Business Intelligence Developer - Data Warehousing & Modelling

Are you passionate about turning raw data into actionable insights? As a Business Intelligence Developer specializing in Data Warehousing and Modelling, you’ll play a pivotal role in shaping our data-driven future. Working closely with our Senior Data Engineers, you’ll design, build, and optimize data models and warehouse solutions that power our next-generation data platform.

Your work will transform complex, disparate data into clear, reliable, and accessible insights, enabling smarter decisions across the organization. This isn’t just about building reports—it’s about creating the foundation for scalable analytics, fostering trust in data, and driving global transformation through a modern, cloud-first technology stack. If you’re excited to see your work directly impact business outcomes, this is the role for you.

• Developing and maintaining data pipelines that deliver refined, high-quality data to our Enterprise Information Management platform
• Consolidating and transforming data from multiple internal and external systems for planning and analytics use
• Supporting and enhancing our data warehouse infrastructure, ensuring consistency and reliability of source data
• Applying data validation rules, quality checks, and governance standards throughout the pipeline
• Implementing and maintaining monitoring, alerting, and documentation to ensure system transparency and stability
• Collaborating with team members and stakeholders to continuously improve workflows, tools, and technical practices

A detail-oriented, analytical thinker who thrives in a collaborative, fast-paced environment.

You’re passionate about building efficient data models and warehouse solutions that empower decision-making.

You enjoy working closely with data engineers, following established standards, and contributing to a shared mission of data-driven transformation.

You’re curious, eager to learn, and ready to grow your expertise in business intelligence and data warehousing.

• Strong understanding of data warehousing concepts, including dimensional modeling, star schemas, and snowflake schemas.
• Proficiency in designing and optimizing data models for analytics and reporting.
• Solid experience with ETL/ELT processes and tools for data integration and transformation.
• Knowledge of advanced data modeling techniques, such as slowly changing dimensions (SCD) or change data capture (CDC).
• Advanced proficiency in T-SQL for querying and managing data in relational databases.
• Familiarity with cloud platforms such as Azure, AWS, or GCP, particularly their data warehousing and BI tools (e.g., Azure Synapse, AWS Redshift, or Google BigQuery).
• Understanding of data governance, quality, and security best practices.
• Ability to translate business requirements into technical data models and BI solutions.
• Strong attention to detail and a structured approach to problem-solving.
• Clear communicator who can explain complex technical concepts to non-technical stakeholders.
• Collaborative mindset with a willingness to learn and adapt in a dynamic environment.

• Experience with SAP S/4HANA data structures, SAP BDC, or Datasphere.
• Hands-on experience with Databricks or Microsoft Fabric for data warehousing or analytics.
• Familiarity with o9 Solutions or similar planning platforms.
• Exposure to planning-related use cases such as forecasting, supply chain, or financial analytics.
• Interest in automation, CI/CD pipelines, or infrastructure-as-code for data warehousing.
• Experience with BI tools like Power BI, Tableau, or similar for building dashboards and visualizations.

• A mission-driven focus: enable smarter decision-making through trusted, well-modeled data.
• Real impact on business operations through actionable insights and analytics.
• A collaborative, learning-focused team environment that values growth and innovation.
• A modern, cloud-first technology stack with tools that are always evolving.
• Flexibility in how and where you work—remote, hybrid, or onsite.