

Harnham
Senior Analytics Engineer (12 Month FTC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer on a 12-month FTC, offering up to £78,000. It requires strong SQL and PySpark skills, experience with Databricks, and expertise in dimensional data modeling within a Lakehouse architecture. Hybrid work location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Version Control #SQL (Structured Query Language) #Data Quality #Databricks #Spark (Apache Spark) #Leadership #PySpark #Scala #Datasets #BI (Business Intelligence) #Data Engineering #Dimensional Data Models #Deployment
Role description
SENIOR ANALYTICS ENGINEER (12 MONTH FTC)
LONDON/REMOTE
UP TO £78,000
This is a high impact Senior Analytics Engineer role within a growing analytics engineering function, sitting at the heart of a major Lakehouse transformation. You will play a key role in shaping how trusted, analytics ready data is modelled and served across a complex organisation, while also providing technical leadership and mentoring within the team.
ROLES AND RESPONSIBILITIES:
The Senior Analytics Engineer will:
• Lead the design and delivery of curated, analytics ready data models within a Lakehouse environment
• Own dimensional and semantic modelling to enable consistent, trusted reporting across the business
• Build and maintain complex SQL and PySpark transformation pipelines using Databricks
• Drive data quality, testing, reliability and performance across the curated or gold data layer
• Work closely with data engineers, BI teams and business stakeholders to translate complex requirements into scalable datasets
• Provide technical leadership through design reviews, mentoring and setting analytics engineering standards
• Contribute to CI/CD and modern engineering best practices across the data platform
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
• Strong commercial experience as an Analytics Engineer within a modern data platform or Lakehouse architecture
• Expert level SQL and strong hands on PySpark capability
• Proven experience designing and owning dimensional data models for analytics and reporting
• Experience working with Databricks, including pipelines and governed data environments
• Solid understanding of engineering best practices, including testing, version control and deployment
• Confidence mentoring others and taking ownership of technical direction
APPLY BELOW!
SENIOR ANALYTICS ENGINEER (12 MONTH FTC)
LONDON/REMOTE
UP TO £78,000
This is a high impact Senior Analytics Engineer role within a growing analytics engineering function, sitting at the heart of a major Lakehouse transformation. You will play a key role in shaping how trusted, analytics ready data is modelled and served across a complex organisation, while also providing technical leadership and mentoring within the team.
ROLES AND RESPONSIBILITIES:
The Senior Analytics Engineer will:
• Lead the design and delivery of curated, analytics ready data models within a Lakehouse environment
• Own dimensional and semantic modelling to enable consistent, trusted reporting across the business
• Build and maintain complex SQL and PySpark transformation pipelines using Databricks
• Drive data quality, testing, reliability and performance across the curated or gold data layer
• Work closely with data engineers, BI teams and business stakeholders to translate complex requirements into scalable datasets
• Provide technical leadership through design reviews, mentoring and setting analytics engineering standards
• Contribute to CI/CD and modern engineering best practices across the data platform
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
• Strong commercial experience as an Analytics Engineer within a modern data platform or Lakehouse architecture
• Expert level SQL and strong hands on PySpark capability
• Proven experience designing and owning dimensional data models for analytics and reporting
• Experience working with Databricks, including pipelines and governed data environments
• Solid understanding of engineering best practices, including testing, version control and deployment
• Confidence mentoring others and taking ownership of technical direction
APPLY BELOW!






