BlueRose Technologies
Data Engineer (Python Enterprise Developer)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Python Enterprise Developer) on a long-term contract in London, UK (hybrid, 4 days WFO). Key skills include Python, Postgres SQL, Azure Databricks, AWS, and experience with ETL pipelines and Agile methodologies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Spark (Apache Spark) #Programming #AWS (Amazon Web Services) #Azure #S3 (Amazon Simple Storage Service) #Airflow #DevOps #Big Data #Scrum #"ETL (Extract #Transform #Load)" #Scripting #Lambda (AWS Lambda) #Azure Databricks #Azure DevOps #Pandas #SQL (Structured Query Language) #GIT #Python #Databricks #Apache Airflow #NumPy #Data Engineering #Agile #Jenkins
Role description
Role Title: Data Engineer (Python Enterprise Developer)
Location: London, UK(Hybrid, 4 days WFO)
Job Type: Contract -Long-term
Must have skills:
-Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow
Detailed Job Description:
• experience in python scripting.
• Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc.
• Experience in building native python ETL pipelines for scraping/processing.
• Good to have experience in processing big data.
• Proficient in SQL programming, Postgres SQL. Spark knowledge is a good to have
• Knowledge on DevOps CI/CD like Azure Pipelines, Jenkins, Git.
• Experience working with AWS services(S3, lambda,etc) and Azure Databricks.
• Have experience in delivering project with Agile and Scrum methodology.
• Able to co-ordinate with Teams across multiple locations and time zones
• Strong interpersonal and communication skills with an ability to lead a team and keep them motivated.
• Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow
Role Title: Data Engineer (Python Enterprise Developer)
Location: London, UK(Hybrid, 4 days WFO)
Job Type: Contract -Long-term
Must have skills:
-Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow
Detailed Job Description:
• experience in python scripting.
• Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc.
• Experience in building native python ETL pipelines for scraping/processing.
• Good to have experience in processing big data.
• Proficient in SQL programming, Postgres SQL. Spark knowledge is a good to have
• Knowledge on DevOps CI/CD like Azure Pipelines, Jenkins, Git.
• Experience working with AWS services(S3, lambda,etc) and Azure Databricks.
• Have experience in delivering project with Agile and Scrum methodology.
• Able to co-ordinate with Teams across multiple locations and time zones
• Strong interpersonal and communication skills with an ability to lead a team and keep them motivated.
• Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow
