

Q1 Technologies, Inc.
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis (outside IR35) located at "25 Walbrook, London." Key skills include Azure Data Lake, Snowflake, SQL, Python, and data integration with Salesforce.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Outside IR35
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🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #YAML (YAML Ain't Markup Language) #SQL (Structured Query Language) #Data Engineering #dbt (data build tool) #ADF (Azure Data Factory) #PySpark #Data Quality #Data Integration #Snowflake #Data Lake #Databricks #Azure Data Factory #Airflow #ADLS (Azure Data Lake Storage) #Azure #Apache Airflow #SnowPipe #Spark (Apache Spark) #Data Pipeline #Python #Data Modeling
Role description
• We are hiring for - SR data engineer
• Work location - 25 Walbrook London
• Duration- Contract (outside Ir35 )
• • Responsibilities:
• o Build and maintain data pipelines
• o Design and optimize Snowflake data models
• o Implement data quality frameworks
• o Integrate Salesforce, transactional, and external data
•
• • Key Skills:
• o Azure Data Lake & ADLS Gen2
• o Snowflake (data modeling, ELT)
• o SQL, Python
• o dbt, Airflow (or similar)
• o Salesforce data integration
• o Azure Data Factory
• o Databricks & PySpark
• o SQL & Self Joins
• o Snowflake & Snowpipe
• o DBT, (ref(),YAML profiles)
• o Apache Airflow
• o ETL/Data Warehousing Architecture
• We are hiring for - SR data engineer
• Work location - 25 Walbrook London
• Duration- Contract (outside Ir35 )
• • Responsibilities:
• o Build and maintain data pipelines
• o Design and optimize Snowflake data models
• o Implement data quality frameworks
• o Integrate Salesforce, transactional, and external data
•
• • Key Skills:
• o Azure Data Lake & ADLS Gen2
• o Snowflake (data modeling, ELT)
• o SQL, Python
• o dbt, Airflow (or similar)
• o Salesforce data integration
• o Azure Data Factory
• o Databricks & PySpark
• o SQL & Self Joins
• o Snowflake & Snowpipe
• o DBT, (ref(),YAML profiles)
• o Apache Airflow
• o ETL/Data Warehousing Architecture





