

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 in London, offering a competitive salary. Key skills include strong SQL, PySpark, and dimensional modeling. Experience with Lakehouse platforms and data transformations is essential. Hybrid work model.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
354
-
🗓️ - Date
April 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#PySpark #Scala #Dimensional Modelling #Datasets #Data Transformations #Data Quality #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #BI (Business Intelligence) #SQL (Structured Query Language) #Data Engineering
Role description
Analytics Engineer - 12 Month FTC
London based role
Hybrid | Competitive Salary | Leading Data Transformation Programme
We're partnering with a highly respected organisation undergoing a major data transformation, and they're looking for an Analytics Engineer to join their growing data team on a 12-month fixed-term contract.
This is a fantastic opportunity to work on a cutting-edge Lakehouse platform, helping shape how data is modelled, structured, and delivered across the business.
The Opportunity:
You'll sit at the heart of the data function, bridging the gap between engineering and business teams. Your work will directly enable high-quality reporting, trusted insights, and data-driven decision-making at scale.
What You'll Be Doing:
• Building curated, analytics-ready datasets using modern modelling techniques
• Developing robust transformation pipelines using SQL and PySpark
• Collaborating with Data Engineers to enhance the data platform
• Translating business needs into scalable, well-structured data models
• Embedding data quality, testing, and governance into workflows
• Working closely with BI teams and stakeholders to deliver reliable insights
What We're Looking For:
• Proven experience as an Analytics Engineer or similar role
• Strong SQL skills and experience with complex data transformations
• Hands-on experience with PySpark and modern data platforms (Lakehouse preferred)
• Solid understanding of dimensional modelling
• Strong communication skills - able to work across technical and business teams
• A passion for clean, reliable, high-quality data
If you are interested please apply, to follow up please email or message me on LinkedIn.
Analytics Engineer - 12 Month FTC
London based role
Hybrid | Competitive Salary | Leading Data Transformation Programme
We're partnering with a highly respected organisation undergoing a major data transformation, and they're looking for an Analytics Engineer to join their growing data team on a 12-month fixed-term contract.
This is a fantastic opportunity to work on a cutting-edge Lakehouse platform, helping shape how data is modelled, structured, and delivered across the business.
The Opportunity:
You'll sit at the heart of the data function, bridging the gap between engineering and business teams. Your work will directly enable high-quality reporting, trusted insights, and data-driven decision-making at scale.
What You'll Be Doing:
• Building curated, analytics-ready datasets using modern modelling techniques
• Developing robust transformation pipelines using SQL and PySpark
• Collaborating with Data Engineers to enhance the data platform
• Translating business needs into scalable, well-structured data models
• Embedding data quality, testing, and governance into workflows
• Working closely with BI teams and stakeholders to deliver reliable insights
What We're Looking For:
• Proven experience as an Analytics Engineer or similar role
• Strong SQL skills and experience with complex data transformations
• Hands-on experience with PySpark and modern data platforms (Lakehouse preferred)
• Solid understanding of dimensional modelling
• Strong communication skills - able to work across technical and business teams
• A passion for clean, reliable, high-quality data
If you are interested please apply, to follow up please email or message me on LinkedIn.






