Senior Analytics Engineer - Analytics Engineering - Databricks - Pyspark - Dimensional Modelling

Nexere Consulting Limited; Greater London; Sur place; GBP 70 000 - 110 000; Plein temps

Résumé du poste

Nexere Consulting Limited seeks a Senior Analytics Engineer to lead the design and delivery of curated, analytics-ready data within a Lakehouse environment.

You will 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. You will also provide technical leadership and mentorship to establish best practices across the team.

Qualifications

• 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.

Responsabilités

• 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.
• Work closely with Data Architects, BI teams, analysts and business stakeholders.
• Mentor and support other Analytics Engineers.
• Contribute to CI/CD, automation, testing and data governance standards.

Connaissances

SQL

PySpark

Databricks

Dimensional modeling

Stakeholder management

Mentorship

Outils

Unity Catalog

dbt

Delta Lake

Description du poste

Senior Analytics Engineer - Analytics Engineering - Databricks - Pyspark - Dimensional Models - Perm

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.

You’ll also provide technical leadership and mentorship, helping to establish best practices across the team.

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.
• Work closely with Data Architects, BI teams, analysts and business stakeholders.
• Mentor and support other Analytics Engineers.
• Contribute to CI/CD, automation, testing and data governance standards.

About You

Essential:

• 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.

Desirable:

• Experience with Unity Catalog, dbt or similar transformation frameworks.
• Knowledge of Delta Lake, data governance and metadata management.
• Experience with CI/CD and automated testing.