DUTIES AND RESPONSIBILITIESData platform engineering- Design and build scalable data pipelines, ingestion, transformation, and orchestration processes on Microsoft Fabric.
- Develop the enterprise lakehouse architecture and data models that serve analytics, reporting, and AI use cases.
- Integrate data across multiple applications via APIs and ETL tooling.
- Optimise performance, reliability, and cost, and embed CI/CD and DevOps practices for platform deployments.
Business intelligence & analytics- Translate business requirements into analytical datasets, semantic models, and Power BI reporting across Sales, Finance, Marketing, Customer Success, Operations and more.
- Build executive and board-level reporting datasets, and champion self-service analytics adoption.
Data science & AI- Develop forecasting, statistical, and predictive models using enterprise data assets.
- Support AI and machine-learning initiatives and evaluate emerging technologies for practical business value.
Governance & quality- Implement data quality monitoring, validation, and master data management practices.
- Establish cataloguing, lineage, and metadata management through Microsoft Purview, and support security, privacy, and regulatory compliance.
Stakeholder partnership- Work with leadership and data owners to improve definitions, consistency, and measurement frameworks.
- Communicate technical concepts clearly to technical and non-technical audiences alike.
SKILLS AND REQUIREMENTS- A degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field - or equivalent practical experience.
- 5+ years experience in a relevant field, flexible for the right candidate.
- A strong track record designing and running enterprise-scale data pipelines and integrations across multiple applications.
- Deep SQL expertise, data warehousing, and dimensional modelling, with experience of lakehouse and modern data architecture patterns.
- Hands-on experience with Microsoft Fabric (or equivalent platform), or a strong Azure data estate (e.g. Azure Data Factory, Synapse) with the appetite to specialise in Fabric.
- Power BI development, including semantic models.
- Python and/or R for analytics and automation, plus source control and DevOps practices.
- Applied experience in at least one of: predictive modelling, statistical analysis, forecasting, machine learning, or AI solution development.
- Experience with business platforms such as Salesforce, NetSuite, and CRM/ERP integration patterns.
- Microsoft, Azure, Fabric, or data engineering certifications.
- Highly analytical and naturally curious, with strong attention to detail.
- Ability to translate ambiguous business questions into clear data requirements and solutions
- Comfortable moving between deep technical work and business conversations.
- Able to work independently, manage competing priorities, and communicate with impact.
- Passionate about data quality, governance, and continuous improvement.
COMPENSATION - OTE $154k - 165k per annum
PERKS AND BENEFITS - Hybrid Work Arrangements
- Flex PTO
- Competitive Group Benefits Plan
- Perkopolis Membership Access - Employee perk and discount programs.
- Wellness Program
- Social Events
This opportunity is to fill an existing vacancy
