Talent Complete
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a B2B contract in Glasgow for 6 months, offering a competitive pay rate. Key skills include Python, Databricks, Snowflake, and experience with large datasets. A Bachelor's degree and 4+ years in data pipelines are required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 7, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Data Modeling #GIT #Spark (Apache Spark) #Version Control #Database Performance #"ETL (Extract #Transform #Load)" #Linux #Code Reviews #NumPy #Datasets #Microsoft Power BI #Agile #PySpark #Pandas #Data Integration #Big Data #BI (Business Intelligence) #Data Engineering #Python #REST (Representational State Transfer) #Automation #Hadoop #REST API #Scala #Data Quality #Data Pipeline #Snowflake #Databricks #Cloud #Data Framework #Airflow #Computer Science
Role description
Join our hybrid Data Engineering team in Glasgow (B2B contract) and help us build modern, high-performance data pipelines with Python, Databricks, and Snowflake. You’ll collaborate across teams, drive technical excellence, and continuously enhance our data processes within an Agile setup.
Key Responsibilities:
• Design, develop, and deploy ETL and data pipeline solutions using Python, Databricks, and Snowflake.
• Collaborate across teams to define data requirements and ensure alignment with business goals.
• Manage data quality, integrity, and performance optimization across large datasets.
• Implement testing and automation frameworks, ensuring reliability and scalability.
• Utilize REST APIs for data integrations and Airflow for orchestration.
• Participate in Agile ceremonies, code reviews, and continuous improvement initiatives.
• Document data flows, technical designs, and transformation logic.
Required Skills & Experience:
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent).
• 4+ years developing data pipelines and data warehousing solutions using Python (Pandas, PySpark, NumPy).
• 3+ years working with Databricks and Snowflake (or similar cloud data platforms).
• Experience handling large, complex datasets and advanced ETL/data modeling.
• Strong understanding of data integration, version control (Git), and Agile practices.
• Familiarity with Linux, REST APIs, Power BI, and Airflow.
• Experience with database performance tuning and big data frameworks (Hadoop, Spark).
• Excellent communication, analytical, and problem-solving skills; able to collaborate effectively in cross-functional teams.
• Self-driven, organized, and adaptable to changing priorities.
Nice to Have:
• Background in financial services and understanding of regulatory frameworks.
Join our hybrid Data Engineering team in Glasgow (B2B contract) and help us build modern, high-performance data pipelines with Python, Databricks, and Snowflake. You’ll collaborate across teams, drive technical excellence, and continuously enhance our data processes within an Agile setup.
Key Responsibilities:
• Design, develop, and deploy ETL and data pipeline solutions using Python, Databricks, and Snowflake.
• Collaborate across teams to define data requirements and ensure alignment with business goals.
• Manage data quality, integrity, and performance optimization across large datasets.
• Implement testing and automation frameworks, ensuring reliability and scalability.
• Utilize REST APIs for data integrations and Airflow for orchestration.
• Participate in Agile ceremonies, code reviews, and continuous improvement initiatives.
• Document data flows, technical designs, and transformation logic.
Required Skills & Experience:
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent).
• 4+ years developing data pipelines and data warehousing solutions using Python (Pandas, PySpark, NumPy).
• 3+ years working with Databricks and Snowflake (or similar cloud data platforms).
• Experience handling large, complex datasets and advanced ETL/data modeling.
• Strong understanding of data integration, version control (Git), and Agile practices.
• Familiarity with Linux, REST APIs, Power BI, and Airflow.
• Experience with database performance tuning and big data frameworks (Hadoop, Spark).
• Excellent communication, analytical, and problem-solving skills; able to collaborate effectively in cross-functional teams.
• Self-driven, organized, and adaptable to changing priorities.
Nice to Have:
• Background in financial services and understanding of regulatory frameworks.
