Analytics Engineer: AI-Driven Data, Pipelines & Insights

Siemens Healthineers; Crawley; On-site; GBP 60,000 - 90,000; Full time

Job summary

Siemens Healthineers in Crawley (UK) is seeking an Analytics Engineer to bridge data engineering and analytics, building scalable data models, semantic layers and automated pipelines powering reporting and AI-enabled insights.

You’ll work with Snowflake, Power BI and dbt, collaborate with data engineers, BI developers and business stakeholders, and contribute to governance, documentation and self-service analytics.

Qualifications

• Experience in Analytics Engineering or data-focused roles.
• Strong SQL skills and data modelling understanding.
• Ability to translate business requirements into analytics solutions.

Responsibilities

• Design and develop analytics-ready data models and semantic layers in Snowflake.
• Build scalable data transformations and automated data quality processes.
• Create trusted datasets and standardised KPIs that support consistent reporting.
• Partner with Data Engineers, BI Developers and business stakeholders to deliver meaningful insights.
• Drive data governance, documentation and business-friendly data definitions.
• Support self-service analytics and AI-powered reporting capabilities.
• Improve data reliability, performance and automation across the analytics ecosystem.

Skills

Strong SQL skills

Analytics Engineering experience

Communication & collaboration

Tools

Snowflake

Power BI

dbt

Job description

Siemens Healthineers in Crawley (UK) is seeking an Analytics Engineer to bridge data engineering and analytics, building scalable data models, semantic layers and automated pipelines powering reporting and AI-enabled insights.

You’ll work with Snowflake, Power BI and dbt, collaborate with data engineers, BI developers and business stakeholders, and contribute to governance, documentation and self-service analytics.