
• Experience with cloud platforms such as AWS or GCP
• Familiarity with AI or machine learning concepts

Skills

• Strong analytical and problem-solving capabilities
• Excellent communication skills, bridging technical and business stakeholders
• Ability to work effectively in cross-functional and international teams
• High level of ownership and accountability for delivery quality
• Attention to detail in data modelling, engineering, and reporting
• Proactive mindset, identifying improvements and optimizing processes
• Ability to manage priorities in a fast-paced environment
• Collaborative approach to working with diverse teams
• Continuous learning mindset, staying current with data and cloud technologies
• Ability to translate complex data into actionable insights

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