Senior Analytics Engineer
CV-LibrarySheffield, South YorkshirepermanentPosted: 16 October 2026
Apply NowSynapri 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.
Key Responsibilities:
* 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.
Essential Skills:
* 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 site)
Please apply with a copy of your updated CV for consideration
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.
Key Responsibilities:
* 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.
Essential Skills:
* 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 site)
Please apply with a copy of your updated CV for consideration