Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Glasgow (hybrid: 3 days on-site, 2 days remote) with a contract inside IR35. Required: Banking/Financial Services experience, SQL/PLSQL, Python, data pipeline development, and experience with complex data environments. Pay rate unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Complex Queries #Python #Libraries #Pandas #SQL (Structured Query Language) #Spark (Apache Spark) #RDBMS (Relational Database Management System) #NumPy #Data Pipeline #Data Analysis #NoSQL #PySpark #Data Engineering #Cloud
Role description
i am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote.
The role falls inside IR35 so you will have to work through an umbrella company.
Banking / Financial Services Experience Is Required.
You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
Experience in data development and solutions in highly complex data environments with large data volumes.
SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud).
Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files etc).
Please apply ASAP to find out more
i am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote.
The role falls inside IR35 so you will have to work through an umbrella company.
Banking / Financial Services Experience Is Required.
You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
Experience in data development and solutions in highly complex data environments with large data volumes.
SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud).
Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files etc).
Please apply ASAP to find out more
