NLB Services
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Glasgow (hybrid) for 6 to 12 months, offering a competitive pay rate. Key skills required include 4+ years in Python and data pipelines, 3+ years with Databricks and Snowflake, and experience in complex data environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 5, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Apache Airflow #Snowflake #Databricks #Libraries #Scala #Big Data #BI (Business Intelligence) #NumPy #Pandas #REST (Representational State Transfer) #Airflow #Microsoft Power BI #PySpark #Python #Data Orchestration #Linux #REST API #GIT #Spark (Apache Spark) #Data Pipeline #Visualization #Database Administration #Hadoop #Data Engineering #Cloud #Data Processing
Role description
Data Engineer
Location - Glasgow (hybrid) 3 days in a week
Contract role (6 to 12 Months)
Skills / Qualifications:
· 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
· 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines
· 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions
· 3+ years of experience in data development and solutions in highly complex data environments with large data volumes.
Experience with code versioning tools (e.g., Git)
· Knowledge of Linux operating systems
· Familiarity with REST APIs and integration techniques
· Familiarity with data visualization tools and libraries (e.g., Power BI)
· Background in database administration or performance tuning
· Familiarity with data orchestration tools, such as Apache Airflow
· Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing
Data Engineer
Location - Glasgow (hybrid) 3 days in a week
Contract role (6 to 12 Months)
Skills / Qualifications:
· 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
· 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines
· 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions
· 3+ years of experience in data development and solutions in highly complex data environments with large data volumes.
Experience with code versioning tools (e.g., Git)
· Knowledge of Linux operating systems
· Familiarity with REST APIs and integration techniques
· Familiarity with data visualization tools and libraries (e.g., Power BI)
· Background in database administration or performance tuning
· Familiarity with data orchestration tools, such as Apache Airflow
· Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing
