Verve Talent Limited
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer focused on Azure and Snowflake modernisation, offering a 6-month contract at £"pay rate" for 4 days/week on-site in the City of London. Key skills include Azure Data Factory, Databricks, Snowflake, and Python.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 2, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Data Lake #Scala #Azure DevOps #Cloud #"ETL (Extract #Transform #Load)" #Data Engineering #Automation #Data Ingestion #ADF (Azure Data Factory) #Batch #Data Processing #Snowflake #Synapse #Terraform #Azure #Python #Azure Data Factory #SQL (Structured Query Language) #Databricks #DevOps
Role description
Data Engineer – Azure & Snowflake Modernisation (Outside IR35)
6‑month contract | 4 days/week on‑site (City of London)
A leading organisation is modernising its data ingestion landscape and looking for a Data Engineer to help migrate legacy ETL workloads into scalable, cloud‑native pipelines on Azure and Snowflake.
Responsibilites:
• Designing and building robust batch and near‑real‑time ingestion pipelines
• Migrating legacy ETL/ELT into modern Azure + Snowflake patterns
• Implementing incremental loads, CDC, schema evolution, backfills
• Standardising ingestion using reusable frameworks and best practices
• Contributing to a modern data platform built on ADF, Databricks, Synapse
Skills:
• Strong data engineering background with a focus on data ingestion
• Hands‑on experience with Azure Data Factory, Databricks, Synapse
• Solid SQL and experience with Snowflake
• Proficiency in Python for data processing and automation
• Understanding of data lake/lakehouse patterns
• Exposure to Terraform, Azure DevOps, and orchestration tools (e.g., Dagster)
Apply now for more details!
Data Engineer – Azure & Snowflake Modernisation (Outside IR35)
6‑month contract | 4 days/week on‑site (City of London)
A leading organisation is modernising its data ingestion landscape and looking for a Data Engineer to help migrate legacy ETL workloads into scalable, cloud‑native pipelines on Azure and Snowflake.
Responsibilites:
• Designing and building robust batch and near‑real‑time ingestion pipelines
• Migrating legacy ETL/ELT into modern Azure + Snowflake patterns
• Implementing incremental loads, CDC, schema evolution, backfills
• Standardising ingestion using reusable frameworks and best practices
• Contributing to a modern data platform built on ADF, Databricks, Synapse
Skills:
• Strong data engineering background with a focus on data ingestion
• Hands‑on experience with Azure Data Factory, Databricks, Synapse
• Solid SQL and experience with Snowflake
• Proficiency in Python for data processing and automation
• Understanding of data lake/lakehouse patterns
• Exposure to Terraform, Azure DevOps, and orchestration tools (e.g., Dagster)
Apply now for more details!
