Senior Analytics Engineer

Forward Role; Manchester; Hybrid; GBP 68.000 - 83.000; Vollzeit

Benefits dieser Stelle

Salary up to 75K

25 days’ holiday plus bank holidays

Flexible, remote / hybrid working

Two paid volunteering days a year

Private healthcare cash plan and andGP

Wellbeing initiatives and inclusive文化

Zusammenfassung

Forward Role is seeking a Senior Analytics Engineer in Manchester with hybrid working (mostly remote, occasional office visits). You will lead data modelling within a Lakehouse environment, owning the curated data layer and building robust, governed models for analytics and reporting across the business.

The role demands expert SQL, PySpark, and experience with Power BI, Databricks, and Dimensional modelling.

Qualifikationen

• Depth in dimensional modelling and semantic layers.
• Hybrid data modelling and data engineering experience.
• Expert SQL and PySpark proficiency.
• Experience with Power BI and building models.
• Databricks and Lakehouse architecture experience.
• Strong stakeholder management and leadership abilities.

Aufgaben

• Lead the design and delivery of curated analytics-ready dimensional models.
• Own KPI definitions and conformed dimensions.
• Build and maintain SQL and PySpark pipelines on Databricks.
• Shape models to support Power BI reporting.
• Partner with Analysts, Architects, Engineers and stakeholders.
• Lead modelling design reviews and architectural decisions.
• Ensure data quality, testing, observability and performance.
• Provide technical leadership and mentorship to others.
• Contribute to CI/CD, testing and governance standards.

Kenntnisse

Dimensional modelling

Semantic layers

Analytics engineering

SQL

PySpark

Power BI

Databricks

Lakehouse architecture

Stakeholder management

Mentoring/leadership

Tools

Databricks

Jobbeschreibung

Manchester – mainly remote working with occasional office visits

A professional services firm is looking for a Senior Analytics Engineer to lead data modelling within its Lakehouse environment. This is a hybrid role for someone with real depth in dimensional modelling who is equally comfortable building the engineering pipelines behind it. You’ll own the curated data layer, turning complex business requirements into robust, well-governed models that power analytics and reporting across the business.

What we’re looking for

• Strong understanding of dimensional modelling, semantic layers and analytics engineering best practice


• Proven hybrid experience across data modelling and data engineering in a modern data platform environment


• Expert-level SQL and strong PySpark experience


• Experience with Power BI, or a similar BI tool, and how models are built to support it


• Experience with Databricks and Lakehouse architecture


• Strong stakeholder management skills, with the ability to explain complex concepts clearly


• Experience mentoring or leading other engineers

What you’ll do

• Lead the design and delivery of curated, analytics-ready dimensional and semantic models


• Own KPI definitions, conformed dimensions and semantic consistency across domains


• Build and maintain complex SQL and PySpark transformation pipelines on Databricks


• Shape models that support reporting and analytics, including Power BI


• Partner closely with Data Analysts, Data Architects, Data Engineers and business stakeholders


• Lead modelling design reviews and contribute to architectural decisions


• Ensure data quality, testing, observability and performance across the curated layer


• Provide technical leadership and mentorship to less experienced analysts and engineers


• Contribute to CI/CD, testing and governance standards across the data platform

What’s on offer

• Salary up to 75K


• 25 days’ holiday plus bank holidays, with the option to buy extra


• Flexible, remote / hybrid working


• Two paid volunteering days a year
  
• Private healthcare cash plan and digital GP access


• Wellbeing initiatives and a genuinely inclusive culture

*Please note you must be based in UK and the role cannot offer sponsorship*