Careerwise
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a permanent contract, offering £70,000–£80,000, hybrid location (2 days office). Key skills include Databricks, Python, SQL, and experience in data warehousing and AI tools. Azure certifications are a plus.
🌎 - Country
United States
💱 - Currency
£ GBP
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💰 - Day rate
363
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🗓️ - Date
July 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Quality #Spark (Apache Spark) #GIT #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Azure #Data Pipeline #Data Engineering #PySpark #Data Science #Azure DevOps #Databricks #Delta Lake #BI (Business Intelligence) #AI (Artificial Intelligence) #Python #Data Warehouse #DevOps #Scala
Role description
Senior Data Engineer
Location: Hybrid (2 Days office)
Type: Permanent
Salary: £70,000–£80,000 + Benefits
About the Role
We're looking for a Senior Data Engineer to join a growing AI & Data team, building modern data platforms using Databricks and Microsoft Fabric. You'll design and develop scalable data pipelines, data models and lakehouse solutions that support reporting, analytics and AI initiatives.
Key Responsibilities
• Lead data pipeline architecture development/orchestration/maintenance.
• Develop robust data models and ETL/ELT processes.
• Optimise data performance and troubleshoot pipeline issues.
• Build and maintain data warehouse/lakehouse solutions.
• Collaborate with cross-functional teams and document technical solutions.
• Support best practices around data quality, governance and CI/CD.
Required Skills
• Strong experience with Databricks.
• Excellent Python and SQL skills.
• Good knowledge of Spark, PySpark, Delta Lake, Delta Live Tables, Unity Catalog and Medallion Architecture.
• Experience with Azure DevOps, Git and CI/CD.
• Strong understanding of data warehousing, star schema, fact & dimension modelling, SCD and CDC.
• Experience building data platforms for BI, reporting and analytics.
• Exposure to AI development tools such as Cursor is desirable.
Nice to Have
• Azure certifications (AZ-900, DP-900, DP-203, DP-500).
• Databricks Lakehouse Data Engineer certification.
• MSc in Data Science or a related field.
Senior Data Engineer
Location: Hybrid (2 Days office)
Type: Permanent
Salary: £70,000–£80,000 + Benefits
About the Role
We're looking for a Senior Data Engineer to join a growing AI & Data team, building modern data platforms using Databricks and Microsoft Fabric. You'll design and develop scalable data pipelines, data models and lakehouse solutions that support reporting, analytics and AI initiatives.
Key Responsibilities
• Lead data pipeline architecture development/orchestration/maintenance.
• Develop robust data models and ETL/ELT processes.
• Optimise data performance and troubleshoot pipeline issues.
• Build and maintain data warehouse/lakehouse solutions.
• Collaborate with cross-functional teams and document technical solutions.
• Support best practices around data quality, governance and CI/CD.
Required Skills
• Strong experience with Databricks.
• Excellent Python and SQL skills.
• Good knowledge of Spark, PySpark, Delta Lake, Delta Live Tables, Unity Catalog and Medallion Architecture.
• Experience with Azure DevOps, Git and CI/CD.
• Strong understanding of data warehousing, star schema, fact & dimension modelling, SCD and CDC.
• Experience building data platforms for BI, reporting and analytics.
• Exposure to AI development tools such as Cursor is desirable.
Nice to Have
• Azure certifications (AZ-900, DP-900, DP-203, DP-500).
• Databricks Lakehouse Data Engineer certification.
• MSc in Data Science or a related field.
