Lead Analytics Engineer: Databricks & Lakehouse Architect

Nexere Consulting Limited; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

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.

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.

Skills

SQL

PySpark

Databricks

Dimensional modeling

Stakeholder management

Mentorship

Tools

Unity Catalog

dbt

Delta Lake

Job description

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.