Senior Analytics Engineer - Databricks - Pyspark - Dimensional Models - Unity Catalog - Kimball
We're looking for a Senior Analytics Engineer to lead the design and delivery of curated, analytics-ready data within our Lakehouse environment.
You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI.
Key Responsibilities:
- Design and deliver dimensional and semantic data models for analytics.
- Define and maintain KPIs, conformed dimensions and consistent data definitions.
- Develop and optimise SQL and PySpark pipelines using Databricks.
- Ensure high standards of data quality, testing, performance and observability.
- Lead modelling reviews and contribute to technical and architectural decisions.
- Contribute to CI/CD, automation, testing and data governance standards.
About You
- Strong experience as an Analytics Engineer within a modern data platform environment.
- Expert-level SQL and strong hands-on PySpark experience.
- Strong understanding of dimensional modelling, semantic layers and analytics engineering.
- Proven experience with Databricks and Lakehouse architectures.
- Excellent stakeholder management and communication skills.
- Experience providing technical leadership or mentoring.
- Experience with Unity Catalog, dbt or similar transformation frameworks.
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Senior Analytics engineer employer: Synapri
At Synapri, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our team enjoys flexible remote working arrangements with the opportunity for occasional office interactions in London, ensuring a healthy work-life balance while contributing to cutting-edge LegalTech solutions. We are committed to employee growth, providing access to training and development resources that empower our engineers to excel in their careers.
