

Nexere Consulting
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer for a 12-month FTC, offering up to £75,000, fully remote. Key skills include advanced SQL, PySpark, and experience with Databricks and lakehouse architectures. Strong analytics engineering and leadership experience required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
340
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🗓️ - Date
April 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Microsoft Power BI #Data Engineering #Data Governance #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #PySpark #Spark (Apache Spark) #Data Quality #Leadership #SQL (Structured Query Language) #Databricks #Observability #Dimensional Modelling #Scala
Role description
Senior Data Engineer - SQL - Pyspark - Data Modelling - Databricks - LakeHouse Architectures
• FTC role - 12 Months
• Salary - Up to £75,000 + Benefits
• Location - Remote
My client who are leaders in their field are looking for a a Senior Analytics Engineer, you will take ownership of designing and delivering robust dimensional and semantic data models within a modern lakehouse architecture. You will convert complex business requirements into efficient, scalable transformation pipelines using SQL and PySpark, ensuring data is accurate, well-governed, and optimised for use in Power BI and other analytics and reporting tools.
Key Responsibilities:
• Lead the development and delivery of curated, analytics-ready dimensional and semantic data models
• Design, build, and maintain advanced SQL and PySpark transformation pipelines on Databricks
• Drive data quality, testing, observability, and performance across the curated data layer
• Facilitate model design reviews and contribute to broader architectural decisions
• Provide technical leadership, mentoring, and support to Analytics Engineers
• Support and enhance CI/CD processes, testing frameworks, and data governance standards across the platform
Key Skills/Experience:
• Proven experience operating as an Analytics Engineer within modern data platform environments
• Advanced SQL expertise, with strong hands-on capability in PySpark
• Deep knowledge of dimensional modelling, semantic layer design, and analytics engineering best practices
• Practical experience with Databricks and lakehouse architectures
• Strong stakeholder engagement skills, with the ability to clearly communicate complex technical concepts
• Experience providing technical leadership, including mentoring and guiding other engineers
Senior Data Engineer - SQL - Pyspark - Data Modelling - Databricks - LakeHouse Architectures
• FTC role - 12 Months
• Salary - Up to £75,000 + Benefits
• Location - Remote
My client who are leaders in their field are looking for a a Senior Analytics Engineer, you will take ownership of designing and delivering robust dimensional and semantic data models within a modern lakehouse architecture. You will convert complex business requirements into efficient, scalable transformation pipelines using SQL and PySpark, ensuring data is accurate, well-governed, and optimised for use in Power BI and other analytics and reporting tools.
Key Responsibilities:
• Lead the development and delivery of curated, analytics-ready dimensional and semantic data models
• Design, build, and maintain advanced SQL and PySpark transformation pipelines on Databricks
• Drive data quality, testing, observability, and performance across the curated data layer
• Facilitate model design reviews and contribute to broader architectural decisions
• Provide technical leadership, mentoring, and support to Analytics Engineers
• Support and enhance CI/CD processes, testing frameworks, and data governance standards across the platform
Key Skills/Experience:
• Proven experience operating as an Analytics Engineer within modern data platform environments
• Advanced SQL expertise, with strong hands-on capability in PySpark
• Deep knowledge of dimensional modelling, semantic layer design, and analytics engineering best practices
• Practical experience with Databricks and lakehouse architectures
• Strong stakeholder engagement skills, with the ability to clearly communicate complex technical concepts
• Experience providing technical leadership, including mentoring and guiding other engineers






