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Synapri

Senior Analytics Engineer

Synapri Sheffield
65,000 to 75,000
32 - 40 hour
new


Show Recently closed jobs

    Synapri

    Senior Analytics Engineer

    Synapri Sheffield
    65,000 to 75,000
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £65,000 to £75,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    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.

    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
    Salary description

    £65000.00 - £75000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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