Analytics Engineer

• Lead the design and development of curated, analytics-ready dimensional and semantic data models.
• Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks.
• Define and maintain KPI definitions, conformed dimensions and consistent business logic across data domains.
• Ensure data quality, integrity, testing, observability and performance across the curated data layer.
• Lead modelling design reviews and contribute to technical and architectural decisions.
• Work closely with Data Architects, BI Developers, analysts and business stakeholders to translate requirements into effective data solutions.
• Establish and promote engineering standards, data governance practices and reusable modelling patterns.
• Contribute to CI/CD pipelines, automated testing frameworks and continuous improvement across the data platform.

• Significant experience working as an Analytics Engineer or in a closely related data engineering role.
• Expert-level SQL skills and strong hands-on experience with PySpark.
• Proven experience working with Databricks and Lakehouse architectures.
• Strong understanding of dimensional modelling, including fact tables, dimension tables, star schemas and semantic layers.
• Experience developing curated, analytics-ready datasets for Business Intelligence and analytics consumption.
• Ability to translate complex business requirements into well-structured data models and consistent KPI definitions.
• Strong understanding of data quality, performance optimisation and reliable data transformation practices.
• Experience providing technical leadership, reviewing designs or mentoring other engineers.

Remote (ad-hoc travel to client HQ)

Synapri are looking for an experienced Senior Analytics Engineer to play a key role in developing high-quality, analytics-ready data across its modern data platform.

This is an opportunity to take ownership of the curated data layer within a Databricks Lakehouse environment, translating complex business requirements into robust data models and transformation pipelines that support reporting, analytics, and business decision-making.