Queen Square Recruitment
Sr Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer in London (Hybrid- 2 days) with a contract duration of 6 months+. Key skills include advanced Snowflake and PL/SQL expertise, ETL/ELT pipeline development, and familiarity with cloud platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 22, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Cloud #Airflow #Azure #Data Engineering #Data Governance #Agile #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Scrum #Data Quality #Python #dbt (data build tool) #Snowflake #AWS (Amazon Web Services) #SQL (Structured Query Language) #Data Transformations
Role description
New Exciting opportunity for the role of Sr Data Engineer
Location: London (Hybrid- 2 days)
Contract Duration: 6 Months+'
IR35 Status: Inside IR35
• Essential Skills & Experience:
• Strong experience with Snowflake (E2 level – advanced hands-on)
• Hands-on experience with DBT / Data Build Tool (E1 level)
• Strong expertise in PL/SQL (E2 level)
• Experience building ETL/ELT pipelines and data transformations
• Strong SQL skills and understanding of data warehousing concepts
• Experience with data modelling (dimensional, star schema)
• Familiarity with cloud data platforms (AWS, Azure, or GCP)
• Experience working in Agile/Scrum environments
• Desirable Skills:
• Experience with Airflow or orchestration tools
• Knowledge of CI/CD pipelines for data engineering
• Exposure to data governance and data quality frameworks
• Experience with Python for data engineering tasks
New Exciting opportunity for the role of Sr Data Engineer
Location: London (Hybrid- 2 days)
Contract Duration: 6 Months+'
IR35 Status: Inside IR35
• Essential Skills & Experience:
• Strong experience with Snowflake (E2 level – advanced hands-on)
• Hands-on experience with DBT / Data Build Tool (E1 level)
• Strong expertise in PL/SQL (E2 level)
• Experience building ETL/ELT pipelines and data transformations
• Strong SQL skills and understanding of data warehousing concepts
• Experience with data modelling (dimensional, star schema)
• Familiarity with cloud data platforms (AWS, Azure, or GCP)
• Experience working in Agile/Scrum environments
• Desirable Skills:
• Experience with Airflow or orchestration tools
• Knowledge of CI/CD pipelines for data engineering
• Exposure to data governance and data quality frameworks
• Experience with Python for data engineering tasks
