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
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - 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!