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Senior Analytics Engineer
Job in
Sheffield, South Yorkshire, S5, England, UK
Listed on 2026-10-19
Listing for:
Synapri
Full Time
position Listed on 2026-10-19
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
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.
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.
- 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)
Position Requirements
10+ Years
work experience
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